{"access":{"advertiser_pricing_url":"https://aidevboard.com/pricing","catalog_url":"https://aidevboard.com/api/v1/catalog","description":"Public read endpoints are open and free. API keys are optional for stable agent identity and keyed hourly throttling.","docs_url":"https://aidevboard.com/docs","mode":"open","register_url":"https://aidevboard.com/api/v1/register"},"degraded":false,"estimated":false,"has_next":true,"jobs":[{"id":"48720738-0f4b-483d-9739-14039ae457d0","company_id":"a0000000-0000-0000-0000-000000000001","title":"Research Engineer, Performance RL (Reinforcement Learning) ","slug":"research-engineer-performance-rl-2f0da25a","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the RL Teams \n Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude Sonnet 4.6 and Opus 4.6. Our work spans several key areas:\n \n \n Developing systems that enable models to use computers effectively\n \n Advancing code generation through reinforcement learning\n \n Pioneering fundamental RL research for large language models\n \n Building scalable RL infrastructure and training methodologies\n \n Enhancing model reasoning capabilities\n \n We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish.\n About the Role \n We're hiring for the Code RL team within the RL organization. As a Research Engineer, you'll advance our models' ability to safely write correct, fast code for accelerators.\n You'll need to know accelerator performance well to turn it into tasks and signals models can learn from. Specifically, you will:\n \n \n Invent, design and implement RL environments and evaluations.\n \n Conduct experiments and shape our research roadmap.\n \n Deliver your work into training runs.\n \n Collaborate with other researchers, engineers, and performance engineering specialists across and outside Anthropic.\n \n You may be a good fit if you:\n \n \n Have expertise with accelerators (CUDA, ROCm, Triton, Pallas), ML framework programming (JAX or PyTorch).\n \n Have worked across the stack – kernels, model code, distributed systems.\n \n Know how to balance research exploration with engineering implementation.\n \n Are passionate about AI's potential and committed to developing safe and beneficial systems.\n \n Strong candidates may also have:\n \n \n Experience with reinforcement learning.\n \n Experience porting ML workloads between different types of accelerators.\n \n Familiarity with LLM training methodologies.\n The annual compensation range for this role is listed below. \n For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\n Annual Salary:\n $350,000 — $850,000 USD \n Logistics \n Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\n Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience\n Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\n Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\n Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\n We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a ","salary_min":350000,"salary_max":850000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["gpu","alignment","search","jax","distributed-systems","code-generation","pytorch","llm"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5160330008","is_featured":true,"is_sticky":true,"status":"active","published_at":"2026-03-23T16:27:59Z","expires_at":"2026-08-14T14:00:28.788703Z","created_at":"2026-04-13T09:36:00.086246Z","updated_at":"2026-07-15T14:00:28.927351Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/48720738-0f4b-483d-9739-14039ae457d0"},{"id":"1a206bd4-e5b5-4a4d-8384-65e3e9c3f4ec","company_id":"2721f049-2cf2-4e3e-82d0-8d8df89c8f90","title":"SDR, Tavily","slug":"sdr-tavily-497ebf81","description":"About Nebius: \n Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.\n Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.\n Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R\u0026D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R\u0026D.\n \n About Tavily \n We’re building the search engine for AI agents. Our API is designed from the ground up to power RAG and real-time reasoning in AI systems. By connecting LLMs to high quality, trustworthy web content, we help developers build agents that are not only intelligent, but also informed.\n We work with some of the most innovative teams in AI, from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it’s powering sales assistants, research copilots, or internal knowledge tools, we’re the missing link between LLMs and the real world \n The role \n We’re hiring to expand on the immediate success and impact our founding SDR team has had. You will be the engine behind the engine, helping convert high-volume developer inbound into qualified opportunities and building an outbound motion to the teams creating cutting edge agents and AI products.\n Your responsibilities will include:   \n \n Promptly follow up with inbound and outbound prospects via email, LinkedIn, and calls to ensure no lead slips through the cracks.\n Build a deep understanding of Tavily’s ICP: AI engineers, data science teams, and product leaders building agentic systems to identify where they need grounded, real-time search in their product\n Qualify opportunities and book meetings for the Sales team, ensuring they are equiped with the correct information to win the deal.\n Provide structured feedback on signals, workflows, and outputs to help us improve Tavily based on real-life testing.\n \n We expect you to have:   \n \n 1–2 years of Sales, SDR, Analytics or Computer Science experience in a SaaS or tech environment preferred (open to exceptional entry-level candidates).\n You are in Austin and excited about an in-person office environment (think 4 days per week).\n You're resilient, energized by building relationships, and genuinely excited to learn.\n You’re genuinely curious about AI and enjoy learning what new products and teams are building, even if you’re not technical yourself.\n Ability to balance high-volume outreach with thoughtful experimentation and feedback.\n \n Key employee benefits in the US: \n \n Health insurance:  100% company-paid medical, dental, and vision coverage for employees and families.\n 401(k) plan:  Up to 4% company match with immediate vesting.\n Parental leave:  20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.\n Remote work reimbursement:  Up to $85/month for mobile and internet.\n Disability \u0026 life insurance : Company-paid short-term, long-term and life insurance coverage.\n \n \n Pay Transparency \n We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.\n Base Compensation Range\n $71,700 — $89,600 USD \n Benefits \u0026 Perks: \n \n Competitive compensation\n Career growth and learning opportunities\n Flexibility and ownership\n Collaborative and innovative culture\n Opportunity to work on impactful AI projects\n International environment and talented teams\n \n What's it like to work at Nebius: \n Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI \n Equal Opportunity Statement: \n Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.\n Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. \n If you need accommodations during the application process, please let us know.","salary_min":71700,"salary_max":89600,"location":"Austin, TX","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"junior","tags":["search","cloud","code-generation","rag","llm","agents"],"apply_url":"https://careers.nebius.com/?gh_jid=4927819101","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-14T20:05:03Z","expires_at":"2026-08-14T14:17:14.484341Z","created_at":"2026-07-15T14:17:14.584259Z","updated_at":"2026-07-15T14:17:14.584259Z","company_name":"Nebius","company_slug":"nebius","company_logo_url":"https://www.google.com/s2/favicons?domain=nebius.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/1a206bd4-e5b5-4a4d-8384-65e3e9c3f4ec"},{"id":"dbf3ed2d-61a8-46d4-8f99-13cd04d28f0e","company_id":"4c109027-78ec-41cd-b57a-dc58e47d0bd0","title":"Senior Machine Learning Scientist I, Model-Driven Optimization","slug":"senior-machine-learning-scientist-i-model-driven-optimization-eb80e6bd","description":"The Role:  \n Generate:Biomedicines is seeking a creative, rigorous, and execution-oriented machine learning scientist to join our Model-Driven Design team. This role will focus on building the ML methods, data strategies, and closed-loop systems that determine what we design, build, test, and learn from next.\n The Model-Driven Design team works at the interface of machine learning, protein design, engineering, and experimental science. We develop and apply models and quantitative frameworks that help Generate discover and optimize therapeutic proteins. In this role, you will help advance the technical foundation of our lab-in-the-loop protein optimization platform, with a focus on sequential decision-making, experimental design, property modeling, and scalable design systems.\n We are looking for someone who can serve as a technical leader and hands-on individual contributor, driving complex, high-impact work from problem framing through implementation, deployment, and experimental impact. The ideal candidate combines depth in probabilistic machine learning, Bayesian optimization, active learning, or related approaches with the practical judgment and engineering discipline to turn technical ideas into reliable systems that drive impact. You will partner closely with protein designers, wet-lab scientists, ML scientists, and engineers to build durable capabilities that accelerate therapeutic discovery.\n This role is part of a highly collaborative team environment that balances in-person collaboration with hybrid flexibility based out of our Somerville, MA office. \n Here's how you will contribute: \n \n Develop new machine learning methods and systems for lab-in-the-loop protein optimization, including property models and multi-objective optimization strategies for therapeutic protein design.\n Shape data-generation and data-use strategies that make experimental campaigns maximally informative for model improvement, therapeutic optimization, and future design cycles.\n Build and apply LLM-enabled and agentic workflows that help scientists explore design hypotheses, connect models to data and experiments, and accelerate iterative learning.\n Design, implement, test, and maintain production-quality ML models, software components, and data workflows, with attention to reliability, reproducibility, observability, and computational efficiency.\n Partner with ML engineering and software teams to integrate these components into robust, scalable platform capabilities, with clear ownership across team boundaries.\n Collaborate closely with protein designers and wet-lab scientists to ensure models and optimization systems are grounded in experimental reality and deliver measurable impact.\n Identify important technical gaps, develop proposals, define milestones, align stakeholders, and help set technical direction across cross-functional programs.\n Communicate clearly across disciplines and help raise technical standards across ML, engineering, protein design, and experimental teams.\n \n The Ideal Candidate will have: \n \n PhD in machine learning, computational biology, computer science, applied mathematics, engineering, or a related quantitative field.\n Strong practical experience with probabilistic machine learning, Bayesian optimization, active learning, experimental design, or related approaches for sequential decision-making under uncertainty.\n Experience developing machine learning methods or systems for biological, biomedical, or experimental scientific data, with an ability to reason about noisy assays, sparse labels, experimental bias, and data-generation strategy.\n Demonstrated ability to translate ML ideas into systems, tools, or workflows that affect real scientific, experimental, or product decisions.\n Strong Python skills and experience with modern ML frameworks such as PyTorch, JAX, or similar tools.\n Strong systems thinking and ability to design technical interfaces, reason about system tradeoffs, and partner with engineering teams to build scalable, maintainable ML infrastructure.\n Excellent communication skills and ability to bridge ML, engineering, protein design, and experimental stakeholders.\n Pragmatic, collaborative working style, with the ability to bring structure to open-ended problems and balance scientific rigor with execution in fast-moving, cross-functional environments.\n \n Nice to have \n \n Experience in protein design, protein engineering, antibody engineering, biologics discovery, or drug development.\n Experience partnering with experimental teams on design-build-test-learn cycles, high-throughput screening, directed evolution, pooled libraries, or model-guided experimental campaigns.\n Experience with multi-objective optimization, uncertainty calibration, model-guided library design, or experimental campaign planning.\n Experience developing and applying deep learning models, including transformer-based architectures\n Experience building or applying LLM agents, scientific copilots, or agentic syste","salary_min":192000,"salary_max":265000,"location":"Somerville, MA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","llm","healthcare","code-generation","deep-learning","pytorch","machine-learning"],"apply_url":"https://generatebiomedicines.com/open-positions?gh_jid=4696856006","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-14T19:16:51Z","expires_at":"2026-08-14T14:15:56.335011Z","created_at":"2026-07-15T14:15:56.439634Z","updated_at":"2026-07-15T14:15:56.439634Z","company_name":"Generate Biomedicines","company_slug":"generate-biomedicines","company_logo_url":"https://www.google.com/s2/favicons?domain=generatebiomedicines.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/dbf3ed2d-61a8-46d4-8f99-13cd04d28f0e"},{"id":"7befba03-6985-475e-9441-9bd1ccb173d8","company_id":"a0000000-0000-0000-0000-000000000001","title":"Research Engineer, Chip Design RL (Reinforcement Learning)","slug":"research-engineer-chip-design-rl-reinforcement-learning-39e9d4d0","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the RL teams \n Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude Fable 5 and Opus 4.8. Our work spans several key areas:\n \n Developing systems that enable models to use computers effectively\n Advancing code generation through reinforcement learning\n Pioneering fundamental RL research for large language models\n Building scalable RL infrastructure and training methodologies\n Enhancing model reasoning capabilities\n \n We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish.\n About the role \n We're hiring for the Code RL team within the RL organization. As a Research Engineer, you'll advance our models' ability to design silicon. Hardware design is difficult and unforgiving – exactly the sort of domain we want Claude to excel at.\n You'll leverage your chip design expertise and turn it into tasks and signals for models to learn from. Specifically, you will: \n \n Invent, design, and implement RL environments and evaluations for agentic RTL generation, design (including formal) verification, physical design optimization.\n Work on cross-cutting RL considerations such as EDA-tool latency optimization and proxy rewards.\n Conduct experiments and shape our roadmap.\n Deliver your work into research and production training runs.\n Collaborate with other researchers and engineers across and outside Anthropic.\n \n You may be a good fit if you: \n \n Have expertise in ASIC or FPGA design: RTL, design verification (UVM, formal methods, coverage-driven), physical design (synthesis, place-and-route, timing closure), PPA optimization, DFT, ECOs.\n Are fluent with industry EDA tools and processes.\n Have taped out chips and have experience going from spec to silicon.\n Know how to balance research exploration with engineering implementation.\n Are passionate about AI's potential and committed to developing safe and beneficial systems.\n \n Strong candidates may also have: \n \n Experience with reinforcement learning, evaluations or environments.\n Built tooling or automation around chip design flows.\n Worked on ML accelerators or high-performance compute hardware.\n Familiarity with high-level synthesis or architecture simulators.\n The annual compensation range for this role is listed below. \n For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\n Annual Salary:\n $500,000 — $850,000 USD \n Logistics \n Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\n Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience\n Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\n Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\n Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\n We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To","salary_min":500000,"salary_max":850000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["code-generation","reinforcement-learning","fine-tuning","search","llm","alignment","agents","research"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5231612008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-13T22:19:12Z","expires_at":"2026-08-14T14:00:27.276583Z","created_at":"2026-07-15T14:00:27.407964Z","updated_at":"2026-07-15T14:00:27.407964Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/7befba03-6985-475e-9441-9bd1ccb173d8"},{"id":"e57cf48d-3756-4016-8e50-400a76bbaa5d","company_id":"714f360f-a244-487d-b3f0-0c43518a9e66","title":"Staff Machine Learning Engineer, Computer Vision","slug":"staff-machine-learning-engineer-computer-vision-147d8a7f","description":"About Pinterest: \n Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.\n Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the  flexibility to do your best work. Creating a career you love? It’s Possible.\n At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.\n Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here .\n Within Pinterest, the Pinterest Labs organization focuses on applied ML research and development. Labs works across a broad variety of AI/ML initiatives—including core computer vision, multimodal representation learning, heterogeneous graph neural networks, generative modeling, and recommender systems. This is the group that develops the foundation ML models that fully leverage the tens of billions of Pins and the associated knowledge graph to improve the core product.\n We are currently hiring for the Visual Modeling team in Labs, which develops Pinterest's in-house visual encoder. In this role, you'll work with Pinterest's rich visual-text dataset to train large-scale models from scratch that are continuously shipped to production to power visualization features. You'll build multimodal representations that power applications such as recommender systems, Semantic IDs, and a range of downstream ML models. The visual encoder also produces visual tokens that power our in-house VLM and composed image retrieval models. The core visual pod is a small group (~10 engineers) inside Labs, which allows for deep collaboration. For example, engineers working on multimodal representation also contribute to our internal text-to-image generation Canvas project—collaborating on autoencoder design or on reward function development for RL training.\n  \n What you’ll do: \n \n Prototype state-of-the-art visual encoders that power Pinterest's recommender systems and internal visual language models.\n Experiment with billion-scale datasets and gain hands-on experience with large-scale GPU computing.\n Build flexible visual reasoning tools such as composed image retrieval, promptable detection/segmentation, and instruction-tuned embedding and generative models.\n Read research papers, participate in group discussions, and help brainstorm the company's overall visual generative strategy.\n Help collect relevant visual instruction training data that can be shared across multimodal representation, composed image retrieval, text-to-image generation and visual language modeling.\n Publish and share your work through conferences, paper submissions, and blog posts.\n Mentor junior researchers and research interns within the Pinterest Labs organization.\n  \n \n What we’re looking for: \n \n Research engineers and scientists with experience building and training computer vision models.\n Experience with multimodal representations and visual language modeling is strongly preferred.\n A track record of research contributions (e.g., publications, open-source work) and/or shipping ML models to production.\n Hands-on experience with large-scale model training and modern deep learning frameworks (e.g., PyTorch).\n Strong collaboration skills and a demonstrated ability to work effectively in a small, fast-moving team.\n M.S. or PhD in Machine Learning or related academic areas, or equivalent work experience.\n Publications at top ML conferences\n Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring\n \n  \n Relocation Statement: \n \n This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.\n \n  \n In-Office Requirement Statement: \n \n We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.\n This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.\n \n  \n #LI-REMOTE #LI-AK7\n At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The posit","salary_min":189308,"salary_max":389753,"location":"San Francisco, CA","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"lead","tags":["deep-learning","search","generative-ai","code-generation","computer-vision","pytorch","machine-learning"],"apply_url":"https://www.pinterestcareers.com/jobs/?gh_jid=8015537","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-13T17:51:37Z","expires_at":"2026-08-14T14:10:33.819803Z","created_at":"2026-07-15T14:10:33.975738Z","updated_at":"2026-07-15T14:10:33.975738Z","company_name":"Pinterest","company_slug":"pinterest","company_logo_url":"https://www.google.com/s2/favicons?domain=www.pinterest.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/e57cf48d-3756-4016-8e50-400a76bbaa5d"},{"id":"d3d56e8b-720c-48a0-b87b-425ecfdf4f57","company_id":"053355fc-0162-4bb9-b414-cbf7679ee9c8","title":"Staff Software Engineer - Expert Contributor Lifecycle","slug":"staff-software-engineer-expert-contributor-lifecycle-3c6eb2f9","description":"About Snorkel \n At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.\n We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!\n As a Staff Backend Engineer at Snorkel, you will set the long-term technical direction and strategy for our Expert Contributor (EC) Platform. You will be responsible for defining and driving complex, multi-quarter architectural initiatives that ensure our services are innovative, scalable, and resilient. Your work will bridge the gap between human expertise and machine learning by enabling domain experts to provide high-signal data for training and refining state-of-the-art models.\n Main Responsibilities \n \n Design and develop mission-critical systems for the end-to-end Expert Contributor (EC) lifecycle, focusing on automated onboarding workflows, performance management, and contributor retention.\n Build robust features and integrations with key third-party services, including platforms for assessments and Employer of Record systems.\n Automate supply and allocation logic to efficiently manage and deploy a high volume of ECs to various data collection projects, ensuring optimal coverage and quality.\n Prototype, optimize, and maintain scalable services to power complex data user management pipelines.\n Set the strategy and architecture for build systems, testing frameworks, and CI/CD pipelines.\n Lead the transition from scheduled releases to a robust, automated continuous deployment framework, taking end-to-end ownership of the release pipeline.\n Build proactively with empathy for both customers and subject matter experts using our tools.\n Mentor and guide Senior and Mid-level engineers on technical design, best practices, and project execution across multiple teams.\n Partner with cross-functional teams to design and deliver improvements to dev-infra, release processes, and internal tooling.\n Engage with product managers, designers, and ML experts to create a phenomenal user experience for data acquisition and refinement.\n \n Qualifications \n \n 8+ years of software engineering experience developing performant, intuitive, and scalable web application architectures and 2+ years working at a Staff level or equivalent\n Strong background in developer productivity , distributed systems , and cloud platforms (AWS preferred).\n Expertise designing REST for internal services and developers.\n Experience developing and shipping enterprise software products, specifically those focused on data collection, or machine learning applications.\n Track record of leading complex engineering initiatives , influencing stakeholders, and delivering measurable impact.\n Ability to work in a fast-paced environment with strong technical communication skills.\n \n Nice to Have \n \n Experience in hyper-growth startup environments or scaling engineering orgs.\n Experience with AI development workflows , AI-assisted code generation, or SRE automation or strong excitement to learn.\n Prior experience as a Tech Lead Manager (TLM) or equivalent role with a focus on cross-functional technical leadership and mentorship.\n \n Work Schedule \n \n Work a hybrid schedule with three days per week in our Redwood City HQ or the SF office.\n \n \n Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.\n Salary range(s) for this role\n $240,000 — $290,000 USD \n Be Your Best at Snorkel \n Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.\n Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applic","salary_min":240000,"salary_max":290000,"location":"Redwood City, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["cloud","distributed-systems","generative-ai","code-generation"],"apply_url":"https://job-boards.greenhouse.io/snorkelai/jobs/6113165004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-10T16:10:18Z","expires_at":"2026-08-14T14:04:55.434921Z","created_at":"2026-07-12T14:03:10.518955Z","updated_at":"2026-07-15T14:04:55.560229Z","company_name":"Snorkel AI","company_slug":"snorkel-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=snorkel.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/d3d56e8b-720c-48a0-b87b-425ecfdf4f57"},{"id":"cc4472bd-80d6-4ce0-b4a1-abc0923120e0","company_id":"714f360f-a244-487d-b3f0-0c43518a9e66","title":"Staff Machine Learning Engineer, Ads Conversion Core Modeling","slug":"staff-machine-learning-engineer-ads-conversion-core-modeling-6958e589","description":"About Pinterest: \n Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.\n Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the  flexibility to do your best work. Creating a career you love? It’s Possible.\n At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.\n Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here .\n We are looking for a Staff Machine Learning Engineer to lead the technical vision for our Ads Conversion Core Modeling team, building the state-of-the-art systems that power our global marketplace.\n  \n What you’ll do:  \n \n Lead the technical direction and development of state-of-the-art applied ML projects for ads conversion.  \n Design and build large-scale DNN models to improve user action prediction with low latency.  \n Mine text, visual, and user signals to better understand intention and infer interests from online activity.  \n Use AI to accelerate analysis and iteration, while applying judgment and verification to ensure correctness and quality.  \n Automate repeatable tasks such as documentation, reporting, and QA checks to speed up the development lifecycle.  \n Coach and mentor engineers while collaborating with product and sales to design new ad products.\n \n  \n What we’re looking for: \n \n Bachelor's degree in Computer Science, Statistics, or a related field.\n 6+ years of industry experience building production ML systems at scale (Search, Recommendations, or Ranking).  \n 2+ years of experience leading technical projects or teams.  \n Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs.  \n Experience with Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring.\n Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration.\n High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final deliverables.\n Strong mathematical foundation and experience with statistical methods and A/B testing. \n \n  \n Relocation Statement:  \n \n This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.\n \n  \n In-Office Requirement Statement: \n \n We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.\n This role will need to be in the office for in-person collaboration 1-2 times per month and therefore needs to be in a commutable distance from one of the following offices: San Francisco, Palo Alto, Seattle.\n \n #LI-HYBRID \n #LI-SM4\n At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.\n Information regarding the culture at Pinterest and benefits available for this position can be found here . \n US based applicants only\n $222,716 — $389,753 USD \n Our Commitment to Inclusion: \n Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religiou","salary_min":222716,"salary_max":389753,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["fine-tuning","code-generation","llm","machine-learning"],"apply_url":"https://www.pinterestcareers.com/jobs/?gh_jid=8011452","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-08T21:09:01Z","expires_at":"2026-08-14T14:10:33.648659Z","created_at":"2026-07-09T14:08:40.4464Z","updated_at":"2026-07-15T14:10:33.870462Z","company_name":"Pinterest","company_slug":"pinterest","company_logo_url":"https://www.google.com/s2/favicons?domain=www.pinterest.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/cc4472bd-80d6-4ce0-b4a1-abc0923120e0"},{"id":"e4025ddd-fba3-4d70-863f-4b95346b9c5c","company_id":"3da82454-107f-427f-88e7-01f315ef93fb","title":"Applied Research - Forward-Deployed","slug":"applied-research-forward-deployed-a5dcad80","description":"OWN YOUR INTELLIGENCE\n\n\n\nPrime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team.\n\n\n\nOur platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system for post-training at frontier scale - from SFT and RL to tool use, agent workflows, and continuously improving production models. We are building open frontier AI: open-source models trained end to end for long-horizon tasks like autonomous research, and the full-stack platform our own research team uses to build them. The next generation of AI companies, enterprises, and research teams do not just need more GPUs. They need the ability to turn their own workflows, tools, data, and feedback loops into superintelligence they own.\n\n\n\nPrime Intellect has raised $150M in total funding from Founders Fund, Radical Ventures, NVIDIA, and exceptional AI, infrastructure, and enterprise operators — including Andrej Karpathy, Dwarkesh Patel, and leaders and founders from Ramp, Perplexity, Harvey, Mercor, Zapier, Datadog, Cognition, OpenAI, Thinking Machines, Together AI, SemiAnalysis, LangChain, Browserbase, Cloudflare, Sierra, Databricks, Airbnb, OpenRouter, Standard Intelligence, Fleet, Core Auto, and more. We are looking for people who want to build at the intersection of frontier research, real infrastructure, and go-to-market for a category that does not fully exist yet.\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Forward-Deployed Research Engineer (FDRE) to serve as the primary technical interface between Prime Intellect and our most important customers: AI companies, research labs, and enterprises running post-training and agentic RL on our platform.\n\nThis is not a traditional research role. You'll spend most of your time embedded with customers, understanding their models, workflows, and goals. Then, you'll translate those objectives into concrete training runs, environment designs, evaluation harnesses, and deployment recipes using the Lab stack. You are the person who makes the platform work in practice for real workloads.\n\nYou'll work closely with our research, product, and infrastructure teams to feed field insights back into the platform, shaping what we build next based on what customers actually need.\n\n\n\n\n\nWHAT YOU'LL DO\n\n\nCUSTOMER ENGAGEMENT \u0026 TECHNICAL DELIVERY\n\n - Embed directly with strategic customers to understand their agent architectures, failure modes, and product goals\n\n - Design and build custom RL environments, evaluation harnesses, and verifiers that capture what \"good\" looks like for each customer's domain\n\n - Architect agent scaffolding — tool use, multi-step reasoning, memory, sandbox execution — tailored to customer workflows\n\n - Configure and launch training runs on Lab, iterating on reward functions, rollout strategies, and evaluation criteria\n\n - Serve as the technical lead for engagements end-to-end: from discovery through deployed, improved models\n\n\nPLATFORM FEEDBACK \u0026 ECOSYSTEM\n\n - Identify repeatable patterns from customer engagements and codify them into reference implementations, templates, and documentation\n\n - Serve as the voice of the customer internally, shaping the roadmap for Lab, verifiers, the Environments Hub, and training infrastructure\n\n - Build high-quality examples and \"recipes\" that make it easy for new customers and open-source contributors to extend the stack\n\n - Contribute to technical content (blog posts, tutorials, case studies) that demonstrates real-world platform usage\n\n\nAPPLIED RESEARCH \u0026 EXPERIMENTATION\n\n - Develop novel evaluation methodologies for agentic behavior — multi-step reasoning, tool use correctness, recovery from failure, long-horizon task completion\n\n - Prototype and iterate on agent harnesses for real-world tasks: code generation, workflow automation, document processing, and more\n\n - Experiment with reward design, rubric construction, and environment shaping to improve training signal quality\n\n - Stay current on the frontier of agentic AI, evals, and post-training methods, and bring that knowledge directly into customer work\n\n\nWHAT WE'RE LOOKING FOR\n\n - Deep hands-on experience building, evaluating, or deploying LLM-based agents in the past 1–2 years — you've seen what breaks in production and know what good evals look like\n\n - Strong intuition for evaluation design: you can look at a customer's agent and quickly identify what to measure, how to construct a rubric, and where the reward signal is weak\n\n - Working understanding of RL and post-training concepts (GRPO, RLHF, reward modeling, SFT) — you don't need to have written a trainer from scratch, but you should understand what the knobs do and why they matter\n\n - Strong Python skills and comfort with the modern AI stack (Hugging Face, inference engines, agent frameworks)\n\n - Experience in a customer-facing or consulting-adjacent technical role, or as","salary_min":150000,"salary_max":300000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"junior","tags":["agents","code-generation","llm","reinforcement-learning","search","research"],"apply_url":"https://jobs.ashbyhq.com/PrimeIntellect/73f42d73-f967-4082-b599-b8914135a6b3/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-08T18:34:29.004Z","expires_at":"2026-08-14T14:12:07.307072Z","created_at":"2026-04-13T15:01:32.600939Z","updated_at":"2026-07-15T14:12:07.432753Z","company_name":"Prime Intellect","company_slug":"PrimeIntellect","company_logo_url":"https://www.google.com/s2/favicons?domain=primeintellect.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/e4025ddd-fba3-4d70-863f-4b95346b9c5c"},{"id":"a1933842-376d-4817-ac42-d8641c10338e","company_id":"31ae48bc-c938-4c26-a348-0bf3c089a446","title":"Senior Software and AI Engineer","slug":"senior-software-and-ai-engineer-7975d207","description":"CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at  www.coreweave.com . \n About the Role:\n As a Software and AI Engineer, IT Systems, you’ll design and develop AI agents and first-party applications that bring intelligence, automation, and great user experience to CoreWeave’s internal ecosystem. You’ll work across the stack ranging from agentics frameworks (using iPaas platforms like Workato) or latest software frameworks from LangChain, LangGrapsh, Cohere, ChatGPT agentflow, OpenAI API, Gemini agent flow, or Glean API to rich, React-based interfaces and mobile experiences to robust backend services written in Node.js and Go. \n What You’ll Do:\n \n Develop agents using AI capabilities into applications using frameworks such as LangChain, LangGraph, ChatGPT API, and Glean API\n Design and build first-party web and mobile applications using React (TypeScript) and modern front-end frameworks\n Develop scalable backend services in Node.js and Go for data processing, orchestration, and automation\n Build internal AI agents and copilots that assist with tasks in Finance, Billing, and Supply Chain domains, integrating with systems like ERP, HRIS, MRP, DCIM, Data Warehouse among others - either natively or via an iPaaS like Workato or Boomi\n Implement APIs and microservices that enable modular and event-driven application architectures\n Leverage GenAI tools (Cursor, Claude, Copilot, ChatGPT Codex) to accelerate development, testing, and documentation\n Ensure robust observability, maintainability, and security across the application stack\n Collaborate with stakeholders in Finance, Accounting, Security, and Engineering to design intelligent, user-centered workflows\n \n Who You Are:\n \n Programming Experience: 3+ years of professional programming experience in languages such as TypeScript, Python, Go, C++, C#, or Java , specifically for delivering production-grade cloud services.\n Full-Stack Proficiency: Proven expertise in modern backend (e.g., FastAPI, gRPC ) and frontend technologies (e.g., React, Next ), including the development of scalable backend services in Node.js and Go.\n AI/LLM Experience: Solid familiarity with Generative AI frameworks ( LangChain, LangGraph, ChatGPT API, or Glean API ) and experience shipping production-grade AI/ML/LLM-based applications, or strong desire to build them.\n Architecture: Solid experience designing and implementing RESTful APIs, microservices , and event-driven integration architectures.\n Cloud \u0026 DevOps: Strong understanding of cloud environments (AWS, Azure, or GCP), container orchestration (e.g., Kubernetes), and proficiency with DevOps and CI/CD principles .\n Automation Tooling: 3+ years of experience in scripting (Python or Bash) for automation and tooling.\n \n Preferred:\n \n Experience developing AI-powered or agentic applications integrated with complex enterprise data (ERP, HRIS, DCIM, Data Warehouse).\n Proficiency with machine learning and data engineering platform tools (e.g., Ray, Kafka, Spark).\n Experience with iPaaS platforms (Workato, Boomi) for building internal AI agents and copilots.\n Exposure to the functional domains of Finance, Billing, or Supply Chain where intelligent automation can drive measurable business efficiency.\n \n Wondering if you’re a good fit?\n We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.\n \n You love to leverage cutting-edge GenAI tools (like Cursor, Claude, or Copilot) to accelerate your own development, testing, and documentation processes.\n You’re curious about designing solutions with user experience (UX) and long-term system maintainability as a top priority.\n You’re an expert in collaborating with non-technical stakeholders (like Finance and Accounting) to translate complex needs into intelligent, user-centered, and secure workflows.\n \n Why CoreWeave?\n At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:\n \n Be Curious at Your Core\n Act Like an Owner\n Empower Employees\n Deliver Best-in-Class Client Experiences\n Achieve More Together\n \n We support and encourag","salary_min":182000,"salary_max":242000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","microservices","llm","generative-ai","data-pipeline","api-design","code-generation","payments"],"apply_url":"https://coreweave.com/careers/job?4688220006\u0026board=coreweave\u0026gh_jid=4688220006","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-08T14:26:16Z","expires_at":"2026-08-14T14:06:51.612383Z","created_at":"2026-07-09T14:05:02.804304Z","updated_at":"2026-07-15T14:06:51.747708Z","company_name":"CoreWeave","company_slug":"coreweave","company_logo_url":"https://www.google.com/s2/favicons?domain=coreweave.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a1933842-376d-4817-ac42-d8641c10338e"},{"id":"8be5a77e-d552-4f2f-915a-59f73c770576","company_id":"2721f049-2cf2-4e3e-82d0-8d8df89c8f90","title":"Senior Software Engineer (Agentic Search) - Billing","slug":"senior-software-engineer-agentic-search-billing-268d013d","description":"About Nebius: \n Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.\n Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.\n Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R\u0026D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R\u0026D.\n About  Tavily   \n We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent — but also informed.   \n We work with some of the most innovative teams in AI — from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it's powering sales assistants, research copilots, or internal knowledge tools, we're the missing link between LLMs and the real world.   \n  \n The Role \n We are looking for a Senior Software Engineer to design and build the billing platform behind a novel search engine tailored for agentic AI consumption. This role is based in our New York office, hybrid with the NYC team.\n Our APIs are used by millions of developers and the AI agents acting on their behalf, all paying based on what they consume. You will own the systems that turn product usage into accurate, trustworthy revenue, supporting flexible billing models—usage-based pricing, subscriptions, prepaid balances with auto top-up, and enterprise contracts. Correctness is non-negotiable: every event must be measured precisely and every invoice must be right to the cent.\n ‌\n In this position, your responsibility will be to: \n \n \n Design and operate the billing platform end to end, from usage events to invoices\n \n Build metering and usage-aggregation pipelines that turn high-volume events into billable amounts\n \n Design and operate prepaid credit/wallet systems with auto top-up and balance management\n \n Support enterprise/contract billing with custom pricing, negotiated terms, and scheduled invoicing\n \n Build reconciliation, idempotency, and invoice-accuracy safeguards to ensure revenue data is always correct\n \n Lead the migration to the next generation of our billing system with no revenue loss or downtime\n \n Define observability and quality metrics for billing correctness, freshness, and throughput\n \n Ensure billing systems meet audit and compliance requirements ( SOX , financial audit)\n \n ‌\n What  we're looking for : \n \n \n 6+ years building production backend systems, of which 3+ years actively building and operating billing or metering systems in production\n \n Hands-on experience with usage-based / metered billing: rating, aggregation, and proration logic\n \n Hands-on experience with subscription / recurring billing alongside usage-based models\n \n Hands-on experience with prepaid credits / wallet systems and auto top-up mechanics\n \n Hands-on experience with enterprise / contract billing: custom pricing and negotiated terms\n \n End-to-end integration of a third-party billing platform (Stripe Billing, Metronome, Orb, or Zuora)\n \n Strong expertise in Python and TypeScript/Node (Go a plus)\n \n Production experience with transactional databases (Postgres or equivalent) for financial-grade data\n \n Built high-volume event / usage pipelines into a data warehouse (Kafka or Kinesis → Snowflake or BigQuery)\n \n Owned billing correctness in production: reconciliation, idempotency, invoice accuracy\n \n Product-Led Growth (PLG) experience: worked on billing for high-volume, self-serve users\n \n Hands-on with Auth0, Okta, or similar identity systems in production\n \n Shipped revenue systems under SOX or financial audit constraints\n \n  \n Nice to have: \n \n \n Led a billing system migration or re-platform with zero revenue loss or downtime\n \n Built hybrid billing combining usage, subscriptions, and prepaid in one system\n \n Worked across both a payments layer (Stripe) and a metering / rating layer (Metronome / Orb)\n \n Billed a developer-facing / API product with pay-as-you-go and API-key metering\n \n Used Snowflake for usage aggregation and revenue analytics\n \n  \n Why  Tavily ?   \n \n Full ownership  — small team, you own the entire infrastructure, not a slice of it   \n \n \n Real scaling challenges  — bursty scraping workloads, cache invalidation, multi-region, millions of daily requests   \n \n \n AI-native company  — your infra directly powers AI agents used by leading companies in the spac","salary_min":147200,"salary_max":224300,"location":"New York, NY","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["cloud","data-pipeline","llm","search","rag","payments","agents","code-generation"],"apply_url":"https://careers.nebius.com/?gh_jid=4919759101","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-06T09:53:24Z","expires_at":"2026-08-14T14:17:17.412443Z","created_at":"2026-07-06T14:15:20.205556Z","updated_at":"2026-07-15T14:17:17.590053Z","company_name":"Nebius","company_slug":"nebius","company_logo_url":"https://www.google.com/s2/favicons?domain=nebius.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/8be5a77e-d552-4f2f-915a-59f73c770576"},{"id":"9d404039-fcb8-449d-a86d-505b2458db6e","company_id":"92df3417-f362-4f1a-9406-e34d8013b283","title":"Senior Data Engineer, Risk","slug":"senior-data-engineer-risk-8b142407","description":"It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 50+ million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible. Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We’ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.\n The Role \n As a Data Engineer you will handle everything from data architecture and modeling to data pipeline tooling and dashboarding. You will enable other compliance and risk teams to make impactful business decisions by laying the foundation of our large and unique datasets that span across multiple products. This role will support compliance or risk product data engineering teams.\n The Compliance Data Engineering team at Block supports the detection  and reporting of suspicious financial crimes activity across Cash App, Square, and Afterpay. We work globally with partners in business, engineering, counsel, and product to provide a safe user experience for our customers while minimizing and potentially eliminating bad activity on our platform.\n The Risk Product Data Engineering team at Block builds reliable data foundations that help protect customers across Cash App, Square, and Afterpay. We partner with product, engineering, compliance, and legal teams to support risk detection, reporting, instrumentation, and ML-ready datasets across critical domains including identity, account access, eligibility, controls, and disputes.\n You Will \n \n Lead the creation and optimization of existing data models through AI code generation on eventing, customer level, and process level data.\n Standardize business and product metric definitions in curated and optimized datasets, and develop data dictionaries and other related documentation.\n Build monitoring to assess data quality and lineage and on top build AI agents for false positive reduction and automated resolution. \n Participate in on-call rotation, monitor daily execution, diagnose and log issues, and fix business critical pipelines to ensure SLAs are met with internal stakeholders. Automate this process through AI agents to focus human effort on highest priority tasks.\n Work with non-technical partners and product teams to understand their needs, translate business requirements into applicable data requirements, and come up with automated end-to-end solutions.\n \n You Have \n \n A minimum of 10 years of related experience with a Bachelor’s degree; or 8 years and a Master’s degree; or equivalent experience.\n High proficiency in SQL, Python, and Dbt\n Experience designing medium-to-large data engineering solutions and responsible for the entire lifecycle of projects including scoping, design, development, testing, deployment, and documentation\n Experience with ETL scheduling technologies with dependency checking, such as Airflow or Prefect, as well as \n Experience in schema design and dimensional data modeling\n Experience with setting up data quality and data lineage monitoring\n Experience with data driven decisions through AI and agentic automation\n \n Technologies We Use and Teach \n \n Snowflake\n Databricks\n Dbt\n Github\n Airflow\n Prefect\n Omni\n Terraform\n \n  \n We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page .\n While there is no specific deadline to apply for this role, U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted.\n  \n Block takes a market-based approach to p","salary_min":168300,"salary_max":252500,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","payments","code-generation","data-pipeline","cloud","data-engineering"],"apply_url":"http://block.xyz/careers/jobs/5281312008?gh_jid=5281312008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-02T17:34:01Z","expires_at":"2026-08-14T14:11:28.681549Z","created_at":"2026-07-03T14:09:16.691517Z","updated_at":"2026-07-15T14:11:28.849853Z","company_name":"Block","company_slug":"block","company_logo_url":"https://www.google.com/s2/favicons?domain=block.xyz\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/9d404039-fcb8-449d-a86d-505b2458db6e"},{"id":"a8afbdfb-b21d-4fef-89f9-4641961e6038","company_id":"5d6de1f6-4d6c-463b-8a2b-a5caeadb97b4","title":"Senior Software Engineer, Build","slug":"senior-software-engineer-build-388d7de2","description":"Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 800 of the world's leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit www.astronomer.io http://www.astronomer.io.\n\n\nABOUT THIS ROLE\n\nApache Airflow is one of the most popular open-source data platform tools. It powers the data platforms at nearly every large company and fast-growing startups: Airbnb, Uber, OpenAI, Anthropic, Nike, Capital One, Disney all use Airflow extensively. At Astronomer, we’re the largest contributors to the project and are building commercial products around Airflow to make it easier to use, run, and scale.\n\n\n\nWe’re in a unique position: as the company behind Apache Airflow, we see data as it moves across entire organizations—from raw ingestion to production dashboards, machine learning models, and AI products. Leveraging this vantage point, our R\u0026D team is developing a global context layer for data—an intelligence layer that powers search and discovery, code generation for data and analytics, and automated root cause analysis. LLMs are already quite good at writing Python and SQL code against data platforms; we think this context layer will give them the metadata necessary for data practitioners everywhere to use LLMs effectively.\n\n\n\nAs a Software Engineer on this team, you’ll help design and build this foundation and the applications around it. You’ll work on some of the hardest and most exciting challenges in data—search, information retrieval, and AI for data pracitioners—while collaborating with a small, highly skilled team that values velocity, creativity, and impact. This role sits at the intersection of applied research, software engineering, and product: we think it takes someone who can work across the stack to build, release, and scale products successfully in this space.\n\n\n\nHybrid Work Model: For this role, you will embrace a flexible hybrid work model with at least 3 days per week in our New York City office.\n\n\n\n\n\nWHAT YOU GET TO DO:\n\n - Shape the future of AI for data engineering - build intelligent systems that understand, reason about, and optimize the flow of data across entire organizations.\n\n - Design and engineer the brain of Astronomer’s context layer, crafting components that power data modeling, semantic search, retrieval, and code generation.\n\n - Push the boundaries of applied AI - experiment with LLMs, embeddings, and cutting-edge retrieval techniques to create developer tools that deliver insights to you and our customers.\n\n - Turn research into reality - work side by side with R\u0026D and product teams to bring early AI concepts to life in the product experience.\n\n - Solve high-impact information retrieval and search challenges at a global scale, leveraging Astronomer’s unparalleled visibility into data pipelines across industries.\n\n - Influence the technical vision and architecture for the next generation of AI-driven data products.\n\n - Represent Astronomer in the community - through open-source contributions, technical talks, and publications that showcase our leadership in AI and data innovation.\n\n\n\n\nWHAT YOU BRING TO THE ROLE:\n\n - 5-8 years of software engineering experience with Python or Go\n\n - Empathy for users, and a deep interest in improving the workflows of data professionals.\n\n - Familiarity with early-stage product development; comfortable working with ambiguity in a fast-changing field.\n\n - Experience with LLMs, vector databases, embeddings, or other applied AI areas—or a strong desire to dive in.\n\n - A creative, experimental mindset: you enjoy exploring uncharted areas, validating hypotheses, and learning through iteration.\n\n - Strong collaboration and communication skills—you can explain complex systems clearly to both technical and non-technical audiences.\n\n - A collaborative approach and comfort working in an evolving, research-driven environment where ideas move quickly.\n\n\n\n\nBONUS POINTS IF YOU HAVE:\n\n - A passion for AI systems for data, developer tools, or machine learning infrastructure.\n\n - Familiarity with Apache Airflow or other orchestration tools.\n\n - Demonstrated contributions to open source projects.\n\n - Experience in search, IR, or large-scale data infrastructure.\n\n - Exposure to early-stage startups or R\u0026D organizations where ambiguity is the norm.\n\n - Experience building out agentic systems on top of frontier models.\n\n\n\nThe estimated total compensation for this role ranges from $200,000 - $230,000 based on leveling and geography, along with an equity component and a comprehensive benefits package. This range is merely an estimate; actual compensation may deviate from this range based on skills, experience, and qualificati","salary_min":200000,"salary_max":230000,"location":"New York, NY","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["data-pipeline","llm","code-generation","agents","embeddings","search"],"apply_url":"https://jobs.ashbyhq.com/astronomer/966b6bf1-23d9-4dab-9959-86f4494f4b3e/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-02T16:42:27.695Z","expires_at":"2026-08-14T14:19:31.192935Z","created_at":"2026-07-03T14:16:35.597942Z","updated_at":"2026-07-15T14:19:31.292489Z","company_name":"Astronomer","company_slug":"astronomer","company_logo_url":"https://www.google.com/s2/favicons?domain=astronomer.io\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a8afbdfb-b21d-4fef-89f9-4641961e6038"},{"id":"79df87ab-df8d-4b90-914b-a6e7233ba97c","company_id":"2721f049-2cf2-4e3e-82d0-8d8df89c8f90","title":"Head of Forward Deployment Engineering - Tavily ","slug":"head-of-forward-deployment-engineering-tavily-6db4e79e","description":"About Nebius: \n Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.\n Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.\n Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R\u0026D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R\u0026D.\n About Tavily:\n We're building the search engine for AI agents. Our API is designed from the ground up to power RAG and real-time reasoning in AI systems. By connecting LLMs to high quality, trustworthy web content, we help developers build agents that are not only intelligent, but also informed.\n We work with some of the most innovative teams in AI, from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it's powering sales assistants, research copilots, or internal knowledge tools, we're the missing link between LLMs and the real world.\n The role \n As Head of Forward Deployed Engineering, you'll inherit and lead a growing team of Forward Deployed Engineers while building the operating model for the next stage of scale. You'll establish how the organization hires, executes, prioritizes, and measures success, while remaining hands-on with our most strategic customer engagements. You'll partner closely with the executive team on enterprise strategy, product direction, and high-impact technical initiatives across the business.\n Forward Deployed Engineering owns how Tavily shows up technically in the field. The function sits at the intersection of enterprise customers, Product, Engineering, Sales, Customer Success, and strategic initiatives across the business. Its charter is to lead the technical execution of Tavily's most strategic customer initiatives—from discovery and POCs through production rollout and expansion—serving as the company's senior technical force for the highest-impact opportunities in the field. \n You're welcome to work remotely from within the United States, with regular presence in New York City as needed. \n Your responsibilities will include:   \n \n Define and evolve the FDE organization's vision, operating model, execution playbooks, resourcing strategy, and quarterly priorities.\n Lead, mentor, and scale an existing team of Forward Deployed Engineers by raising the bar for hiring, technical excellence, execution, and customer impact.\n Own the technical strategy for Tavily's most strategic enterprise accounts, from discovery and solution design through POCs, production rollout, and expansion.\n Partner closely with Sales and Customer Success to shape technical strategy for strategic accounts, accelerate enterprise adoption, and drive expansion opportunities.\n Serve as the senior technical voice with executive stakeholders, including CTOs, VPs of Engineering, founders, and technical decision-makers.\n Stay hands-on by leading strategic customer engagements and building reference implementations, retrieval pipelines, agentic systems, production integrations, and technical prototypes on the Tavily API.\n Support select high-impact technical initiatives where senior field expertise is needed, including strategic customer, product, or partner-facing work.\n Build scalable internal assets, including playbooks, demo environments, documentation, reference architectures, tooling, and reusable templates.\n Synthesize customer patterns and technical feedback into clear product and engineering roadmap recommendations.\n Represent Tavily externally in executive customer conversations, strategic engagements, developer communities, conferences, and technical content.\n \n We expect you to have:   \n \n 10+ years of software engineering experience, including significant experience in customer-facing technical roles such as Forward Deployed Engineer, Solutions Architect, Solutions Engineer, or Sales Engineer.\n 4+ years building or leading customer-facing engineering teams, including hiring, coaching, performance management, and organizational scaling.\n Strong hands-on engineering ability in Python, APIs, distributed systems, and modern software architecture.\n Deep experience designing and building production AI systems, including LLM applications, agentic workflows, retrieval architectures, evaluation systems, and the infrastructure required to operate them reliably at scale.\n Strong familiarity with the modern AI application stack, including agent orchestration frameworks, retrieval infrastructure, evaluation tooling, and production deployment patterns.\n Proven track record leading the technical side of e","salary_min":230000,"salary_max":310000,"location":"New York, NY","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"lead","tags":["rag","search","cloud","distributed-systems","agents","llm","code-generation"],"apply_url":"https://careers.nebius.com/?gh_jid=4879736101","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-02T13:22:51Z","expires_at":"2026-08-14T14:17:12.289178Z","created_at":"2026-07-03T14:14:32.455201Z","updated_at":"2026-07-15T14:17:12.386602Z","company_name":"Nebius","company_slug":"nebius","company_logo_url":"https://www.google.com/s2/favicons?domain=nebius.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/79df87ab-df8d-4b90-914b-a6e7233ba97c"},{"id":"0578c898-f25d-4188-ad0d-b3a4a754cecf","company_id":"1c5cd464-c475-4739-a226-7268fa45343a","title":"Software Engineer, Design Systems","slug":"software-engineer-design-systems-fd63ec1e","description":"ABOUT ASSEMBLED\n\nGreat customer support requires human agents and AI in perfect balance, and Assembled https://www.assembled.com/customers is the only unified platform that orchestrates both at scale. Companies like Canva, Etsy, and Robinhood use Assembled to coordinate their entire support operation — in-house agents, BPOs, and AI — in a single operating system. With AI Agents that resolve cases end-to-end, AI Copilot for agent assistance, and AI-powered workforce management that optimizes both human and AI capacity, Assembled helps teams deliver faster, better service while making smarter decisions about how to staff and automate. Backed by $71M from NEA, Emergence Capital, and Stripe, we're building the platform that makes AI and human collaboration actually work.\n\n\n\n\nTHE ROLE\n\nAt Assembled, we're rebuilding how design and engineering create products from the ground up — a brand-new design system and the AI-native workflows that bring it to life. We're looking for a Software Engineer to lead the technical vision for that work: defining the architecture of the system, building the infrastructure around it, and helping shape the next generation of design-to-code workflows.\n\n\n\nWorking closely with our Design Systems Designer, you'll make foundational decisions that influence every product team at Assembled — from component APIs and token architecture to performance, accessibility, developer experience, and how AI coding agents generate production-quality UI.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own the technical direction of our design system, from token architecture and components to tooling, testing, and adoption\n\n - Shape how AI coding agents build UI, through component APIs, documentation, guardrails, and developer workflows\n\n - Modernize our frontend foundations, including component architecture, tooling, and development patterns\n\n - Raise the bar for frontend quality, including performance, accessibility, responsiveness, and interaction detail\n\n - Build the infrastructure that keeps the system reliable at scale, including testing, visual regression, CI/CD, and versioned releases\n\n - Establish frontend best practices across teams, helping engineers build more consistent, maintainable, and high-quality user experiences\n\n - Influence product decisions early, surfacing technical constraints, tradeoffs, and opportunities throughout the design process\n\n\n\n\nWE'RE LOOKING FOR SOMEONE WHO:\n\n - Has 3+ years of experience building frontend products, with meaningful ownership over architecture and technical direction\n\n - Has owned or significantly evolved a design system used across multiple teams or products\n\n - Has deep frontend expertise, including TypeScript, component architecture, and modern frontend tooling.\n\n - Has raised the quality bar of a product, improving performance, accessibility, usability, and interaction design\n\n - Has strong product and design instincts, with a sharp eye for craft and user experience\n\n - Communicates clearly and collaborates effectively, especially across engineering and design\n\n - Is excited about AI-assisted development workflows, and how design systems can help guide and accelerate AI-generated code\n\n\n\n\nNICE TO HAVE\n\n - Experience with our full stack: React, Storybook, and data visualization libraries such as visx, D3, or Chart.js\n\n - Experience building B2B SaaS or highly interactive, data-rich applications\n\n\n\n\nOUR U.S. BENEFITS\n\n - Generous medical, dental, and vision benefits\n\n - Flexible time off\n\n - Monthly credits for professional development, general wellness, Assembled customers, and commuting\n\n - Paid parental leave\n\n - Catered lunches every day (M–F) and fully stocked SF office\n\n - 401(k) plan enrollment\n\n \n\nThe estimated base salary range for this role is $160,000 - $270,000 per year. The base pay offered may vary depending on location, job-related knowledge, skills, and experience. Stock options are provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered.\n\n\n\nWe know great candidates don’t always meet every requirement listed in a job description. If the role excites you and you believe you can make an impact at Assembled, we encourage you to apply. We value diverse perspectives and are committed to building an inclusive workplace where everyone feels like they belong and has the opportunity to do their best work. We look forward to hearing from you!\n\n\n\nFor United States Applicants:\nAssembled participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the United States.\n\nFor United Kingdom Applicants:\nAssembled is required to verify your right to work in the UK and will conduct a Right to Work check prior to employment in accordance with applicable law.","salary_min":160000,"salary_max":270000,"location":"United States","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["agents","llm","payments","code-generation"],"apply_url":"https://jobs.ashbyhq.com/assembledhq/a1acaea9-5c7c-462f-b07d-395c63e53907/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-01T22:12:01.786Z","expires_at":"2026-08-14T14:14:37.207014Z","created_at":"2026-07-03T14:12:14.99645Z","updated_at":"2026-07-15T14:14:37.306347Z","company_name":"Assembled","company_slug":"assembled","company_logo_url":"https://www.google.com/s2/favicons?domain=assembled.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/0578c898-f25d-4188-ad0d-b3a4a754cecf"},{"id":"b2598eb7-9a7a-4584-b0f5-224901b38d8d","company_id":"1c5cd464-c475-4739-a226-7268fa45343a","title":"Software Engineer, Design Systems","slug":"software-engineer-design-systems-042028c3","description":"ABOUT ASSEMBLED\n\nGreat customer support requires human agents and AI in perfect balance, and Assembled https://www.assembled.com/customers is the only unified platform that orchestrates both at scale. Companies like Canva, Etsy, and Robinhood use Assembled to coordinate their entire support operation — in-house agents, BPOs, and AI — in a single operating system. With AI Agents that resolve cases end-to-end, AI Copilot for agent assistance, and AI-powered workforce management that optimizes both human and AI capacity, Assembled helps teams deliver faster, better service while making smarter decisions about how to staff and automate. Backed by $71M from NEA, Emergence Capital, and Stripe, we're building the platform that makes AI and human collaboration actually work.\n\n\n\n\nTHE ROLE\n\nAt Assembled, we're rebuilding how design and engineering create products from the ground up — a brand-new design system and the AI-native workflows that bring it to life. We're looking for a Software Engineer to lead the technical vision for that work: defining the architecture of the system, building the infrastructure around it, and helping shape the next generation of design-to-code workflows.\n\n\n\nWorking closely with our Design Systems Designer, you'll make foundational decisions that influence every product team at Assembled — from component APIs and token architecture to performance, accessibility, developer experience, and how AI coding agents generate production-quality UI.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own the technical direction of our design system, from token architecture and components to tooling, testing, and adoption\n\n - Shape how AI coding agents build UI, through component APIs, documentation, guardrails, and developer workflows\n\n - Modernize our frontend foundations, including component architecture, tooling, and development patterns\n\n - Raise the bar for frontend quality, including performance, accessibility, responsiveness, and interaction detail\n\n - Build the infrastructure that keeps the system reliable at scale, including testing, visual regression, CI/CD, and versioned releases\n\n - Establish frontend best practices across teams, helping engineers build more consistent, maintainable, and high-quality user experiences\n\n - Influence product decisions early, surfacing technical constraints, tradeoffs, and opportunities throughout the design process\n\n\n\n\nWE'RE LOOKING FOR SOMEONE WHO:\n\n - Has 3+ years of experience building frontend products, with meaningful ownership over architecture and technical direction\n\n - Has owned or significantly evolved a design system used across multiple teams or products\n\n - Has deep frontend expertise, including TypeScript, component architecture, and modern frontend tooling.\n\n - Has raised the quality bar of a product, improving performance, accessibility, usability, and interaction design\n\n - Has strong product and design instincts, with a sharp eye for craft and user experience\n\n - Communicates clearly and collaborates effectively, especially across engineering and design\n\n - Is excited about AI-assisted development workflows, and how design systems can help guide and accelerate AI-generated code\n\n\n\n\nNICE TO HAVE\n\n - Experience with our full stack: React, Storybook, and data visualization libraries such as visx, D3, or Chart.js\n\n - Experience building B2B SaaS or highly interactive, data-rich applications\n\n\n\n\nOUR U.S. BENEFITS\n\n - Generous medical, dental, and vision benefits\n\n - Flexible time off\n\n - Monthly credits for professional development, general wellness, Assembled customers, and commuting\n\n - Paid parental leave\n\n - Catered lunches every day (M–F) and fully stocked SF office\n\n - 401(k) plan enrollment\n\n \n\nThe estimated base salary range for this role is $160,000 - $270,000 per year. The base pay offered may vary depending on location, job-related knowledge, skills, and experience. Stock options are provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered.\n\n\n\nWe know great candidates don’t always meet every requirement listed in a job description. If the role excites you and you believe you can make an impact at Assembled, we encourage you to apply. We value diverse perspectives and are committed to building an inclusive workplace where everyone feels like they belong and has the opportunity to do their best work. We look forward to hearing from you!\n\n\n\nFor United States Applicants:\nAssembled participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the United States.\n\nFor United Kingdom Applicants:\nAssembled is required to verify your right to work in the UK and will conduct a Right to Work check prior to employment in accordance with applicable law.","salary_min":160000,"salary_max":270000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["code-generation","payments","llm","agents"],"apply_url":"https://jobs.ashbyhq.com/assembledhq/b6bdb9ea-a144-4687-bc3b-310b369f7bde/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-01T22:08:32.779Z","expires_at":"2026-08-14T14:14:37.280711Z","created_at":"2026-07-03T14:12:15.071837Z","updated_at":"2026-07-15T14:14:37.385568Z","company_name":"Assembled","company_slug":"assembled","company_logo_url":"https://www.google.com/s2/favicons?domain=assembled.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/b2598eb7-9a7a-4584-b0f5-224901b38d8d"},{"id":"6678fec4-6a64-40bb-9949-9ec977cc5584","company_id":"1c5cd464-c475-4739-a226-7268fa45343a","title":"Software Engineer, Product (Frontend-leaning)","slug":"software-engineer-product-frontend-leaning-e44c48fe","description":"ABOUT ASSEMBLED\n\nGreat customer support requires human agents and AI in perfect balance, and Assembled https://www.assembled.com/customers is the only unified platform that orchestrates both at scale. Companies like Canva, Etsy, and Robinhood use Assembled to coordinate their entire support operation — in-house agents, BPOs, and AI — in a single operating system. With AI Agents that resolve cases end-to-end, AI Copilot for agent assistance, and AI-powered workforce management that optimizes both human and AI capacity, Assembled helps teams deliver faster, better service while making smarter decisions about how to staff and automate. Backed by $71M from NEA, Emergence Capital, and Stripe, we're building the platform that makes AI and human collaboration actually work.\n\n\n\n\nTHE ROLE\n\nWe're looking for a full-stack product engineer with deep frontend expertise.\n\n\n\nYou'll work across the stack to ship customer-facing product experiences, from polished interfaces to the backend systems, APIs, and AI-powered workflows that power them. You'll partner closely with product and design, move quickly from idea to production, and help shape both what we build and how we build it.\n\n\n\nWe're looking for a product-minded engineer who can own outcomes end-to-end, but who also brings strong frontend engineering fundamentals, exceptional product instincts, and a high bar for user experience.\n\n\n\n\n\n\nWHAT YOU'LL OWN\n\n - Build product experiences end to end — Own customer-facing features from concept through production across frontend, backend, APIs, data models, and AI-powered workflows.\n\n - Lead frontend implementation for complex products — Build intuitive, performant user experiences while bringing strong judgment around frontend architecture, state management, and application design.\n\n - Strengthen our frontend foundations — Improve performance, maintainability, developer experience, and technical quality across our React application. Drive major upgrades and architectural improvements when needed.\n\n - Create reusable systems and patterns — Build thoughtful abstractions, components, and frameworks that help the team move faster without sacrificing product quality.\n\n - Partner deeply with product and design — Turn ambiguous customer problems into elegant product experiences and iterate quickly based on customer feedback.\n\n - Shape the future of AI-assisted software development — Evaluate, experiment with, and operationalize AI coding agents and development workflows. Help us determine how engineers and AI work together to build products faster, with higher quality, and greater leverage.\n\n\n\n\nWHAT EXCITES US\n\n - 4+ years of software engineering experience building and shipping production software.\n\n - Strong full-stack engineering skills, with the ability to comfortably move between frontend, backend, APIs, databases, and infrastructure.\n\n - Exceptional frontend engineering fundamentals, including experience building large React applications and making sound decisions around architecture, performance, maintainability, and developer experience.\n\n - A strong product mindset and track record of owning customer-facing features from idea through launch.\n\n - Experience partnering closely with product managers and designers to turn ambiguous problems into polished user experiences.\n\n - Strong communication skills, both written and verbal.\n\n - Bias toward ownership and shipping, especially in fast-moving environments where priorities evolve quickly.\n\n - Experience using AI coding agents in your daily workflow and excitement about how AI is changing software development.\n\n\n\n\nNICE TO HAVES\n\n - Experience with our full stack: TypeScript, React, Storybook, and data visualization libraries such as Visx, D3, Chart.js, or similar.\n\n - Experience improving frontend performance, application architecture, build systems, or developer experience at scale.\n\n - Experience working on B2B SaaS, operational software, support tooling, or workflow-heavy products.\n\n\n\n\nOUR U.S. BENEFITS\n\n - Generous medical, dental, and vision benefits\n\n - Paid company holidays, sick time, and unlimited time off\n\n - Monthly credits to spend on each: professional development, general wellness, Assembled customers, and commuting\n\n - Paid parental leave\n\n - Catered lunches every day (M-F) and fully stocked kitchen\n\n - 401(k) plan enrollment\n\n \n\nThe estimated base salary range for this role is $140,000 - $210,000 per year. The base pay offered may vary depending on location, job-related knowledge, skills, and experience. Stock options are provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered.\n\n\n\nWe know great candidates don’t always meet every requirement listed in a job description. If the role excites you and you believe you can make an impact at Assembled, we encourage you to apply. We value diverse perspectives and are committed to building an inclusive work","salary_min":140000,"salary_max":210000,"location":"United States","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"mid","tags":["payments","agents","code-generation","llm","frontend"],"apply_url":"https://jobs.ashbyhq.com/assembledhq/c3df088b-7a30-4e1a-b9c6-def05c140c07/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-01T17:31:47.324Z","expires_at":"2026-08-14T14:14:37.541223Z","created_at":"2026-07-03T14:12:15.30293Z","updated_at":"2026-07-15T14:14:37.641563Z","company_name":"Assembled","company_slug":"assembled","company_logo_url":"https://www.google.com/s2/favicons?domain=assembled.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/6678fec4-6a64-40bb-9949-9ec977cc5584"},{"id":"41d1116e-cb85-4fcd-89ad-0908cb1e83d6","company_id":"1c5cd464-c475-4739-a226-7268fa45343a","title":"Software Engineer, Product (Frontend-leaning)","slug":"software-engineer-product-frontend-leaning-a357fe4a","description":"ABOUT ASSEMBLED\n\nGreat customer support requires human agents and AI in perfect balance, and Assembled https://www.assembled.com/customers is the only unified platform that orchestrates both at scale. Companies like Canva, Etsy, and Robinhood use Assembled to coordinate their entire support operation — in-house agents, BPOs, and AI — in a single operating system. With AI Agents that resolve cases end-to-end, AI Copilot for agent assistance, and AI-powered workforce management that optimizes both human and AI capacity, Assembled helps teams deliver faster, better service while making smarter decisions about how to staff and automate. Backed by $71M from NEA, Emergence Capital, and Stripe, we're building the platform that makes AI and human collaboration actually work.\n\n\n\n\nTHE ROLE\n\nWe're looking for a full-stack product engineer with deep frontend expertise.\n\n\n\nYou'll work across the stack to ship customer-facing product experiences, from polished interfaces to the backend systems, APIs, and AI-powered workflows that power them. You'll partner closely with product and design, move quickly from idea to production, and help shape both what we build and how we build it.\n\n\n\nWe're looking for a product-minded engineer who can own outcomes end-to-end, but who also brings strong frontend engineering fundamentals, exceptional product instincts, and a high bar for user experience.\n\n\n\nWe're in-person 5 days a week from our bright, airy offices in the Mission (San Francisco) and Chelsea Market (New York).\n\n\n\n\nWHAT YOU'LL OWN\n\n - Build product experiences end to end — Own customer-facing features from concept through production across frontend, backend, APIs, data models, and AI-powered workflows.\n\n - Lead frontend implementation for complex products — Build intuitive, performant user experiences while bringing strong judgment around frontend architecture, state management, and application design.\n\n - Strengthen our frontend foundations — Improve performance, maintainability, developer experience, and technical quality across our React application. Drive major upgrades and architectural improvements when needed.\n\n - Create reusable systems and patterns — Build thoughtful abstractions, components, and frameworks that help the team move faster without sacrificing product quality.\n\n - Partner deeply with product and design — Turn ambiguous customer problems into elegant product experiences and iterate quickly based on customer feedback.\n\n - Shape the future of AI-assisted software development — Evaluate, experiment with, and operationalize AI coding agents and development workflows. Help us determine how engineers and AI work together to build products faster, with higher quality, and greater leverage.\n\n\n\n\nWHAT EXCITES US\n\n - 4+ years of software engineering experience building and shipping production software.\n\n - Strong full-stack engineering skills, with the ability to comfortably move between frontend, backend, APIs, databases, and infrastructure.\n\n - Exceptional frontend engineering fundamentals, including experience building large React applications and making sound decisions around architecture, performance, maintainability, and developer experience.\n\n - A strong product mindset and track record of owning customer-facing features from idea through launch.\n\n - Experience partnering closely with product managers and designers to turn ambiguous problems into polished user experiences.\n\n - Strong communication skills, both written and verbal.\n\n - Bias toward ownership and shipping, especially in fast-moving environments where priorities evolve quickly.\n\n - Experience using AI coding agents in your daily workflow and excitement about how AI is changing software development.\n\n\n\n\nNICE TO HAVES\n\n - Experience with our full stack: TypeScript, React, Storybook, and data visualization libraries such as Visx, D3, Chart.js, or similar.\n\n - Experience improving frontend performance, application architecture, build systems, or developer experience at scale.\n\n - Experience working on B2B SaaS, operational software, support tooling, or workflow-heavy products.\n\n\n\n\nOUR U.S. BENEFITS\n\n - Generous medical, dental, and vision benefits\n\n - Paid company holidays, sick time, and unlimited time off\n\n - Monthly credits to spend on each: professional development, general wellness, Assembled customers, and commuting\n\n - Paid parental leave\n\n - Catered lunches every day (M-F) and fully stocked kitchen\n\n - 401(k) plan enrollment\n\n \n\nThe estimated base salary range for this role is $140,000 - $210,000 per year. The base pay offered may vary depending on location, job-related knowledge, skills, and experience. Stock options are provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered.\n\n\n\nWe know great candidates don’t always meet every requirement listed in a job description. If the role excites you and you believe you can make an im","salary_min":140000,"salary_max":210000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["code-generation","llm","agents","payments","frontend"],"apply_url":"https://jobs.ashbyhq.com/assembledhq/dc171cfa-d410-4de9-8065-e0322cd4d399/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-01T17:30:48.066Z","expires_at":"2026-08-14T14:14:37.620015Z","created_at":"2026-07-03T14:12:15.379222Z","updated_at":"2026-07-15T14:14:37.723486Z","company_name":"Assembled","company_slug":"assembled","company_logo_url":"https://www.google.com/s2/favicons?domain=assembled.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/41d1116e-cb85-4fcd-89ad-0908cb1e83d6"},{"id":"71cb87cc-5bf5-4579-9fce-5570af915937","company_id":"19955a21-2cd6-41fd-a4a8-19b7a942ac16","title":"Senior Applied AI Engineer","slug":"senior-applied-ai-engineer-243b5c82","description":"Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet.\n The Role: \n As a Lead Applied Value Engineer, you are spearheading our mission of solving critical operational challenges for enterprise customers. You will be working with strategic clients to understand their unique objectives, from modernizing legacy systems to optimizing finance processes and deploying an agentic business. In partnership with the Celonis Sales Teams, you have full responsibility for the end-to-end value journey of our customers. You are our customers' trusted advisor and help them drive adoption and realize measurable business value using Celonis.\n You can expect to blend process and industry expertise with a solution-first mindset, analyzing customer data and deploying tactical solutions. By using the Celonis Process Intelligence platform to feed critical operational context to AI and LLM tools, you will help our customers move past simple automation to deploy intelligent, autonomous agents that solve complex business bottlenecks. You’re the Celonis expert, connecting the dots between their pain points and how our platform can solve the problem. You’d be managing weekly cadences, QBRs, and value plans to demonstrate the value of our solutions to VP+ level executives.\n Key Responsibilities: \n \n Pre- and Post-Sales Execution: Actively drive the full customer lifecycle. Lead technical discovery and capability demonstrations during the pre-sales expansion cycles and remain deeply involved post-sale to guide implementation, ensuring agreed value and adoption thresholds are successfully met.\n \n Insights framing and value realization: Owns driving enterprise-wide ROI and adoption programs. Increasingly accelerates customer autonomy with improved cadences and executive sponsorship through QBRs, strategic roadmaps, and enterprise-wide value opportunities. Enables cross-functional alignment and establishes repeatable frameworks for customers to independently track, realize, and expand on business value. Domain \u0026 Industry Leadership:  Serve as the internal and external technical subject matter expert for your customer industry domain to scale knowledge across the organization. \n \n AI Discovery \u0026 Solutioning: Understand your customers' AI strategies and specific challenges. As a Celonis product expert, find the best problem-solution fit and translate customer requirements into innovative solutions that deliver measurable impact.\n \n Requirements: \n \n 4+ years of experience in pre-sales, customer success, and/or consulting functions with a background in pre/post- sales consulting, strategy consulting, business process improvement, digital transformations, or customer value realization\n Strong Technical Skills across Microsoft or competitor equivalent (e.g., AWS) certification in relevant technologies (e.g. Azure, Data Engineering..etc). Knowledge of Data Connections, Data Objects, Data Validation and Data Analysis. Knowledge and use of LLM’s, across Microsoft or competitor equivalent (e.g. Claude, Copilot…etc). Understanding of basic prompting and data constructs within a prompt. \n Value driven selling through expertise in identifying and prioritising use cases, implementing improvement measures and becoming a change agent for the customer by establishing an operating model and training users for the customer to realize value and renew/expand their subscription with Celonis\n Project Management: You are able to plan and manage project scope, expectations and timelines. You will need to manage multiple projects across your aligned accounts that will be at different parts of the value journey. Also, you will leverage partners from the Celonis Ecosystem wherever possible.\n Strong presentation skills to both internal and external stakeholders, whether leading technical whiteboarding sessions or formal readouts and demos.\n Bachelor’s Degree required; Focus in computer science, engineering, mathematics, or related fields, or equivalent work experience preferred.\n \n   Nice to have (big plus): \n \n Understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.\n Good knowledge of Python and common ML libraries (such as LangChain, pandas, sklearn, PyTorch) as well as data engineering tools and technologies.\n Hands-on experience building agentic systems using LLM orchestration, RAG, function ca","salary_min":140000,"salary_max":160000,"location":"New York, NY","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","code-generation","pytorch","llm"],"apply_url":"https://job-boards.greenhouse.io/celonis/jobs/7765659003?gh_jid=7765659003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-30T20:50:58Z","expires_at":"2026-08-14T14:10:27.384955Z","created_at":"2026-07-01T14:08:19.625034Z","updated_at":"2026-07-15T14:10:27.62632Z","company_name":"Celonis","company_slug":"celonis","company_logo_url":"https://www.google.com/s2/favicons?domain=www.celonis.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/71cb87cc-5bf5-4579-9fce-5570af915937"},{"id":"01e2772f-d909-40b0-8ac8-bb99d661949a","company_id":"2721f049-2cf2-4e3e-82d0-8d8df89c8f90","title":"Senior Business Systems Engineer (Agentic Search) - Tavily","slug":"senior-business-systems-engineer-agentic-search-tavily-e4485226","description":"About Nebius: \n Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.\n Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.\n Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R\u0026D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R\u0026D.\n \n About Tavily We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent - but also informed.\n We work with some of the most innovative teams in AI - from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it’s powering sales assistants, research copilots, or internal knowledge tools, we’re the missing link between LLMs and the real world.\n Role: \n We are looking for a Senior Business Systems Engineer to own our GTM Operations systems and strategy. You will have an integral role in architecting the engine that powers  Tavily's  growth. You will be our first hire to this team, building a seamless, scalable GTM stack and ensuring our data architecture supports world-class execution across Sales, Marketing, and Finance.   \n \n Own the end-to-end technical architecture of the GTM tech stack, ensuring seamless data flow across the entire customer lifecycle—from initial marketing  lead  to sales conversion and customer success renewal. We will be implementing a fresh SFDC instance which you will help create from the ground up.   \n \n \n Serve as the primary technical liaison for Sales, Finance, and Marketing leadership, translating complex departmental requirements into a multi-quarter technical roadmap for the Force.com platform and integrated ecosystem.   \n \n \n Establish and enforce rigorous engineering standards, including automated testing and security protocols to ensure the reliability and integrity of internal GTM applications.   \n \n What We're Looking For (Must Have): \n \n 6+ years of   Force.com  development experience with a deep understanding of Apex, LWC, and platform limits.   \n \n \n Proven track record of designing complex enterprise integrations and managing high-volume data pipelines.   \n \n \n BS/MS in Computer Science, Computer Engineering, or a related technical field.   \n \n \n Ability to navigate complex relational databases and leverage data for strategic decision-making.   \n \n \n Experience with Agile methodologies and managing a prioritized backlog in Jira or similar tools.   \n \n Nice to have:   \n \n Salesforce Certified Application or System Architect.   \n \n \n Deep experience with CPQ and Billing, Stripe, or  Netsuite  integrations.   \n \n \n Advanced expertise in Integration Platforms like  Workato , Zapier or  Mulesoft .   \n Pay Transparency \n We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.\n Base Compensation Range\n $179,500 — $224,300 USD \n Benefits \u0026 Perks: \n \n Competitive compensation\n Career growth and learning opportunities\n Flexibility and ownership\n Collaborative and innovative culture\n Opportunity to work on impactful AI projects\n International environment and talented teams\n \n What's it like to work at Nebius: \n Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI \n Equal Opportunity Statement: \n Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.\n Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. \n If you need accommodations during the application process, please let us know.","salary_min":179500,"salary_max":224300,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["code-generation","llm","agents","rag","data-pipeline","cloud","payments"],"apply_url":"https://careers.nebius.com/?gh_jid=4910059101","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-30T20:49:01Z","expires_at":"2026-08-14T14:17:15.489635Z","created_at":"2026-07-01T14:14:48.551826Z","updated_at":"2026-07-15T14:17:15.59133Z","company_name":"Nebius","company_slug":"nebius","company_logo_url":"https://www.google.com/s2/favicons?domain=nebius.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/01e2772f-d909-40b0-8ac8-bb99d661949a"},{"id":"d00a3abb-b43e-4277-b618-b45b76c66aba","company_id":"72014eb6-e84d-48c2-af5c-5424ebec0b3c","title":"Senior Security Engineer, AI Security ","slug":"senior-security-engineer-ai-security-4c6b56bc","description":"Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com .\n About The Role \n Reddit is a community of communities. It is built on shared interests, passion, and trust and is home to some of the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about.\n Reddit is hiring a Senior Security Engineer, AI Security to help teams build and ship AI-powered products securely. This role combines product security judgment with hands-on engineering to secure the systems, tools, and workflows behind Reddit's AI efforts.\n You will review AI-powered product designs, threat model LLM and agentic workflows, and build reusable security primitives that make secure AI development easier for teams across Reddit. This is not an MLE role, but you should be comfortable reasoning about how AI systems fail, how agents use tools, and how security controls fit into inference, retrieval, tool-use, and execution paths.\n The best candidates combine practical application security judgment with strong builder instincts. They can identify risks before launch, then turn repeated findings into guardrails, scanners, registries, sandboxes, libraries, policy checks, or platform controls that scale beyond one product team.\n What You'll Do \n \n Review and threat model AI-powered product features, LLM integrations, agentic workflows, MCP servers, tools, plugins, retrieval systems, model outputs, and internal AI tools before launch.\n Build reusable AI security primitives such as guardrails, scanners, policy checks, tool-use controls, registries, sandboxes, libraries, and workflow-native enforcement points.\n Design security tooling that can sit in the inference, retrieval, or execution path to detect and prevent prompt injection, jailbreaks, tool misuse, data leakage, unsafe code generation, and suspicious agent behavior.\n Partner with teams building products and platforms with AI to define practical security controls that fit how they design, build, and ship.\n Proactively find, fix, and prevent AI security issues, while making any required product or engineering changes clear and low-friction for partner teams.\n Turn one-off AI security issues into systemic fixes, paved paths, measurable controls, and reusable guidance.\n \n What We're Looking For \n \n 5+ years of experience in product security, application security, software security, security engineering, backend engineering, or security platform engineering.\n Strong application security fundamentals, including secure design review, threat modeling, code review, vulnerability prioritization, and practical remediation.\n Experience in building reliable backend services.\n Hands-on experience building security automation, developer tooling, libraries, infrastructure, or platform controls.\n Familiarity with AI, LLM, or agentic system risks such as prompt injection, jailbreaks, insecure tool use, tool poisoning, data leakage, unsafe model outputs, and abuse of AI-assisted workflows.\n Ability to reason across trust boundaries, including user input, model context, retrieval systems, backend services, tool calls, MCP servers, third-party integrations, sandboxed execution, logs, and frontend rendering.\n Practical understanding of infrastructure security concepts such as identity, authorization, network boundaries, secrets, cloud environments, containers, isolation, runtime policy enforcement, and least privilege.\n Strong engineering judgment about when to block launch, when to accept risk, and how to sequence practical remediations.\n Clear communication skills with the ability to explain technical security risk and business impact to engineers, product managers, and leadership.\n \n Preferred Qualifications \n \n Experience securing AI/LLM products, AI-assisted development tooling, agent frameworks, MCP-style tool ecosystems, retrieval-augmented generation systems, or model-integrated workflows.\n Experience building guardrails, policy engines, secure frameworks, scanners, linters, CI/CD checks, registries, gateways, or other developer-facing security platforms.\n Familiarity with agent sandboxing, workload identity, network policy, tool permissioning, AI red teaming, or LLM evaluation.\n Experience scanning or governing AI agent components such as skills, prompts, MCP servers, tool manifests, generated code, dependencies, or model-connected workflows.\n Familiarity with machine learning systems, model evaluation, AI data flows, or data governance for AI products.\n Experience with Go, Python, JavaScript, or TypeScript.\n Experience partnering with","salary_min":190800,"salary_max":267100,"location":"Remote 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