{"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":"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":"3b5bd89e-dae1-44b9-a41a-2e1a729363f6","company_id":"6734f15a-40ed-4186-ae4a-d774c655ae58","title":"Principal Scientist / Associate Director, Agentic AI Research for Materials Science","slug":"principal-scientist-associate-director-agentic-ai-research-for-materials-science-e225ff03","description":"Your Impact at LILA \n Own the technical direction for agentic AI systems applied to materials science at Lila. You will set and execute the roadmap for autonomous agents that plan, run, and interpret materials experiments, based on understanding of internal knowledge and state-of-the-art research work in public literature. Your work shifts materials research from human-paced iteration to machine-paced experimentation through scientific reasoning and understanding.\n This is a player-coach role on the PS AI team. You will lead a small group of scientists and engineers, set the bar for scientific rigor and engineering quality, and partner with diverse teams so that agentic systems land on real programs. You will own the trade-offs between research ambition and production reliability, and represent the agentic-AI direction to technical leadership.\n The work spans foundational research and applied delivery. You will publish where the science merits it, ship systems that materials teams depend on, and shape how Lila scales agentic capabilities across its materials portfolio.\n What You'll Be Building \n \n Roadmap and direction. Define and execute the agentic AI roadmap for materials science, including agentic frameworks and retrieval-augmented generation for understanding multi-modal research data from research literature and other data sources.\n Agent system architecture. Lead the design of agentic frameworks grounded in fundamental scientific understanding and the state of the art, and deliver end-to-end systems on real-world projects.\n Team leadership. Hire, mentor, and grow a small cross-functional team of scientists and engineers; set the bar for scientific rigor, code quality, and reproducibility.\n Cross-team partnership. Partner with diverse teams at Lila to push the state of the art and deliver systems that integrate with experimental infrastructure and land on real programs.\n Research currency and external voice. Track state-of-the-art in agentic AI, scientific ML, data extraction, and reasoning models; translate external advances into internal direction, and publish or present where the science merits it.\n \n What You'll Need to Succeed \n \n PhD in Computer Science, Machine Learning, Materials Science, Chemistry, Physics, or a related field, with 5+ years of post-PhD research and applied ML experience.\n Track record of building and shipping agentic systems, ML pipelines, or autonomous research workflows that delivered measurable scientific or product impact.\n Deep expertise across modern ML, NLP, and reasoning: LLMs, agentic frameworks, tool use, planning, data extraction, and multi-modal data.\n Working knowledge of materials science, computational chemistry, or condensed-matter physics sufficient to ground agent behavior in real scientific constraints.\n Proficiency in Python and the ML software stack, with strong engineering habits around reproducibility, testing, and production deployment.\n Experience leading scientists and engineers: setting technical direction, hiring, mentoring, and developing team members.\n Clear written and verbal communication; able to translate between research, engineering, and program stakeholders.\n \n Bonus Points For \n \n Publications, patents, or open-source contributions in agentic AI, scientific ML, or autonomous research systems.\n Experience integrating agents with real-world materials science tasks and familiarity with materials data representations and ontologies.\n Production experience with workflow orchestration and distributed compute on cloud or HPC.\n Community recognition: invited talks, conference organizing, or community leadership in agentic AI or scientific AI.\n Compensation \n We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\n U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\n International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\n Expected Base Salary Range\n $288,000 — $420,000 USD \n About LILA \n Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\n LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonom","salary_min":288000,"salary_max":420000,"location":"Boston, MA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["agents","rag","nlp","llm","research"],"apply_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4273850009","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-10T13:33:45Z","expires_at":"2026-08-14T14:20:39.311843Z","created_at":"2026-07-10T14:18:13.983856Z","updated_at":"2026-07-15T14:20:39.411647Z","company_name":"Lila Sciences","company_slug":"lila-sciences","company_logo_url":"https://www.google.com/s2/favicons?domain=lila.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/3b5bd89e-dae1-44b9-a41a-2e1a729363f6"},{"id":"9b918972-172d-4cf7-bea5-24effecf6a52","company_id":"41d4f321-d748-4a4e-962f-dd5d23de3e43","title":"Principal Engineer Tech Lead, Embodied AI \u0026 Off-Board Performance Evaluation","slug":"principal-engineer-tech-lead-embodied-ai-off-board-performance-evaluation-69ed84ad","description":"Mission Summary: \n Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.\n The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.\n We are seeking a talented Principal Engineer to technically oversee the design, development, and deployment of a novel Embodied AI and Large Language Model (LLM)-based monitoring framework for off-board scenario understanding, intelligence evaluation, and root cause analysis. While this role will pioneer future off-board Vision-Language-Action (VLA) integrations for off-board analysis, it requires strong foundations as an Autonomous Vehicle Performance Metrics developer.\n You will lead the creation of a specialized, off-board evaluation layer that consumes AV drive logs and fleet data to automatically infer scenario safety and assess driving intelligence without running live on the vehicle. Your architectural designs will integrate with internal systems to form a complete pipeline that identifies safety incidents, enriches them with structured context, and conducts detailed root cause analysis to provide the Autonomy team with actionable direction. If you are an innovative individual contributor with a passion for overseeing the integration of complex, scalable data pipelines and state-of-the-art Embodied AI frameworks, we encourage you to apply. \n What You'll Be Doing: \n \n Embodied AI \u0026 LLM Framework Oversight: Technically oversee the architecture to identify, describe, and enrich events in historical vehicle logs using Multimodal LLMs.\n Multi-Modal Data Fusion: Oversee the off-board ingestion and fusion of semantic scene descriptions, ego-centric kinematics, and internal autonomy telemetry to create a holistic diagnostic context for LLM inference.\n Prompt Engineering \u0026 Model Integration: Develop structured prompting templates utilizing Contextual Prompting (CP), Chain-of-Thought (CoT), and In-Context Learning (ICL) to evaluate scenarios.\n AI Inference \u0026 Evaluation Scalability: Architect the integration of foundation models into the Metrics Engine (ME), designing efficient cascade filtering and log slice parallelization strategies to scale high-volume LLM inference across simulation and on-road drive logs while managing computational latency and costs.\n AV Performance Metrics Foundations: Define, design, and implement key metrics to evaluate autonomous vehicle performance, such as lane change capability, oscillations, and braking.\n Driving Policy Integration: Deploy and manage a Retrieval-Augmented Generation (RAG) vector database containing codified AV Driving Policies to ground off-board LLM evaluations in specific Operational Design Domains.\n Cross-Functional Technical Leadership: Serve as a technical escalation point and collaborate with Autonomy (Planner, Prediction, Perception) and Systems teams to deliver high-signal, enriched events.\n Advanced Physical AI R\u0026D: Drive the transition toward Direct Vector-LLM Fusion utilizing emerging Physical AI ecosystems and open-weights Vision-Language-Action (VLA) models to process telemetry off-board without text-translation bottlenecks. \n \n What We're Looking For: \n \n 10+ years of professional experience in software engineering, applied AI/ML, or autonomous vehicle systems development.\n Bachelor's degree in Computer Science, Engineering, Robotics, or a related field.\n Proven experience working with Large Language Models (LLMs) and Vision-Language Models (VLMs) for reasoning, parsing, and scene description.\n Experience with parameter-efficient fine-tuning and deploying open-weights models on internal infrastructure.\n Familiarity with local and cloud vector databases, such as LanceDB, for housing output vector embeddings.\n Experience with adversarial scenario generation and closed-loop simulation environments.\n Strong background leveraging software to develop frameworks, libraries, and tools for calculating and aggregating AV performance metrics.\n Strong analytical and problem-solving skills, particularly in the context of complex system performance evaluation.\n Expert-level proficiency in Python and strong understanding of software development principles. \n \n Bonus Points (not required): \n \n Experience working with autonomous vehicle sensor data, including its processing and in","salary_min":200000,"salary_max":275000,"location":"Boston, MA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["embeddings","cloud","generative-ai","fine-tuning","robotics","data-pipeline","llm","rag"],"apply_url":"https://motional.com/open-positions/?gh_jid=7799671003#/7799671003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-09T14:10:05Z","expires_at":"2026-08-14T14:07:59.682275Z","created_at":"2026-07-10T14:05:50.176304Z","updated_at":"2026-07-15T14:07:59.82836Z","company_name":"Motional","company_slug":"motional","company_logo_url":"https://www.google.com/s2/favicons?domain=motional.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/9b918972-172d-4cf7-bea5-24effecf6a52"},{"id":"9cb51051-fb08-47c1-a84d-e0937ebe010e","company_id":"41d4f321-d748-4a4e-962f-dd5d23de3e43","title":"Principal Engineer Tech Lead, Embodied AI \u0026 Off-Board Performance Evaluation","slug":"principal-engineer-tech-lead-embodied-ai-off-board-performance-evaluation-50d09b91","description":"Mission Summary: \n Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.\n The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.\n We are seeking a talented Principal Engineer to technically oversee the design, development, and deployment of a novel Embodied AI and Large Language Model (LLM)-based monitoring framework for off-board scenario understanding, intelligence evaluation, and root cause analysis. While this role will pioneer future off-board Vision-Language-Action (VLA) integrations for off-board analysis, it requires strong foundations as an Autonomous Vehicle Performance Metrics developer.\n You will lead the creation of a specialized, off-board evaluation layer that consumes AV drive logs and fleet data to automatically infer scenario safety and assess driving intelligence without running live on the vehicle. Your architectural designs will integrate with internal systems to form a complete pipeline that identifies safety incidents, enriches them with structured context, and conducts detailed root cause analysis to provide the Autonomy team with actionable direction. If you are an innovative individual contributor with a passion for overseeing the integration of complex, scalable data pipelines and state-of-the-art Embodied AI frameworks, we encourage you to apply. \n What You'll Be Doing: \n \n Embodied AI \u0026 LLM Framework Oversight: Technically oversee the architecture to identify, describe, and enrich events in historical vehicle logs using Multimodal LLMs.\n Multi-Modal Data Fusion: Oversee the off-board ingestion and fusion of semantic scene descriptions, ego-centric kinematics, and internal autonomy telemetry to create a holistic diagnostic context for LLM inference.\n Prompt Engineering \u0026 Model Integration: Develop structured prompting templates utilizing Contextual Prompting (CP), Chain-of-Thought (CoT), and In-Context Learning (ICL) to evaluate scenarios.\n AI Inference \u0026 Evaluation Scalability: Architect the integration of foundation models into the Metrics Engine (ME), designing efficient cascade filtering and log slice parallelization strategies to scale high-volume LLM inference across simulation and on-road drive logs while managing computational latency and costs.\n AV Performance Metrics Foundations: Define, design, and implement key metrics to evaluate autonomous vehicle performance, such as lane change capability, oscillations, and braking.\n Driving Policy Integration: Deploy and manage a Retrieval-Augmented Generation (RAG) vector database containing codified AV Driving Policies to ground off-board LLM evaluations in specific Operational Design Domains.\n Cross-Functional Technical Leadership: Serve as a technical escalation point and collaborate with Autonomy (Planner, Prediction, Perception) and Systems teams to deliver high-signal, enriched events.\n Advanced Physical AI R\u0026D: Drive the transition toward Direct Vector-LLM Fusion utilizing emerging Physical AI ecosystems and open-weights Vision-Language-Action (VLA) models to process telemetry off-board without text-translation bottlenecks. \n \n What We're Looking For: \n \n 10+ years of professional experience in software engineering, applied AI/ML, or autonomous vehicle systems development.\n Bachelor's degree in Computer Science, Engineering, Robotics, or a related field.\n Proven experience working with Large Language Models (LLMs) and Vision-Language Models (VLMs) for reasoning, parsing, and scene description.\n Experience with parameter-efficient fine-tuning and deploying open-weights models on internal infrastructure.\n Familiarity with local and cloud vector databases, such as LanceDB, for housing output vector embeddings.\n Experience with adversarial scenario generation and closed-loop simulation environments.\n Strong background leveraging software to develop frameworks, libraries, and tools for calculating and aggregating AV performance metrics.\n Strong analytical and problem-solving skills, particularly in the context of complex system performance evaluation.\n Expert-level proficiency in Python and strong understanding of software development principles. \n \n Bonus Points (not required): \n \n Experience working with autonomous vehicle sensor data, including its processing and in","salary_min":200000,"salary_max":275000,"location":"Las Vegas, Nevada, United States","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["embeddings","robotics","data-pipeline","generative-ai","cloud","rag","fine-tuning","autonomous-vehicles"],"apply_url":"https://motional.com/open-positions/?gh_jid=7799673003#/7799673003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-09T14:10:04Z","expires_at":"2026-08-14T14:07:59.867702Z","created_at":"2026-07-10T14:05:50.099596Z","updated_at":"2026-07-15T14:07:59.996378Z","company_name":"Motional","company_slug":"motional","company_logo_url":"https://www.google.com/s2/favicons?domain=motional.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/9cb51051-fb08-47c1-a84d-e0937ebe010e"},{"id":"bd8a325e-af13-4567-9c46-1409196e7f88","company_id":"41d4f321-d748-4a4e-962f-dd5d23de3e43","title":"Principal Engineer Tech Lead, Embodied AI \u0026 Off-Board Performance Evaluation","slug":"principal-engineer-tech-lead-embodied-ai-off-board-performance-evaluation-8c5b455c","description":"Mission Summary: \n Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.\n The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.\n We are seeking a talented Principal Engineer to technically oversee the design, development, and deployment of a novel Embodied AI and Large Language Model (LLM)-based monitoring framework for off-board scenario understanding, intelligence evaluation, and root cause analysis. While this role will pioneer future off-board Vision-Language-Action (VLA) integrations for off-board analysis, it requires strong foundations as an Autonomous Vehicle Performance Metrics developer.\n You will lead the creation of a specialized, off-board evaluation layer that consumes AV drive logs and fleet data to automatically infer scenario safety and assess driving intelligence without running live on the vehicle. Your architectural designs will integrate with internal systems to form a complete pipeline that identifies safety incidents, enriches them with structured context, and conducts detailed root cause analysis to provide the Autonomy team with actionable direction. If you are an innovative individual contributor with a passion for overseeing the integration of complex, scalable data pipelines and state-of-the-art Embodied AI frameworks, we encourage you to apply. \n What You'll Be Doing: \n \n Embodied AI \u0026 LLM Framework Oversight: Technically oversee the architecture to identify, describe, and enrich events in historical vehicle logs using Multimodal LLMs.\n Multi-Modal Data Fusion: Oversee the off-board ingestion and fusion of semantic scene descriptions, ego-centric kinematics, and internal autonomy telemetry to create a holistic diagnostic context for LLM inference.\n Prompt Engineering \u0026 Model Integration: Develop structured prompting templates utilizing Contextual Prompting (CP), Chain-of-Thought (CoT), and In-Context Learning (ICL) to evaluate scenarios.\n AI Inference \u0026 Evaluation Scalability: Architect the integration of foundation models into the Metrics Engine (ME), designing efficient cascade filtering and log slice parallelization strategies to scale high-volume LLM inference across simulation and on-road drive logs while managing computational latency and costs.\n AV Performance Metrics Foundations: Define, design, and implement key metrics to evaluate autonomous vehicle performance, such as lane change capability, oscillations, and braking.\n Driving Policy Integration: Deploy and manage a Retrieval-Augmented Generation (RAG) vector database containing codified AV Driving Policies to ground off-board LLM evaluations in specific Operational Design Domains.\n Cross-Functional Technical Leadership: Serve as a technical escalation point and collaborate with Autonomy (Planner, Prediction, Perception) and Systems teams to deliver high-signal, enriched events.\n Advanced Physical AI R\u0026D: Drive the transition toward Direct Vector-LLM Fusion utilizing emerging Physical AI ecosystems and open-weights Vision-Language-Action (VLA) models to process telemetry off-board without text-translation bottlenecks. \n \n What We're Looking For: \n \n 10+ years of professional experience in software engineering, applied AI/ML, or autonomous vehicle systems development.\n Bachelor's degree in Computer Science, Engineering, Robotics, or a related field.\n Proven experience working with Large Language Models (LLMs) and Vision-Language Models (VLMs) for reasoning, parsing, and scene description.\n Experience with parameter-efficient fine-tuning and deploying open-weights models on internal infrastructure.\n Familiarity with local and cloud vector databases, such as LanceDB, for housing output vector embeddings.\n Experience with adversarial scenario generation and closed-loop simulation environments.\n Strong background leveraging software to develop frameworks, libraries, and tools for calculating and aggregating AV performance metrics.\n Strong analytical and problem-solving skills, particularly in the context of complex system performance evaluation.\n Expert-level proficiency in Python and strong understanding of software development principles. \n \n Bonus Points (not required): \n \n Experience working with autonomous vehicle sensor data, including its processing and in","salary_min":200000,"salary_max":275000,"location":"Pittsburgh, PA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["embeddings","generative-ai","fine-tuning","rag","llm","autonomous-vehicles","cloud","robotics"],"apply_url":"https://motional.com/open-positions/?gh_jid=7799677003#/7799677003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-09T14:10:03Z","expires_at":"2026-08-14T14:07:59.503144Z","created_at":"2026-07-10T14:05:50.334397Z","updated_at":"2026-07-15T14:07:59.735842Z","company_name":"Motional","company_slug":"motional","company_logo_url":"https://www.google.com/s2/favicons?domain=motional.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/bd8a325e-af13-4567-9c46-1409196e7f88"},{"id":"e651da08-bc17-4c8c-b426-19a46cba7f02","company_id":"41d4f321-d748-4a4e-962f-dd5d23de3e43","title":"Principal Engineer Tech Lead, Embodied AI \u0026 Off-Board Performance Evaluation","slug":"principal-engineer-tech-lead-embodied-ai-off-board-performance-evaluation-65385fb7","description":"Mission Summary: \n Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.\n The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.\n We are seeking a talented Principal Engineer to technically oversee the design, development, and deployment of a novel Embodied AI and Large Language Model (LLM)-based monitoring framework for off-board scenario understanding, intelligence evaluation, and root cause analysis. While this role will pioneer future off-board Vision-Language-Action (VLA) integrations for off-board analysis, it requires strong foundations as an Autonomous Vehicle Performance Metrics developer.\n You will lead the creation of a specialized, off-board evaluation layer that consumes AV drive logs and fleet data to automatically infer scenario safety and assess driving intelligence without running live on the vehicle. Your architectural designs will integrate with internal systems to form a complete pipeline that identifies safety incidents, enriches them with structured context, and conducts detailed root cause analysis to provide the Autonomy team with actionable direction. If you are an innovative individual contributor with a passion for overseeing the integration of complex, scalable data pipelines and state-of-the-art Embodied AI frameworks, we encourage you to apply. \n What You'll Be Doing: \n \n Embodied AI \u0026 LLM Framework Oversight: Technically oversee the architecture to identify, describe, and enrich events in historical vehicle logs using Multimodal LLMs.\n Multi-Modal Data Fusion: Oversee the off-board ingestion and fusion of semantic scene descriptions, ego-centric kinematics, and internal autonomy telemetry to create a holistic diagnostic context for LLM inference.\n Prompt Engineering \u0026 Model Integration: Develop structured prompting templates utilizing Contextual Prompting (CP), Chain-of-Thought (CoT), and In-Context Learning (ICL) to evaluate scenarios.\n AI Inference \u0026 Evaluation Scalability: Architect the integration of foundation models into the Metrics Engine (ME), designing efficient cascade filtering and log slice parallelization strategies to scale high-volume LLM inference across simulation and on-road drive logs while managing computational latency and costs.\n AV Performance Metrics Foundations: Define, design, and implement key metrics to evaluate autonomous vehicle performance, such as lane change capability, oscillations, and braking.\n Driving Policy Integration: Deploy and manage a Retrieval-Augmented Generation (RAG) vector database containing codified AV Driving Policies to ground off-board LLM evaluations in specific Operational Design Domains.\n Cross-Functional Technical Leadership: Serve as a technical escalation point and collaborate with Autonomy (Planner, Prediction, Perception) and Systems teams to deliver high-signal, enriched events.\n Advanced Physical AI R\u0026D: Drive the transition toward Direct Vector-LLM Fusion utilizing emerging Physical AI ecosystems and open-weights Vision-Language-Action (VLA) models to process telemetry off-board without text-translation bottlenecks. \n \n What We're Looking For: \n \n 10+ years of professional experience in software engineering, applied AI/ML, or autonomous vehicle systems development.\n Bachelor's degree in Computer Science, Engineering, Robotics, or a related field.\n Proven experience working with Large Language Models (LLMs) and Vision-Language Models (VLMs) for reasoning, parsing, and scene description.\n Experience with parameter-efficient fine-tuning and deploying open-weights models on internal infrastructure.\n Familiarity with local and cloud vector databases, such as LanceDB, for housing output vector embeddings.\n Experience with adversarial scenario generation and closed-loop simulation environments.\n Strong background leveraging software to develop frameworks, libraries, and tools for calculating and aggregating AV performance metrics.\n Strong analytical and problem-solving skills, particularly in the context of complex system performance evaluation.\n Expert-level proficiency in Python and strong understanding of software development principles. \n \n Bonus Points (not required): \n \n Experience working with autonomous vehicle sensor data, including its processing and in","salary_min":200000,"salary_max":275000,"location":"Remote (US)","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["rag","fine-tuning","robotics","generative-ai","data-pipeline","embeddings","llm","cloud"],"apply_url":"https://motional.com/open-positions/?gh_jid=7799653003#/7799653003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-09T14:10:01Z","expires_at":"2026-08-14T14:07:59.77536Z","created_at":"2026-07-10T14:05:50.254594Z","updated_at":"2026-07-15T14:07:59.919958Z","company_name":"Motional","company_slug":"motional","company_logo_url":"https://www.google.com/s2/favicons?domain=motional.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/e651da08-bc17-4c8c-b426-19a46cba7f02"},{"id":"badeb1d6-7048-4b26-8dc7-7015a80bf56b","company_id":"d66267b6-f404-410f-9b8e-fe8bbcfcaf1b","title":"Senior Software Engineer - Python and Data Ecosystem","slug":"senior-software-engineer-python-and-data-ecosystem-9f871560","description":"About ClickHouse\n Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads.\n The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla.\n We’re on a mission to transform how companies use data. Come be a part of our journey!\n The Connectors team is the bridge between ClickHouse and the broader data ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.\n Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.\n About the role\n As a Senior Software Engineer specializing in Python and the Data Ecosystem , you'll be a core contributor owning and evolving critical parts of ClickHouse's data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.\n We're looking for someone who has lived the Data Engineer or Data Scientist experience firsthand. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.\n You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across:\n \n Orchestration Platforms: Apache Airflow, Dagster, Prefect\n Transformation Tools: dbt, SQLMesh\n AI \u0026 LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications\n \n ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.\n What you'll do \n \n Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design\n Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards\n Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications\n Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback\n Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities\n Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows\n \n About you \n \n 7+ years of software development experience, including hands-on time as a Data Engineer, Data Scientist, or ML Engineer\n Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)\n Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production\n Solid experience with the Python data ecosy","salary_min":157000,"salary_max":232000,"location":"United States","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["mlops","embeddings","llm","agents","api-design","healthcare","data-pipeline","rag"],"apply_url":"https://job-boards.greenhouse.io/clickhouse/jobs/6107514004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-09T12:23:47Z","expires_at":"2026-08-14T14:16:34.442006Z","created_at":"2026-07-09T14:14:22.744462Z","updated_at":"2026-07-15T14:16:34.637848Z","company_name":"ClickHouse","company_slug":"clickhouse","company_logo_url":"https://www.google.com/s2/favicons?domain=clickhouse.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/badeb1d6-7048-4b26-8dc7-7015a80bf56b"},{"id":"26a6c1a9-8651-4f0f-9719-559626bfb1ec","company_id":"ec4a8bb4-3840-4054-8ccd-77e81db037af","title":"Data Scientist/Senior Data Scientist","slug":"data-scientistsenior-data-scientist-8e359427","description":"C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI \n As a member of the C3 AI Data Science team , you will work with some of the largest companies on the planet helping them build the next generation of AI-powered enterprise applications on the C3 AI Platform. You will work directly with data scientists, AI engineers, and subject matter experts to design and deploy AI capabilities that give our customers the information they need to make better decisions and accelerate their digital transformation. You will identify the right AI approaches for each problem and implement them on the C3 AI Platform so they run reliably at enterprise scale.\n Qualified candidates will have deep knowledge of modern AI and ML techniques — including large language models, agentic systems, and classical statistical methods — along with a clear understanding of their limitations and how to adapt them to large-scale production environments. Some travel is expected.\n Note: This is a client-facing position which requires travel. Candidates should have the ability and willingness to travel based on business needs. \n Responsibilities: \n \n Lead the research, design, implementation, and deployment of AI models, agentic solutions, and optimization algorithms for enterprise applications on the C3 AI Platform.\n Partner with C3 AI customers to build and scale their own AI applications on the Platform.\n Contribute to the design and implementation of new AI capabilities within the C3 AI Platform.\n Analyze model performance across enterprise deployments, diagnose issues such as poor recall or false positive rates, and recommend targeted improvements.\n Collaborate with data engineers and subject matter experts from C3 AI and customer teams to source, validate, and correctly leverage new data assets.\n \n Qualifications: \n \n MS or PhD in Computer Science, Electrical Engineering, Statistics,   Operations Research, or a related field.\n Hands-on AI experience spanning generative AI, agentic systems, supervised and unsupervised learning, and classical regression and classification.\n Strong mathematical foundation in linear algebra, calculus, probability, and statistics.\n Experience building and deploying models at scale in distributed or cloud-native environments.\n Ability to drive projects independently and collaborate effectively across technical and non-technical teams.\n Sharp, motivated, and focused on making a real impact.\n Excellent verbal and written communication skills.\n \n Preferred Qualifications: \n \n Proficiency in Python; experience with JavaScript, Java, or Scala is a plus.\n Familiarity with LLM frameworks (e.g., LangChain, LlamaIndex), vector databases, or RAG architectures.\n A portfolio of AI projects (GitHub, publications, or open-source contributions) is a plus.\n C3 AI provides excellent benefits, a competitive compensation package and generous equity plan. \n California Base Pay Range\n $136,000 — $183,000 USD \n C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.","salary_min":136000,"salary_max":183000,"location":"Redwood City, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["generative-ai","embeddings","agents","llm","rag","data-science"],"apply_url":"https://c3.ai/job-description/8621803002?gh_jid=8621803002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-06T23:21:46Z","expires_at":"2026-08-14T14:11:53.778371Z","created_at":"2026-07-07T14:11:23.526299Z","updated_at":"2026-07-15T14:11:53.901752Z","company_name":"C3 AI","company_slug":"c3-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=c3.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/26a6c1a9-8651-4f0f-9719-559626bfb1ec"},{"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":"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":"8fbc5e31-95be-46e8-bba3-be032a2b7ee7","company_id":"6734f15a-40ed-4186-ae4a-d774c655ae58","title":"Senior / Staff Machine Learning Engineer, Applied AI","slug":"senior-staff-machine-learning-engineer-applied-ai-35ecb3ac","description":"Your Impact at LILA \n We are growing our Applied AI org and seeking talented Senior/Staff Machine Learning Engineers with expertise in LLM training, evaluation, and production-oriented ML systems. You’ll work on improving Lila’s AI models for customer-specific scientific needs, with a focus on turning frontier model capabilities into reliable workflows that can be evaluated, iterated, and used in real customer contexts. This is a rare chance to join an early team with the autonomy, flexibility, and compute to tackle frontier science problems.\n Applied AI sits at the intersection of AI Research, model engineering, and product deployment. The team partners closely with AI Researchers and Software teams to adapt Lila models to customer workflows, improve model quality through experimentation, and ensure model behavior works well end to end inside the application.\n This role is ideal for someone who can bridge research and engineering: training or adapting models, building evaluation loops, debugging model behavior, and collaborating across AI and Software to move promising capabilities into production-quality systems.\n What You'll Be Building \n \n Close the last-mile gap between Lila AI model capabilities and customer-specific scientific workflows.\n Build evaluation loops that measure model quality, reliability, and customer fit.\n Design experiments to improve model performance across applied customer use cases.\n Feed customer learnings, data signals, and evaluation results back into the Lila AI model improvement cycles.\n Partner with AI researchers to translate model improvements into usable capabilities.\n Work with Software to integrate model behavior into end-to-end product workflows.\n Debug model failures using traces, evaluations, customer context, and scientific feedback.\n Build reusable tooling for model adaptation, evaluation, and deployment workflows.\n \n What You'll Need to Succeed \n \n Strong experience building, training, adapting, or evaluating machine learning models.\n Strong software engineering skills in Python and modern ML frameworks such as PyTorch, JAX, or TensorFlow.\n Experience with distributed ML training frameworks (Megatron-LM, TorchTitan, DeepSpeed, Ray)\n Experience designing experiments, evaluation metrics, or test sets for model performance.\n Ability to debug model behavior using data, traces, logs, and qualitative feedback.\n Experience working across research and engineering teams to move ML capabilities into usable systems.\n Familiarity with large language models, multi-modal models, or agentic AI systems.\n Clear communication skills for translating customer needs into technical model improvements.\n \n Bonus Points For \n \n Experience adapting models for customer-facing or production workflows.\n Experience with scientific, technical, or data-intensive customer use cases.\n Experience building evaluation harnesses, model monitoring, or quality dashboards.\n Familiarity with retrieval-augmented generation, tool use, or agentic workflows.\n Experience with RL post-training, such as RLHF, GRPO, or tool-augmented RL.\n Experience training MoE architectures.\n Experience working with product or customer-facing teams to translate needs into ML improvements.\n Compensation \n We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\n U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\n International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\n Expected Base Salary Range\n $180,000 — $336,000 USD \n About LILA \n Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\n LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\n Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.\n We’re A","salary_min":180000,"salary_max":336000,"location":"Boston, MA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["rag","mlops","agents","tensorflow","llm","reinforcement-learning","pytorch","machine-learning"],"apply_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4302917009","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-01T17:14:20Z","expires_at":"2026-08-14T14:20:42.289821Z","created_at":"2026-07-03T14:17:38.345907Z","updated_at":"2026-07-15T14:20:42.392697Z","company_name":"Lila Sciences","company_slug":"lila-sciences","company_logo_url":"https://www.google.com/s2/favicons?domain=lila.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/8fbc5e31-95be-46e8-bba3-be032a2b7ee7"},{"id":"680e18ad-093d-4ee4-9c8f-0111cb65eab2","company_id":"332b7698-676b-4a3e-8b02-81b1195c5af6","title":"Staff Machine Learning Engineer, CustomerLake (ML/LLM)","slug":"staff-software-engineer-aiml-4e6c9e7f","description":"RDQ427R109 \n  \n At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best Data Intelligence Platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.\n  \n As one of the first engineers in the NYC Engineering office, you'll join a small, nimble team building new products from the ground up. We're building CustomerLake, the Customer Data Platform on Databricks, to bring enterprise-grade ML and AI personalization to every company whose data already lives on Databricks. The best B2C and B2B brands have historically relied on in-house ML/AI teams to power personalization, recommendations, churn and lifetime-value modeling, and audience targeting. Our goal is to deliver that same capability to companies that don't have an in-house team but already have their data in order on Databricks. This is a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks.\n  \n The impact you'll have: \n \n Evaluate ML and LLM approaches for CustomerLake's personalization use cases, push the models and algorithms forward, and continuously improve quality over time\n Go deep on how models behave in production: inspect individual traces, understand how the models reason, and tune and improve from there\n Build the platform and evaluation framework that let CustomerLake customers optimize for real business value such as purchases, retention, and product usage, not vanity metrics like email opens and clicks\n Push the team toward new directions and novel methods worth tackling, not just optimizing what already exists\n Partner closely with product management, engineering, and design to turn ambiguous customer problems into scalable, trustworthy solutions\n Set the technical foundation and best practices for our ML/AI personalization work as we grow this into several roles across our products over the next 1-2 years\n \n  \n What we look for: \n \n 10+ years of engineering experience, with a strong foundation across the full loop of shipping and improving ML/AI products\n Hands-on experience building and evaluating ML models and/or LLM systems for real product or business use cases; your understanding is practical, not purely academic, and you can make models work well inside a product\n Experience with personalization based on customer behavior (ideal) or transactions (acceptable), such as recommendations, targeting, churn, or lifetime-value modeling\n Proficiency in Python and modern ML frameworks (e.g., PyTorch), with hands-on experience in model evaluation and monitoring AI quality in production\n Familiarity with LLMs and generative AI, including techniques like retrieval-augmented generation (RAG), prompt design, fine-tuning, and evaluation\n A demonstrated product mindset, with the ability to translate ambiguous customer problems into scrappy MVPs and iterate quickly based on data and user feedback\n High ownership and bias for action in 0-to-1 environments: comfortable making pragmatic trade-offs, operating with incomplete information, and driving projects from idea through launch and adoption\n \n  \n Nice to have: \n \n Experience in martech, ideally a go-to-market or business use case with an analytical (rather than purely transactional) angle\n An academic or research background that can help us innovate and develop novel methods\n \n  \n  \n Pay Range Transparency \n Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . \n  \n Local Pay Range\n $192,000 — $260,000 USD \n About Databricks \n Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartere","salary_min":192000,"salary_max":260000,"location":"New York, NY","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["llm","data-pipeline","generative-ai","pytorch","rag","fine-tuning","machine-learning"],"apply_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8614863002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-30T23:49:00Z","expires_at":"2026-08-14T14:02:34.92207Z","created_at":"2026-07-01T14:02:14.272034Z","updated_at":"2026-07-15T14:02:35.048318Z","company_name":"Databricks","company_slug":"databricks","company_logo_url":"https://www.google.com/s2/favicons?domain=databricks.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/680e18ad-093d-4ee4-9c8f-0111cb65eab2"},{"id":"23f1e7b5-124b-4bc8-ad73-7804fd45c731","company_id":"a0000000-0000-0000-0000-000000000009","title":"Partner Development Manager - AWS","slug":"partner-development-manager-aws-06f0de2b","description":"Who are we?\n\nCohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.\n\nWe’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.\n\nWe obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.\n\nWe are a global technology company co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris. Join us!\n\nWhy this role?\n\nAdoption of AI is moving rapidly from pilots to production. Enterprises are investing in generative-AI programs, creating a once-in-a-decade market inflection point. At Cohere, we’re committed to transforming the enterprise landscape through strategic partnerships and innovative AI solutions. As a Partner Development Manager for the Enterprise Market, you’ll be at the heart of our mission to empower businesses across the region with cutting-edge AI technologies.\n\nThis role is perfect for someone who thrives in a dynamic, cross-cultural environment and is passionate about driving growth through collaboration. You’ll work closely with leading enterprises, system integrators, and technology partners to co-create value, expand market reach, and deliver impactful AI solutions tailored to the unique needs of businesses.\n\nYour work will directly contribute to our success. You’ll have the opportunity to shape partnerships that drive digital transformation, foster innovation, and position Cohere as a leader in the AI ecosystem.\n\nIf you’re a strategic thinker, a relationship builder, and eager to make a meaningful impact in one of the world’s most dynamic markets, this role is your chance to shape the future of AI.\n\nAs our Partner Development Manager you will own the success of our partner relationships. Key responsibilities include:\n\nPartner Strategy \u0026 Execution\n\n - Owns AWS-sourced and AWS-influenced Cohere pipeline — activating AWS field sales and technical teams to select and deploy Cohere\n\n - Define and execute Cohere’s partner-go-to-market plan for the Enterprise Market, aligning with regional business objectives.\n\n - Partner with the broader GTM team to identify and recruit high-impact partners across system integrators, distributors, resellers, ISVs, and cloud providers.\n\n - Develop relationships with key stakeholders across the partner ecosystem to ensure success of the partnership.\n\nPartner Onboarding \u0026 Enablement\n\n - Lead partner onboarding, certification, and training programs to ensure partners are equipped to sell, deploy and manage Cohere’s solutions effectively.\n\n - Collaborate with enablement to scale partner enablement through sales and technical workshops, empowering them to deliver value to enterprise customers.\n\nPipeline Generation \u0026 Co-Selling\n\n - Own joint pipeline generation by creating co-sell motions, solution plays, and strategic joint go-to market motions that align Cohere’s capabilities with enterprise mission needs and procurement cycles.\n\n - Collaborate with partners to identify and pursue high-value opportunities\n\nBusiness Planning \u0026 Performance Tracking\n\n - Ensure partners are aligned with Cohere’s strategic goals and performance metrics.\n\n - Run joint business planning sessions and quarterly business reviews (QBRs) with partners, tracking sourced and influenced ARR against targets.\n\nPartner Advocacy \u0026 Feedback\n\n - Serve as the voice of the partner within Cohere, relaying feedback to Product, Engineering, and Legal teams\n\n - Work with Cohere's Public Policy teams to navigate government AI policies to advise partners on risk management and responsible AI best practices.\n\nThought Leadership \u0026 Evangelism\n\n - Evangelize Cohere’s vision and solutions at partner and industry events, positioning Cohere as a leader in responsible GenAI for the market.\n\n - Build thought leadership through briefings, speaking engagements, and collaborative initiatives.\n\nWhy You’ll Love This Role\n\nThis is a high-impact role where you’ll shape the future of AI partnerships. You’ll work at the intersection of technology, business, and policy, driving growth while ensuring responsible AI adoption. If you’re passionate about building strategic alliances, driving innovation, and making a difference in one of the world’s most dynamic markets, this is the role for you.\n\nWhat We’re Looking For\n\n - 8+ experience in partner development, channel sales, or alliance management within the tech industry, preferably in AI or cloud solutions, with a track record of enterprise ARR contribution.\n\n - Deep understanding of the en","salary_min":151500,"salary_max":212500,"location":"United States","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"mid","tags":["agents","cloud","rag","alignment","generative-ai","llm"],"apply_url":"https://jobs.ashbyhq.com/cohere/d28fbc03-cb09-49da-84b9-e12c16182695/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-30T21:49:55.706Z","expires_at":"2026-08-14T14:02:01.950743Z","created_at":"2026-07-01T14:01:33.862732Z","updated_at":"2026-07-15T14:02:02.168451Z","company_name":"Cohere","company_slug":"cohere","company_logo_url":"https://www.google.com/s2/favicons?domain=cohere.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/23f1e7b5-124b-4bc8-ad73-7804fd45c731"},{"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 (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["distributed-systems","rag","alignment","agents","security","code-generation","computer-graphics","llm"],"apply_url":"https://job-boards.greenhouse.io/reddit/jobs/8039261","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-30T18:50:45Z","expires_at":"2026-08-14T14:10:37.715387Z","created_at":"2026-07-01T14:08:29.309834Z","updated_at":"2026-07-15T14:10:37.852056Z","company_name":"Reddit","company_slug":"reddit","company_logo_url":"https://www.google.com/s2/favicons?domain=www.reddit.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/d00a3abb-b43e-4277-b618-b45b76c66aba"},{"id":"b1503004-4ee6-4913-b39e-436e1b0b71e3","company_id":"e455f75a-a424-4955-9844-afebe8ea6eb4","title":"Staff Software Engineer, AI-Core (Federal)","slug":"staff-software-engineer-ai-core-federal-d4f97c97","description":"Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.\n Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.\n The AI-Core Team \n The team is building a scalable Agentic AI platform for agents that run real engineering work, agents that write code, triage incidents, investigate alerts, remediate vulnerabilities, upgrade libraries, patch flaky tests, automate runbooks, and other workloads across Okta's infra. Owning this platform means owning the hard cross cutting problems: agent identity, delegated access, secure isolated execution, orchestration, and governance, at the scale and reliability bar that Infra demands. The work is novel and high ownership, and the candidate should be drawn to problems the industry hasn't solved yet.\n What You'll Work On \n \n Design and implement backend APIs and services that make up the agentic platform\n Build the agent identity and machine-to-machine authentication system, including credential management and delegated access flows\n Build the agent knowledge base and memory layer so agents retain context within and across sessions\n Build the observability layer for agents: tracing, cost tracking, audit logs, and dashboards that make agent behavior debuggable in production\n Build the governance and safety layer: policy enforcement on tool calls, content filtering, PII protection, and human-in-the-loop approval flows\n Build the orchestration layer that coordinates multi-step agent workflows with state persistence and error recovery\n Collaborate with Product, SRE, Security, Data Platform, Observability and other domain partners to shape what each layer looks like and how it integrates with the broader Okta platform\n \n  \n You Might Be a Good Fit If You Have \n \n 5+ years of software engineering experience building production backend systems.\n 1+ years of exposure to AI/ML or agentic applications, whether through production work, side projects, or hands-on experimentation.\n Strong proficiency in one or more backend languages (Python, TypeScript/Node.js, Go, or similar)\n Hands-on experience designing and operating distributed systems: APIs, microservices, container orchestration, and serverless technologies\n A security-conscious mindset around credential handling, trust boundaries, and what can go wrong at integration points; familiarity with OAuth, OIDC, or other modern auth patterns.\n Comfort operating in ambiguous, fast-moving environments where the problem definition evolves alongside the solution and the right abstractions are still being invented.\n \n Bonus: Exposure to LLM integration, RAG pipelines, MCP, or agent orchestration frameworks like LangChain, LangGraph, or the Claude/OpenAI SDKs. Bonus: Experience with policy-as-code authorization (Cedar, OPA), agent identity patterns, or building developer-facing APIs and SDKs. \n Why You'll Love It Here \n \n You'll learn fast. The problems this team works on, agentic systems, secure execution at scale, the platform layers that make agents reliable in production, are ones the industry is still figuring out, and you'll be in the room when those answers get written. You'll also have room to shape how you grow, whether that means going deeper on backend systems, leaning into AI/ML, or moving toward technical leadership over time.\n And you'll build things that actually get used. The platform you ship will be the foundation other teams build their agents on, and the work compounds quickly, what you ship this quarter shapes what's possible next quarter. \n \n Required:  \n The employee must be either a U.S. citizen as defined in 42 U.S. Code § 9102; a natural person who is a lawful permanent resident as defined in 8 U.S.C.  1101(a)(20) or who is a protected individual as defined by 8 U.S.C. 1324b(a)(3); or a U.S. national (i.e. includes citizens and non-citizens born in outlying possessions such as American Samoa and Swains Island), green card holders, refugees, and asylees.  Working on a U.S. visa does NOT qualify as a U.S. person. \n #LI-Hybrid\n (P16362_3441309)\n  \n Below is the annual base salary range for candidates locat","salary_min":194000,"salary_max":267000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["distributed-systems","rag","agents","microservices","llm","infrastructure"],"apply_url":"https://www.okta.com/company/careers/opportunity/7917002?gh_jid=7917002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-29T20:50:30Z","expires_at":"2026-08-14T14:11:20.292943Z","created_at":"2026-06-30T14:08:53.470298Z","updated_at":"2026-07-15T14:11:20.432415Z","company_name":"Okta","company_slug":"okta","company_logo_url":"https://www.google.com/s2/favicons?domain=okta.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/b1503004-4ee6-4913-b39e-436e1b0b71e3"},{"id":"5af85b15-4376-400b-a802-2dfc3ba0d49f","company_id":"0fc88a91-688e-421d-917d-4880569dd976","title":"Principal Engineer, Agentic AI Systems","slug":"principal-engineer-agentic-ai-systems-dcc84ac0","description":"About Inflection AI \n Inflection AI is a Public Benefit Corporation empowering people with human-centered, emotionally intelligent AI. We’re shaping the future of AI by combining emotional intelligence (EQ) and raw intelligence (IQ) to elevate people’s potential. Inflection AI created Pi, the world’s first emotionally intelligent AI, to help people work through decisions, emotions, and challenges. Pi is a personal AI agent powered by Inflection AI’s foundation model, proving that AI can be personal, empathetic, and contextually aware.\n About the Role \n We're looking for a hands-on Principal Engineer to lead the architecture and technical direction of Inflection's agentic AI systems. You'll build production AI agents that can reason, retrieve context, use tools, and safely execute complex workflows while driving the design of scalable agent architectures, evaluation frameworks, observability, and reliability systems. Partnering closely with product, design, and engineering, you'll turn ambiguous problems into AI-native experiences, mentor senior engineers, and help establish the technical standards that power the next generation of intelligent agents.\n  \n What You’ll Do \n \n Build production AI agents that can plan, retrieve context, call tools, take actions, and recover from failures.\n Design agent architectures for task decomposition, tool routing, memory, state management, human approval, and safe execution.\n Create evals and observability systems for multi-step task success, tool-call accuracy, hallucination resistance, latency, cost, and failure modes.\n Integrate agents with APIs, databases, SaaS tools, enterprise systems, internal systems, and user-facing workflows.\n Improve reliability through structured outputs, guardrails, fallback paths, monitoring, permissions, auditability, and human-in-the-loop controls.\n Partner with product, design, and engineering teams to turn ambiguous user problems into shipped AI-native features.\n Make pragmatic model and infrastructure choices across proprietary models, open-source models, orchestration frameworks, vector databases, and cloud environments.\n Contribute to technical direction, engineering best practices, and the quality bar for agentic AI systems.\n Own the technical direction of agentic AI systems, provide support and coaching to the team.\n \n What We're Looking For \n \n 10+ years of engineering experience, including 3+ years at staff/principal or equivalent scope, and 2+ years building production-grade agentic or LLM-powered systems used by real customers.\n Strong Python or TypeScript experience.\n Experience building LLM-powered products, AI agents, RAG systems, automation workflows, or model-integrated applications.\n Strong backend engineering fundamentals, including APIs, databases, queues, testing, observability, cloud infrastructure, and deployment.\n Experience with tool/function calling, structured outputs, embeddings, retrieval, prompt design, and model evaluation.\n Strong product judgment and ability to move from ambiguous problem to shipped product quickly.\n Ability to work effectively in a fast-moving environment with ownership, collaboration, and high technical standards.\n Have a bachelor’s degree or equivalent in a related field to the offered position requirements\n \n Nice to Have \n \n Experience with LangGraph, LlamaIndex, OpenAI, Anthropic, Hugging Face, vLLM, or similar tools.\n Experience with agent memory, planning, multi-agent systems, browser automation, workflow automation, or AI copilots.\n Experience building eval pipelines, synthetic test cases, observability, guardrails, or AI safety systems.\n Experience with enterprise SaaS, productivity tools, developer tools, CRM, support, sales, finance, legal, or operations workflows.\n Experience working in early-stage, high-growth, or zero-to-one product environments\n \n Employee Pay Disclosures \n At Inflection AI, we aim to attract and retain the best employees and compensate them in a way that appropriately and fairly values their individual contributions to the company. For this role, Inflection AI estimates a starting annual base salary to fall within the range of $ 400,000.00 to $ 550,000.00 , depending on a candidate’s qualifications and level of experience. This role also includes a meaningful equity component, allowing employees to share in the long-term success of the company. \n Benefits \n Inflection AI values and supports our team’s mental, emotional, financial and physical health. We are focused on building a positive, safe, inclusive and inspiring place to work. Our benefits include: \n \n Robust medical, dental and vision options with employer contributions for HSA, FSA and DFSA\n 401k matching program \n Flexible Time Off, 10 paid holidays, 5 days sick leave\n Parental, Medical and Family care leave \n Generous cell-phone, wellness and office set up stipends \n Support of country-specific visa needs for international employees living in the Bay Area","salary_min":400000,"salary_max":550000,"location":"Palo Alto, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["rag","alignment","generative-ai","code-generation","agents","cloud","embeddings","llm"],"apply_url":"https://boards.greenhouse.io/inflectionai/jobs/4693056006?gh_jid=4693056006","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-29T19:43:43Z","expires_at":"2026-08-14T14:06:37.928565Z","created_at":"2026-06-30T14:04:31.438311Z","updated_at":"2026-07-15T14:06:38.054663Z","company_name":"Inflection AI","company_slug":"inflection-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=inflection.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/5af85b15-4376-400b-a802-2dfc3ba0d49f"},{"id":"29ce8d2b-38d5-4898-afb7-2542116732cd","company_id":"3029e985-56bf-4ac2-9ae1-df4cdd53b12f","title":"Principal AI Security Specialist - West","slug":"principal-ai-security-specialist-west-b5df62c4","description":"About Zscaler \n Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise , we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.\n Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate —we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession , collaboration, ownership, and accountability.\n We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.\n About the Role \n The AI revolution is here, and enterprises are racing to adopt GenAI—but they cannot deploy what they cannot secure. Zscaler is seeking an experienced  Principal AI Security Specialist to bridge the gap between cutting-edge AI innovation and robust enterprise security.\n In this highly strategic, field-facing role, you will combine the elite consultative strengths of a Solutions Engineer with deep expertise in LLMs, RAG architectures, and data protection. As our premier technical authority, you will partner with Fortune 500 executives and architects, serving as a trusted advisor to help them confidently unlock the power of AI without compromising their data or infrastructure. If you are a builder, an educator, and a master storyteller who thrives in a fast-evolving market, this is your chance to lead the industry's most critical conversation.\n What You’ll Do  \n \n Architect the AI Technical Strategy: Partner with enterprise account teams to own and execute the technical sales strategy, driving complex, high-value AI security opportunities from discovery to close.\n Deliver Compelling, High-Impact Demos \u0026 POVs: Configure and present tailored, outcome-driven demonstrations of Zscaler’s AI security platform that resonate with both deep-tech practitioners and C-level executives.  When needed, take customers through successful demos and POVs to validate Zscaler’s ability to securely enable enterprise AI.  \n Serve as a Subject Matter Expert: Act as the field authority on modern AI patterns (such as RAG, agents, and prompt workflows), advising clients on how to prevent sensitive data exposure and unsanctioned AI usage.\n Scale the Field Motion: Collaborate with Product and Engineering to inject real-world customer feedback into the product roadmap, while building reusable demo assets and enablement playbooks to upscale our global sales force.\n Enable Those Around You: Develop reusable demos, technical assets, competitive positioning, and enablement content to help scale Zscaler’s AI field motion while sharing best practices and training with enterprise account teams\n \n Who You Are (Success Profile) \n \n You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.\n You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.\n You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.\n You are customer-obsessed. You build deep empathy for the customer—both internal and external—and anchor your decisions in solving their real-world problems. You champion their needs from start to finish, knowing their success is our success.\n You are driven by innovation. 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As an AI-forward enterprise , we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.\n Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate —we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession , collaboration, ownership, and accountability.\n We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.\n About the Role \n The AI revolution is here, and enterprises are racing to adopt GenAI—but they cannot deploy what they cannot secure. Zscaler is seeking an experienced Principal AI Security Specialist to bridge the gap between cutting-edge AI innovation and robust enterprise security.\n In this highly strategic, field-facing role, you will combine the elite consultative strengths of a Solutions Engineer with deep expertise in LLMs, RAG architectures, and data protection. As our premier technical authority, you will partner with Fortune 500 executives and architects, serving as a trusted advisor to help them confidently unlock the power of AI without compromising their data or infrastructure. If you are a builder, an educator, and a master storyteller who thrives in a fast-evolving market, this is your chance to lead the industry's most critical conversation.\n What You’ll Do  \n \n Architect the AI Technical Strategy: Partner with enterprise account teams to own and execute the technical sales strategy, driving complex, high-value AI security opportunities from discovery to close.\n Deliver Compelling, High-Impact Demos \u0026 POVs: Configure and present tailored, outcome-driven demonstrations of Zscaler’s AI security platform that resonate with both deep-tech practitioners and C-level executives.  When needed, take customers through successful demos and POVs to validate Zscaler’s ability to securely enable enterprise AI.  \n Serve as a Subject Matter Expert: Act as the field authority on modern AI patterns (such as RAG, agents, and prompt workflows), advising clients on how to prevent sensitive data exposure and unsanctioned AI usage.\n Scale the Field Motion: Collaborate with Product and Engineering to inject real-world customer feedback into the product roadmap, while building reusable demo assets and enablement playbooks to upscale our global sales force.\n Enable Those Around You: Develop reusable demos, technical assets, competitive positioning, and enablement content to help scale Zscaler’s AI field motion while sharing best practices and training with enterprise account teams\n \n Who You Are (Success Profile) \n \n You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.\n You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.\n You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.\n You are customer-obsessed. You build deep empathy for the customer—both internal and external—and anchor your decisions in solving their real-world problems. You champion their needs from start to finish, knowing their success is our success.\n You are driven by innovation. You have a deep curiosity for how things work and are energized by solving complex technical challenges. 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To do this, we are building a culture of execution centered on customer obsession , collaboration, ownership, and accountability.\n We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.\n About the Role \n The AI revolution is here, and enterprises are racing to adopt GenAI—but they cannot deploy what they cannot secure. Zscaler is seeking an experienced Principal AI Security Specialist to bridge the gap between cutting-edge AI innovation and robust enterprise security.\n In this highly strategic, field-facing role, you will combine the elite consultative strengths of a Solutions Engineer with deep expertise in LLMs, RAG architectures, and data protection. 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You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.\n You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.\n You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.\n You are customer-obsessed. You build deep empathy for the customer—both internal and external—and anchor your decisions in solving their real-world problems. You champion their needs from start to finish, knowing their success is our success.\n You are driven by innovation. 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