{"has_next":true,"jobs":[{"id":"7944746a-5d41-4ef2-aaa7-2d8843ccd2f5","company_id":"0a7c68cd-f294-457e-939a-62969b72e929","title":"Software Engineer, Backend","slug":"software-engineer-backend-6db9c75f","description":"ABOUT THE ROLE\n\nYou'll build and scale the backend systems that power millions users creating content every day on Gamma. This role is about solving real distributed systems challenges at scale while maintaining the performance and reliability users expect from a modern AI-powered product. You'll work across the full stack, shipping features that directly impact how people create and share their ideas.\n\nWhile this role is backend focused, you'll work across the entire product with our frontend, product, and design teams. Our full TypeScript stack is built on modern technologies including React, Node.js, PostgreSQL, Redis, and cutting-edge AI models.\n\nOur team has a strong in-office culture and works in person 4–5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most.\n\n\n\n\nWHAT YOU'LL DO\n\n - Scale backend systems to hundreds of millions of users while maintaining high performance and availability\n\n - Build and optimize APIs that power real-time collaborative editing and AI content generation\n\n - Design and implement distributed systems that handle massive scale with reliability\n\n - Ship features across the full stack, working closely with frontend engineers to deliver polished experiences\n\n - Architect solutions for complex technical challenges in areas like data consistency, caching, and query optimization\n\n - Collaborate with product and design to turn ideas into production-ready features\n\n\n\n\nWHAT YOU'LL BRING\n\n - 3+ years building production backend systems with strong fundamentals in distributed systems, databases, and API design\n\n - Deep proficiency in TypeScript/Node.js or similar backend languages, with eagerness to work in our TypeScript stack\n\n - Experience scaling systems to handle millions of users and high throughput workloads\n\n - Strong understanding of PostgreSQL, Redis, or similar database technologies\n\n - Passion for building APIs, scaling complex systems, and creating excellent web applications\n\n - Curiosity and attitude that matches your technical knowledge\n\n - Prior experience working with websockets, streaming, or scaling inference workloads (Nice to have)\n\n\n\n\nCOMPENSATION RANGE:\n\nThe base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $180K - $310K plus benefits \u0026 equity.\n\n\n\nFinal offer amounts are determined by multiple factors, including but not limited to experience and expertise in the requirements listed above.\n\n\n\nIf you're interested in this role but you don't meet every requirement, we encourage you to apply anyway! We're always excited about meeting great people.","salary_min":180000,"salary_max":310000,"location":"San Francisco, CA","workplace":"hybrid","job_type":"full-time","experience_level":"senior","tags":["generative-ai","api-design","distributed-systems","backend"],"apply_url":"https://jobs.ashbyhq.com/gamma/a546c0a8-4c8b-471c-909c-9c7b34d1f64d/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-21T23:19:52.231Z","expires_at":"2026-06-29T14:07:43.2592Z","created_at":"2026-05-27T14:07:56.804097Z","updated_at":"2026-05-30T14:07:43.375021Z","company_name":"Gamma","company_slug":"gamma","company_logo_url":"https://www.google.com/s2/favicons?domain=gamma.app\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/7944746a-5d41-4ef2-aaa7-2d8843ccd2f5"},{"id":"e4d74511-aa09-4fba-b84d-d7a12a03faf5","company_id":"a25140f5-772d-4c47-947d-7c655ed80737","title":"Software Engineer - Backend Services","slug":"software-engineer-backend-services-d11bb694","description":"Software Engineer - Backend Services \n Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values .   \n This position is based out of our headquarters in the Greater Seattle area. #LI-hybrid   \n Who We Need   \n Truveta is building a diverse and inclusive team to tackle complex health and technical challenges. We are seeking enthusiastic new graduates who are problem-solvers, collaborative teammates, and eager to make a difference in healthcare. If you’re excited about purposeful work, joining a mission-driven team, and launching your career in a supportive environment, Truveta could be the perfect place to start.   \n This Opportunity   \n Patients, doctors, and medical researchers deserve technology that is reliable, secure, and capable of turning health data into meaningful insight. As part of the Intelligence Platform and Applications team, you’ll use your expertise in backend engineering, distributed systems, cloud-native infrastructure, and production operations to build the robust service layer that intelligent healthcare applications depend on. \n  \n This is an opportunity to contribute to meaningful backend services and features end to end: from service design and API development to deployment, debugging, observability, reliability, and security. You’ll work across platform, application, data, and AI-enabled workflows, helping ensure that services are well-architected, operationally sound, and built for long-term maintainability. \n  \n If you’re motivated by purpose and enjoy building durable backend systems that support learning, decision-making, and discovery in healthcare, you’ll find this an inspiring place to grow. You’ll work in an ambitious, fast-paced, collaborative environment where every contribution helps make healthcare more connected, intelligent, and impactful. \n We are seeking engineers who:   \n \n \n Design and build production-grade backend services: Experienced in service architecture, API design, async-first Python development, testing, packaging, debugging, and operating backend systems in production. \n Contribute to backend features and services end to end: Capable of taking well-scoped services and features from design through implementation, deployment, monitoring, and ongoing maintenance. \n \n  \n Engineer for scale, resilience, and maintainability: Grounded in modular architecture, separation of concerns, code quality, observability, performance, and pragmatic design trade-offs. \n \n  \n Bring strong Python backend craftsmanship: Experienced with async programming, modern Python service patterns, well-tested code, and tools such as  uv , ruff , and ty to deliver reliable, maintainable systems. \n \n  \n Support AI-enabled workflows through strong backend foundations: Experienced integrating, or contributing to integrations with, LLM APIs such as OpenAI, Azure OpenAI, or equivalent into backend services, with attention to reliability, security, latency, error handling, and maintainability. \n \n Understand modern AI service integration patterns: Practical exposure to agentic AI frameworks or interoperability protocols such as LangGraph, LangChain, MCP, or A2A, and an understanding of how these patterns support tool orchestration, service integration, and AI workflow design. \n \n  \n Improve deployment and operational reliability: Able to contribute to CI/CD configuration, deployment stage setup, pipeline hardening, environment debugging, rollback strategy, and production readiness. \n \n  \n Build reliable cloud-native systems: Hands-on with Docker, devcontainers, Kubernetes, CI/CD pipelines, infrastructure-as-code patterns, AKS, Terraform/Terragrunt, and deployment automation. \n \n  \n Build secure services by default: Experienced with dependency health, Snyk/CVE triage, library upgrades, token hygiene, OWASP-aligned practices, secrets handling, and security patching within SLA. \n \n  \n Manage artifacts and dependencies responsibly: Experienced with or exposed to artifact registry workflows such as JFrog, Docker/PyPI proxying, GPU artifact mirroring, package provenance, or similar dependency management practices. \n \n  \n Collaborate across boundaries: Partner effectively with platform, ML, application, data, and product engineers to transform concepts into scalable, reliable backend solutions. \n \n Demonstrate strong engineering ownership: Own meaningful features or service components, contribute to technical design, raise code quality, support peers, and make pragmatic trade-offs that balance speed, quality, security, and reliability. \n \n  \n Act with purpose: Ap","salary_min":110000,"salary_max":145000,"location":"Seattle, WA","workplace":"hybrid","job_type":"full-time","experience_level":"mid","tags":["distributed-systems","cloud","api-design","llm","agents","healthcare","backend"],"apply_url":"https://job-boards.greenhouse.io/truveta/jobs/6002807004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-21T17:14:16Z","expires_at":"2026-06-29T14:14:41.899585Z","created_at":"2026-05-27T14:15:20.672768Z","updated_at":"2026-05-30T14:14:42.016448Z","company_name":"Truveta","company_slug":"truveta","company_logo_url":"https://www.google.com/s2/favicons?domain=truveta.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/e4d74511-aa09-4fba-b84d-d7a12a03faf5"},{"id":"83f69d07-2aa7-46f3-843d-9097be56e6fb","company_id":"a355eb2f-63c3-4c0a-803d-bc2d8312b6d8","title":"Staff / Senior Staff Backend Engineer, B2B Flywheel","slug":"staff-senior-staff-backend-engineer-b2b-flywheel-8d46a9fb","description":"ABOUT THE TEAM\n\nB2B Flywheel is a small, high-leverage team working at the intersection of data science, research, and engineering within OpenAI’s B2B organization. The team is focused on building the systems that help OpenAI better understand how businesses and developers use our models, where they encounter friction, and how those signals can improve our products, models, and customer experiences over time.\n\nWe operate in highly constrained production environments, including privacy safeguards, low-latency services, and high-traffic API systems. Our work spans real-time backend engineering, data infrastructure, research engineering, and applied data science. The team is small and highly execution-oriented, with broad ownership across the systems that capture, process, and translate critical product and usage signals into better B2B experiences.\n\nAbout the Role\n\nWe’re looking for backend software engineers to help build the data and systems infrastructure behind OpenAI’s B2B flywheel. This role is ideal for someone who enjoys working across backend systems, data pipelines, and applied ML/DS-adjacent problems — especially in ambiguous, fast-moving environments where the path is not always predefined.\n\nYou’ll help design and build real-time engineering systems that operate across high-scale API and B2B surfaces, while partnering closely with data science, research, product, and engineering teams. Strong candidates will bring deep backend engineering ability, comfort with data-heavy systems, and the versatility to work across multiple technical domains.\n\nIn this role, you will:\n\n - Design, build, and operate backend systems that capture and process critical product, usage, and customer signals across B2B and API surfaces\n\n - Build reliable data pipelines and infrastructure that help translate raw signals into actionable insights, model evaluations, training datasets, and product improvements\n\n - Work on high-traffic, low-latency services in constrained environments, including systems with strict privacy and data-handling requirements\n\n - Collaborate closely with data science, research, product, and infrastructure partners to identify user pain points, measure system behavior, and improve product quality\n\n - Help develop the system needed to support model and product feedback loops, including signal capture, evaluation datasets, classifiers, and analytical tooling\n\n - Operate with high ownership in a small team where priorities may shift quickly and the work spans multiple engineering domains\n\nYour background might look something like:\n\n - 7+ years of professional backend engineering experience, ideally in high-scale, product-driven, or infrastructure-heavy environments\n\n - Strong backend engineering fundamentals, including distributed systems, API services, data modeling, reliability, performance, and production operations\n\n - Experience building or maintaining data pipelines, event systems, logging/telemetry infrastructure, or large-scale data processing systems\n\n - Comfort working near data science, statistics, ML, or research engineering workflows; direct experience is strongly preferred, but not required\n\n - Ability to operate effectively in ambiguous environments where problems are loosely defined and ownership boundaries are broad\n\n - High agency, strong execution velocity, and a willingness to wear multiple hats across backend engineering, data infrastructure, and applied research-adjacent work\n\n - Experience in fast-paced startups, early teams, or similarly high-ownership environments is a plus\n\n - Interest in AI systems, enterprise products, and building the infrastructure that helps improve products and models through real-world usage signals\n\nTitle note: At OpenAI, research and engineering hires share the internal title Member of Technical Staff. We use Staff / Senior Staff externally to signal the depth of experience, ownership, and technical leadership expected for this role.\n\nCompensation Range: $293K - $385K USD\n\n\n\nAbout OpenAI\n\nOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. \n\nWe are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.\n\nFor additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf.\n\nBackground checks for app","salary_min":293000,"salary_max":385000,"location":"San Francisco, CA","workplace":"remote","job_type":"full-time","experience_level":"lead","tags":["search","data-pipeline","distributed-systems","backend"],"apply_url":"https://jobs.ashbyhq.com/openai/e9fa3446-0b1e-48c0-a567-ef85f1621b76/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-14T18:06:09.11Z","expires_at":"2026-06-29T14:00:59.051789Z","created_at":"2026-05-16T14:01:09.345811Z","updated_at":"2026-05-30T14:00:59.163698Z","company_name":"OpenAI","company_slug":"openai","company_logo_url":"https://www.google.com/s2/favicons?domain=openai.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/83f69d07-2aa7-46f3-843d-9097be56e6fb"},{"id":"f58d444a-0791-45f9-bdde-13acbe5efa8d","company_id":"a25140f5-772d-4c47-947d-7c655ed80737","title":"Senior Software Engineer - Backend Services","slug":"senior-software-engineer-ai-platform-197051c3","description":"Senior Software Engineer - Backend Services  \n Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values . \n This position is based out of our headquarters in the Greater Seattle area.  #LI-hybrid \n Who We Need   \n Join Truveta’s Intelligence Platform and Applications team to build the backend services, platform foundations, and production systems that power the next generation of healthcare intelligence. Guided by Truveta’s mission of Saving Lives with Data, you’ll help engineer reliable, scalable, and secure services that transform complex health data into actionable intelligence for clinicians, researchers, and healthcare organizations. \n We are seeking a Senior Software Engineer with deep backend service engineering experience, strong production ownership, and cloud-native platform discipline. You’ll design, build, deploy, and operate services that are reliable, observable, maintainable, and secure at scale. Your work will support AI-enabled healthcare workflows, but the emphasis is on building backend systems, service architecture, APIs, infrastructure integrations, and operational foundations that make those workflows dependable in production. \n You’ll help shape the core service and platform capabilities that make healthcare intelligence systems scalable, resilient, and trustworthy, driving real-world progress across research, care delivery, operations, and patient outcomes. \n \n This Opportunity   \n Patients, doctors, and medical researchers deserve technology that is reliable, secure, and capable of turning health data into meaningful insight. As part of the Intelligence Platform and Applications team, you’ll use your expertise in backend engineering, distributed systems, cloud-native infrastructure, and production operations to build the robust service layer that intelligent healthcare applications depend on. \n This is an opportunity to own backend systems end to end: from service design and API development to deployment, debugging, observability, reliability, and security. You’ll work across platform, application, data, and AI-enabled workflows, ensuring that services are well-architected, operationally sound, and built for long-term maintainability. \n \n If you’re motivated by purpose and enjoy building durable backend systems that support learning, decision-making, and discovery in healthcare, you’ll find this an inspiring place to grow. You’ll work in an ambitious, fast-paced, collaborative environment where every contribution helps make healthcare more connected, intelligent, and impactful. \n \n  \n We are seeking backend engineers who: \n \n \n \n Design and build production-grade backend services: Experienced in service architecture, API design, async-first Python development, testing, packaging, debugging, and operating backend systems in production. \n \n \n \n Own services end to end: Capable of taking services and features from design through implementation, deployment, monitoring, incident response, and ongoing maintenance. \n \n \n \n \n Engineer for scale, resilience, and maintainability: Grounded in modular architecture, separation of concerns, code quality, observability, performance, and pragmatic design trade-offs. \n \n \n \n Bring strong Python backend craftsmanship: Experienced with async programming, modern Python service patterns, well-tested code, and tools such as uv , ruff , and ty to deliver reliable, maintainable systems. \n \n \n \n \n Support AI-enabled workflows through strong backend foundations: Experienced integrating LLM APIs such as OpenAI, Azure OpenAI, or equivalent into backend services, with attention to reliability, security, latency, error handling, and maintainability. \n \n \n \n Understand modern AI service integration patterns: Practical exposure to agentic AI frameworks or interoperability protocols such as LangGraph, LangChain, MCP, or A2A, and an understanding of how these patterns support tool orchestration, service integration, and AI workflow design. \n \n \n \n \n Improve deployment and operational reliability: Able to contribute to CI/CD template maintenance, deployment stage configuration, pipeline hardening, environment debugging, rollback strategy, and production readiness. \n \n \n \n Build reliable cloud-native systems: Hands-on with Docker, devcontainers, Kubernetes, CI/CD pipelines, infrastructure-as-code patterns, AKS, Terraform/Terragrunt, and deployment automation. \n \n \n \n \n \n Build secure services by default: Experienced with dependency health, Snyk/CVE triage, library upgrades, token hygiene, OWASP-aligned practices, secrets handling, an","salary_min":155000,"salary_max":190000,"location":"Seattle, WA","workplace":"hybrid","job_type":"full-time","experience_level":"senior","tags":["llm","distributed-systems","cloud","healthcare","agents","api-design","backend"],"apply_url":"https://job-boards.greenhouse.io/truveta/jobs/5995853004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-13T22:02:16Z","expires_at":"2026-06-29T14:14:41.576994Z","created_at":"2026-05-14T14:15:54.709473Z","updated_at":"2026-05-30T14:14:41.694826Z","company_name":"Truveta","company_slug":"truveta","company_logo_url":"https://www.google.com/s2/favicons?domain=truveta.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/f58d444a-0791-45f9-bdde-13acbe5efa8d"},{"id":"a626c864-c36b-4f4c-82e5-3f3273966df1","company_id":"0fc88a91-688e-421d-917d-4880569dd976","title":"Senior Backend Engineer, Agentic","slug":"senior-backend-engineer-agentic-49afa0ff","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 As a Senior Backend Engineer at Inflection, you will own the platforms, systems, and services that bring our conversational AI to life at scale. You’ll collaborate across research, product, and infrastructure teams to enable rapid iteration, high reliability, and secure delivery of novel AI features to millions of users. Your work will directly impact both the pace of product development and the stability of our production systems. \n What you’ll do \n \n Design and build backend systems that power agentic workflows in production: orchestration, memory, retrieval, and tool integrations.\n Operate high-availability inference and conversation pipelines, optimizing for latency, cost, and quality.\n Build internal platform pieces service templates, CI/CD, observability, evaluation harnesses, and rollout tooling that compound engineering velocity.\n Partner with applied researchers and frontend engineers to design and iterate on user-facing features\n  Drive features from prototype to production with measurable user impact, ensuring reliability and performance at scale\n \n Must-haves \n \n 10-15 years of backend engineering experience shipping production systems in cloud environments.\n Demonstrated experience building, shipping, and operating agentic AI systems in production environments with real user impact not just prototypes.\n Strong production experience with Python, Postgres, Redis, and at least one major cloud (AWS, GCP, or Azure), including containers and Kubernetes.\n Practical experience with LLM application patterns: RAG, tool use, evaluation loops, and the latency/cost/quality tradeoffs that come with them.\n Strong sense of ownership, with the ability to independently drive systems to production and operate them reliably\n \n Nice-to-haves \n \n Experience with agent orchestration frameworks (LangGraph, LlamaIndex, OpenAI/Anthropic Agent SDKs, or equivalent in-house systems) and evaluation tooling (LangSmith, Braintrust, or similar).\n Background in streaming, queueing, or vector data infrastructure at scale.\n Past on-call ownership of customer-facing services with strict SLOs.\n Contributions to open-source agent or LLM tooling.\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 $350,000 to $500,000 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 and physical health. We are focused on building a positive, safe, inclusive and inspiring place to work. Our benefits include: \n \n Diverse medical, dental and vision options \n 401k matching program \n Unlimited paid time off \n Parental leave and flexibility for all parents and caregivers\n Support of country-specific visa needs for international employees living in the Bay Area","salary_min":350000,"salary_max":500000,"location":"Palo Alto, CA","workplace":"onsite","job_type":"full-time","experience_level":"senior","tags":["agents","llm","generative-ai","backend"],"apply_url":"https://boards.greenhouse.io/inflectionai/jobs/4681064006?gh_jid=4681064006","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-12T19:22:02Z","expires_at":"2026-06-29T14:04:38.282064Z","created_at":"2026-05-14T14:05:28.096519Z","updated_at":"2026-05-30T14:04:38.394836Z","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/a626c864-c36b-4f4c-82e5-3f3273966df1"},{"id":"b1fa54ec-cc02-48ef-b8f0-8fc926e7eca8","company_id":"d3f1a010-47af-48d2-8b4e-a5953078daac","title":"Staff Software Engineer, Backend","slug":"staff-software-engineer-backend-d83ee10d","description":"WHY HARVEY\n\nAt Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.\n\nThis is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.\n\nOur team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.\n\nAt Harvey, the future of professional services is being written today — and we’re just getting started.\n\n\n\n\nROLE OVERVIEW\n\nAs a Backend Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects across our various product lines. You will work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers. We are looking for individuals who have worked across the stack on incredible products across consumer, enterprise, and various industries and who are excited about building the future of application layer and genAI products.\n\n\n\nWe use an in-person work model and offer relocation assistance to new employees.\n\n\n\n\n\n\n\nWHAT YOU'LL DO\n\n - Retrieval over peta-byte scale documents\n\n - Organizational-level interfaces to collaborate with AI\n\n - Managing dedicated GPU capacity across 5+ regions\n\n - 1000-step planning agents that help take companies public\n\n - Government-level security for the world's most sensitive matters\n\n - Evaluating LLMs across a 10k+ leaf taxonomy of tasks\n\n - Internet-scale data collection from over 50+ jurisdictions\n\n\n\n\n\n\n\nWHAT YOU HAVE\n\n - 10+ years (post-BS/MS) of backend-focused software engineering experience on product-centric teams\n\n - Track record of building fast-growing SaaS products by leveraging PWA technologies\n\n - Track record of shipping highly intuitive products, strong attention to detail\n\n - Experience building backend platforms that can support multiple product lines\n\n - Strong programming skills and general Computer Science knowledge\n\n - Grit - experience working at early-stage startups is a plus\n\n\n\n\n\n\n\nCOMPENSATION\n\n\n\n$231,000 - $340,000 USD\n\n\n\n\nDEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].\n\n\n\n#LI-SA1\n\n\n\nHarvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.\n\nWe are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai","salary_min":231000,"salary_max":340000,"location":"San Francisco, CA","workplace":"remote","job_type":"full-time","experience_level":"lead","tags":["agents","generative-ai","llm","backend"],"apply_url":"https://jobs.ashbyhq.com/harvey/9b7ae8f4-773e-4f83-83fa-096d157ae00d/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-05T16:43:54.462Z","expires_at":"2026-06-29T14:02:04.883907Z","created_at":"2026-05-06T14:02:29.072191Z","updated_at":"2026-05-30T14:02:04.989855Z","company_name":"Harvey AI","company_slug":"harvey-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=harvey.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/b1fa54ec-cc02-48ef-b8f0-8fc926e7eca8"},{"id":"e012fd1f-b8b8-4bb9-8bf9-bd520f14314f","company_id":"d3f1a010-47af-48d2-8b4e-a5953078daac","title":"Staff Software Engineer, Backend","slug":"staff-software-engineer-backend-224eeea5","description":"WHY HARVEY\n\nAt Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.\n\nThis is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.\n\nOur team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.\n\nAt Harvey, the future of professional services is being written today — and we’re just getting started.\n\n\n\n\nROLE OVERVIEW\n\nAs a Backend Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects across our various product lines. You will work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers. We are looking for individuals who have worked across the stack on incredible products across consumer, enterprise, and various industries and who are excited about building the future of application layer and genAI products.\n\n\n\nWe use an in-person work model and offer relocation assistance to new employees.\n\n\n\n\n\n\n\nWHAT YOU'LL DO\n\n - Retrieval over peta-byte scale documents\n\n - Organizational-level interfaces to collaborate with AI\n\n - Managing dedicated GPU capacity across 5+ regions\n\n - 1000-step planning agents that help take companies public\n\n - Government-level security for the world's most sensitive matters\n\n - Evaluating LLMs across a 10k+ leaf taxonomy of tasks\n\n - Internet-scale data collection from over 50+ jurisdictions\n\n\n\n\n\n\n\nWHAT YOU HAVE\n\n - 10+ years (post-BS/MS) of backend-focused software engineering experience on product-centric teams\n\n - Track record of building fast-growing SaaS products by leveraging PWA technologies\n\n - Track record of shipping highly intuitive products, strong attention to detail\n\n - Experience building backend platforms that can support multiple product lines\n\n - Strong programming skills and general Computer Science knowledge\n\n - Grit - experience working at early-stage startups is a plus\n\n\n\n\n\n\n\nCOMPENSATION\n\n\n\n$231,000 - $340,000 USD\n\n\n\n\nDEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].\n\n\n\n#LI-SA1\n\n\n\nHarvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.\n\nWe are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai","salary_min":231000,"salary_max":340000,"location":"New York, NY","workplace":"remote","job_type":"full-time","experience_level":"lead","tags":["agents","generative-ai","llm","backend"],"apply_url":"https://jobs.ashbyhq.com/harvey/f546dd67-a842-41d5-8992-83f80e051632/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-05T16:43:46.145Z","expires_at":"2026-06-29T14:02:04.803955Z","created_at":"2026-05-06T14:02:28.977294Z","updated_at":"2026-05-30T14:02:04.914988Z","company_name":"Harvey AI","company_slug":"harvey-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=harvey.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/e012fd1f-b8b8-4bb9-8bf9-bd520f14314f"},{"id":"9805a3dc-9198-4e0f-ba59-063dd3a88875","company_id":"d3f1a010-47af-48d2-8b4e-a5953078daac","title":"Senior Software Engineer, Backend","slug":"senior-software-engineer-backend-18bc9da5","description":"WHY HARVEY\n\nAt Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.\n\nThis is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.\n\nOur team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.\n\nAt Harvey, the future of professional services is being written today — and we’re just getting started.\n\n\n\n\nROLE OVERVIEW\n\nAs a Backend Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects across our various product lines. You will work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers. We are looking for individuals who have worked across the stack on incredible products across consumer, enterprise, and various industries and who are excited about building the future of application layer and genAI products.\n\n\n\nWe use an in-person work model and offer relocation assistance to new employees.\n\n\n\n\n\n\n\nWHAT YOU'LL DO\n\n - Retrieval over peta-byte scale documents\n\n - Organizational-level interfaces to collaborate with AI\n\n - Managing dedicated GPU capacity across 5+ regions\n\n - 1000-step planning agents that help take companies public\n\n - Government-level security for the world's most sensitive matters\n\n - Evaluating LLMs across a 10k+ leaf taxonomy of tasks\n\n - Internet-scale data collection from over 50+ jurisdictions\n\n\n\n\n\n\n\nWHAT YOU HAVE\n\n - 5+ years (post-BS/MS) of backend-focused software engineering experience on product-centric teams\n\n - Track record of building fast-growing SaaS products by leveraging PWA technologies\n\n - Track record of shipping highly intuitive products, strong attention to detail\n\n - Experience building backend platforms that can support multiple product lines\n\n - Strong programming skills and general Computer Science knowledge\n\n - Grit - experience working at early-stage startups is a plus\n\n\n\n\n\n\n\nCOMPENSATION\n\n\n\n$193,400 - $290,000 USD\n\n\n\n\nDEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].\n\n\n\n#LI-SA1\n\n\n\nHarvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.\n\nWe are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai","salary_min":193400,"salary_max":290000,"location":"New York, NY","workplace":"remote","job_type":"full-time","experience_level":"senior","tags":["generative-ai","llm","agents","backend"],"apply_url":"https://jobs.ashbyhq.com/harvey/0e59374f-f9b0-49d3-89b2-5b15961d87a2/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-01T19:19:16.661Z","expires_at":"2026-06-29T14:02:07.31718Z","created_at":"2026-05-06T14:02:27.809436Z","updated_at":"2026-05-30T14:02:07.426915Z","company_name":"Harvey AI","company_slug":"harvey-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=harvey.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/9805a3dc-9198-4e0f-ba59-063dd3a88875"},{"id":"f2d10ec4-b927-4c03-a1c6-636b7c05f4e6","company_id":"d3f1a010-47af-48d2-8b4e-a5953078daac","title":"Senior Software Engineer, Backend","slug":"senior-software-engineer-backend-0c70d2ca","description":"WHY HARVEY\n\nAt Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.\n\nThis is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.\n\nOur team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.\n\nAt Harvey, the future of professional services is being written today — and we’re just getting started.\n\n\n\n\nROLE OVERVIEW\n\nAs a Backend Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects across our various product lines. You will work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers. We are looking for individuals who have worked across the stack on incredible products across consumer, enterprise, and various industries and who are excited about building the future of application layer and genAI products.\n\n\n\nWe use an in-person work model and offer relocation assistance to new employees.\n\n\n\n\n\n\n\nWHAT YOU'LL DO\n\n - Retrieval over peta-byte scale documents\n\n - Organizational-level interfaces to collaborate with AI\n\n - Managing dedicated GPU capacity across 5+ regions\n\n - 1000-step planning agents that help take companies public\n\n - Government-level security for the world's most sensitive matters\n\n - Evaluating LLMs across a 10k+ leaf taxonomy of tasks\n\n - Internet-scale data collection from over 50+ jurisdictions\n\n\n\n\n\n\n\nWHAT YOU HAVE\n\n - 5+ years (post-BS/MS) of backend-focused software engineering experience on product-centric teams\n\n - Track record of building fast-growing SaaS products by leveraging PWA technologies\n\n - Track record of shipping highly intuitive products, strong attention to detail\n\n - Experience building backend platforms that can support multiple product lines\n\n - Strong programming skills and general Computer Science knowledge\n\n - Grit - experience working at early-stage startups is a plus\n\n\n\n\n\n\n\nCOMPENSATION\n\n\n\n$193,400 - $290,000 USD\n\n\n\n\nDEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].\n\n\n\n#LI-SA1\n\n\n\nHarvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.\n\nWe are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai","salary_min":193400,"salary_max":290000,"location":"San Francisco, CA","workplace":"remote","job_type":"full-time","experience_level":"senior","tags":["llm","agents","generative-ai","backend"],"apply_url":"https://jobs.ashbyhq.com/harvey/1406ae6f-1dfc-4b5a-985d-cccbffe283e1/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-01T19:19:06.032Z","expires_at":"2026-06-29T14:02:07.233427Z","created_at":"2026-05-06T14:02:27.717522Z","updated_at":"2026-05-30T14:02:07.348435Z","company_name":"Harvey AI","company_slug":"harvey-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=harvey.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/f2d10ec4-b927-4c03-a1c6-636b7c05f4e6"},{"id":"3511bb05-c8a5-4f8b-bb7b-a2be8c8798ae","company_id":"f5ee7284-a657-4da2-b351-cb806a3681cd","title":"Backend Engineer - API","slug":"backend-engineer-api-345a12bd","description":"ABOUT xAI \n xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. \n ABOUT THE ROLE: \n As an ideal candidate you have a good understanding of how highly scalable and reliable production infrastructure is built. Most of our backend infrastructure is written in Rust. So familiarity with a compiled language such as C++, Rust, or Go is highly beneficial.\n RESPONSIBILITIES: \n \n Build the xAI API that serves our models to developers worldwide\n Own the end-to-end system responsible for high-throughput inference, handling billions of tokens per minute with low latency and high availability, including model serving infrastructure, request routing, SDK development, rate limiting, observability, and efficient scaling\n \n BASIC QUALIFICATIONS: \n \n Expert knowledge of either Rust or C++\n Experience in designing, implementing, and maintaining reliable and horizontally scalable distributed systems\n Knowledge of service observability and reliability best practices\n Experience in operating commonly used databases such as PostgreSQL, Clickhouse, and MongoDB\n \n PREFERRED SKILLS AND EXPERIENCE: \n \n Experience with LLM inference engines and serving frameworks (e.g., SGLang, TensorRT, vLLM)\n Experience designing or building with agent SDKs and agent orchestration frameworks\n Experience with Docker, Kubernetes, and containerized applications\n Expert knowledge of gRPC (unary, response streaming, bi-directional streaming, REST mapping)\n \n COMPENSATION AND BENEFITS \n $180,000 - $440,000 USD \n Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short \u0026 long-term disability insurance, life insurance, and various other discounts and perks. \n xAI is an equal opportunity employer. For details on data processing, view our  Recruitment Privacy Notice .","salary_min":180000,"salary_max":440000,"location":"Palo Alto, CA","workplace":"onsite","job_type":"full-time","experience_level":"lead","tags":["mlops","api-design","distributed-systems","llm","agents","backend"],"apply_url":"https://job-boards.greenhouse.io/xai/jobs/5119111007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-04-23T17:37:01Z","expires_at":"2026-06-29T14:02:55.244691Z","created_at":"2026-04-30T05:47:45.606132Z","updated_at":"2026-05-30T14:02:55.351173Z","company_name":"xAI","company_slug":"xai","company_logo_url":"https://www.google.com/s2/favicons?domain=x.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/3511bb05-c8a5-4f8b-bb7b-a2be8c8798ae"},{"id":"c5eb27df-36af-4978-86ff-8c5b3e9d6d13","company_id":"a0000000-0000-0000-0000-000000000001","title":"Staff+ Software Engineer, Backend","slug":"staff-software-engineer-backend-8a2b9e78","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the Role: \n Anthropic is looking for experienced, product-minded engineers to own the backend systems that power user experiences across our API, Claude Code, and Claude.ai. You'll independently scope complex, multi-month projects through ambiguous problem spaces and lead peers through technical and product decisions; you'll drive alignment with product, peer engineering teams, and research to identify capability gaps and translate frontier model improvements into shipped products. You'll make architectural decisions that affect the reliability and scalability of systems serving hundreds of thousands of global users (including internal teams), and design processes that help your team operate effectively and never fail the same way twice - all while staying hands-on with the code and our models.\n We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential: \n API Core : You'll build and scale the foundation of the Claude API—the systems that deliver Claude's intelligence to every developer, from startups to enterprise. You'll own the performance, reliability, and efficiency of our core serving path, ensuring users get the most speed and value from our models. You'll partner closely with inference and safeguards to optimize the full stack.\n API Capabilities: You'll bring frontier model capabilities to developers through the Claude API, owning core features like vision, tool use, and computer use. You'll launch new models and ship the primitives that make Claude more capable with every release. You'll partner directly with research and inference to productionize what's next.\n API Knowledge: You'll focus on transforming Claude into a true knowledge worker by ensuring the model has access to and understanding of the right knowledge at the right time. You'll work on making it possible for developers to securely give Claude access to their data while automatically processing and retrieving relevant information. You'll partner directly with research to bring state-of-the-art retrieval advancements to developers.\n Developer Experience: You’ll focus on building products and tools to enable developers to harness the full power of LLMs to create successful, reliable, and groundbreaking applications with ease. You’ll build the tools to accelerate developers from idea to deployment. You'll help figure out how to leverage Claude to improve developer's usage of the API, such as generating and evaluating prompts while collaborating closely with the teams above to bring Claude's current and future capabilities to developers.\n API Agents:  You'll focus on building the infrastructure and APIs that enable developers to create powerful agentic applications within the Claude API. You'll help developers with agent orchestration through capabilities like tool use, multi-step reasoning, and long-running task execution that allow Claude to take actions and accomplish complex goals on behalf of users. You'll partner with research to bring cutting-edge agent capabilities to production.\n Enterprise Foundations: We're looking for a software engineer to join our Enterprise Foundations team—the team that makes Claude enterprise-ready at scale. When a Fortune 500 company wants to roll out Claude to 100,000 employees, we're the team that makes it possible.You'll build the foundational systems that large organizations require before they can deploy AI at scale: user and permissions management, security and compliance features, and analytics infrastructure. This work directly converts product-market fit into revenue by removing the deployment blockers that prevent large organizations from adopting Claude broadly. Passport: We're building the identity and verification product layer that enables safe model launches as Claude's capabilities expand. This critical effort partners with Safeguards, Auth \u0026 Identity, Policy, and Product teams across API, Claude.ai , and third-party platforms as customers, creating the systems for KYC/KYB, trust grant issuance and inheritance, and end-user verification that flow across every Anthropic surface. We sit at the intersection of trust, compliance, and product velocity, delivering the verification primitives that let Anthropic ship advanced model capabilities to the right users at massive scale.\n \n \n \n \n \n \n \n \n \n \n \n Marketplace: builds the platform that connects Claude-powered enterpris","salary_min":405000,"salary_max":485000,"location":"San Francisco, CA","workplace":"onsite","job_type":"full-time","experience_level":"lead","tags":["agents","llm","api-design","cloud","distributed-systems","backend"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5174755008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-04-08T18:57:22Z","expires_at":"2026-06-29T14:00:26.742819Z","created_at":"2026-04-13T09:36:06.42406Z","updated_at":"2026-05-30T14:00:26.852292Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/c5eb27df-36af-4978-86ff-8c5b3e9d6d13"},{"id":"d5b96344-b339-46d6-a6ef-10f512c383d1","company_id":"6ea0f41a-b13e-481a-b410-5195f391f939","title":"Staff Backend Engineer - Commerce","slug":"staff-backend-engineer-commerce-53483c7a","description":"About the Role \n Together AI is seeking a Staff Backend Engineer to own the technical vision, architecture, and execution of the commerce platform powering Together's Cloud products. As a staff engineer on the Commerce Engineering team, you will set the engineering direction for mission-critical capabilities — including usage-based billing, payment processing, customer-facing analytics, and product entitlements — while raising the bar for the engineers around you.\n This role is ideal for a seasoned engineer who can operate at multiple altitudes: driving system design and long-term architecture decisions while staying hands-on in code. You'll be the connective tissue between engineering, product, finance, and go-to-market — translating complex business requirements into durable, scalable backend primitives that directly impact revenue and customer experience. You'll be expected to define not just what we build, but how we build it well.\n Requirements \n \n 8+ years of experience building large-scale, fault-tolerant API-driven services and backend systems\n Demonstrated track record of tech lead or staff-level scope — owning system architecture decisions, influencing team direction, and delivering multi-quarter initiatives\n Deep expertise in designing relational database schemas and backend APIs that support complex product and business requirements at scale\n Strong experience leading and influencing cross-functional teams — comfortable partnering with product, finance, and non-technical stakeholders\n Expert-level proficiency in one or more of Golang, TypeScript, Python, C++, or Java\n Deep knowledge of distributed systems tradeoffs: consistency, availability, fault tolerance, and performance at scale\n Strong understanding of low-level systems concepts: multi-threading, memory management, networking, storage, and I/O\n Experience with infrastructure as code (Terraform, AWS CDK, Pulumi) and mature CI/CD workflows\n Experience with payment processors (e.g. Stripe) and billing systems strongly preferred\n Experience with Kubernetes and containerized deployments a plus\n Bachelor's or Master's degree in Computer Science, Computer Engineering, or equivalent practical experience\n \n Responsibilities \n \n Define and own the technical roadmap for Together's monetization and billing pipeline infrastructure, spanning usage metering, contract billing, entitlements, spend governance, and payments processing\n Lead architecture reviews for major systems investments, ensuring long-term scalability, correctness, and maintainability across the commerce stack\n Drive cross-functional alignment with Product, Finance, and Go-To-Market teams — translating business strategy into clear engineering requirements and system designs\n Mentor and grow engineers on the team through design feedback, code reviews, technical coaching, and setting high standards for craft\n Own data modeling and schema design for core commerce entities, making principled tradeoffs between flexibility, performance, and correctness\n Establish and evolve API contracts in collaboration with client engineering teams, enabling high-quality customer-facing product experiences\n Champion reliability and scalability — lead incident response, drive postmortems, and systematically improve the resilience of commerce APIs and distributed systems\n Identify and reduce technical debt proactively, balancing pragmatic delivery with sustainable engineering practices\n \n About Together AI \n Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.\n Compensation \n We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $230,000 - $270,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\n Equal Opportunity \n Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\n Please see our privacy policy at https://www.together.ai/privacy","salary_min":230000,"salary_max":270000,"location":"San Francisco, CA","workplace":"onsite","job_type":"full-time","experience_level":"lead","tags":["cloud","payments","distributed-systems","backend"],"apply_url":"https://job-boards.greenhouse.io/togetherai/jobs/5102399007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-04-08T15:44:51Z","expires_at":"2026-06-29T14:01:50.003186Z","created_at":"2026-04-13T09:37:38.71765Z","updated_at":"2026-05-30T14:01:50.120211Z","company_name":"Together AI","company_slug":"together-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=together.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/d5b96344-b339-46d6-a6ef-10f512c383d1"},{"id":"d672d36a-60a9-4c87-b2c1-f3f991d17001","company_id":"332b7698-676b-4a3e-8b02-81b1195c5af6","title":"Staff Backend Software Engineer- (AI Platform)","slug":"staff-backend-software-engineer-ai-platform-74fd247c","description":"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 and AI infrastructure platform so our customers can use deep data insights to improve their business. \n  \n Foundation Model Serving is the API Product for hosting and serving frontier AI model inference for open source models like Llama, Qwen, and GPT OSS as well as proprietary models like Claude and OpenAI GPT. For this role, no prior ML or AI experience is necessary. We’re looking for engineers who have owned high scale operational sensitive systems like customer facing APIs, Edge Gateways, ML Inference, or similar services and have an interest in getting deep building LLM APIs and runtimes at scale.\n  \n As a Staff Engineer, you’ll play a critical role in shaping both the product experience and core infrastructure. You will design and build systems that enable high-throughput, low-latency inference on GPU workloads with frontier models, influence architectural direction, and collaborate closely across platform, product, infrastructure, and research teams to deliver a world-class foundation model API product.\n  \n The impact you will have:\n  \n \n Design and implement core systems and APIs that power Databricks Foundation Model Serving, ensuring scalability, reliability, and operational excellence.\n Partner with product and engineering leadership to define the technical roadmap and long-term architecture for serving workloads.\n Drive architectural decisions and trade-offs to optimize performance, throughput, autoscaling, and operational efficiency for GPU serving workloads.\n Contribute directly to key components across the serving infrastructure — from working in systems like vLLM and SGLang to creating token based rate limiters and optimizers — ensuring smooth and efficient operations at scale.\n Collaborate cross-functionally with product, platform, and research teams to translate customer needs into reliable and performant systems.\n Establish best practices for code quality, testing, and operational readiness, and mentor other engineers through design reviews and technical guidance.\n Represent the team in cross-organizational technical discussions and influence Databricks’ broader AI platform strategy.\n \n  \n What we look for:\n  \n \n 10+ years of experience building and operating large-scale distributed systems.\n Experience leading high-scale operationally sensitive backend systems.\n A track record of up-leveling teams engineering excellence.\n Strong foundation in algorithms, data structures, and system design as applied to large-scale, low-latency serving systems.\n Proven ability to deliver technically complex, high-impact initiatives that create measurable customer or business value.\n Strong communication skills and ability to collaborate across teams in fast-moving environments.\n Strategic and product-oriented mindset with the ability to align technical execution with long-term vision.\n Passion for mentoring, growing engineers, and fostering technical excellence.\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 headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on  Twitter ,  LinkedIn   and   Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . \n Our Commitment to Diversity and Inclusion \n At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring prac","salary_min":192000,"salary_max":260000,"location":"San Francisco, CA","workplace":"onsite","job_type":"full-time","experience_level":"lead","tags":["distributed-systems","mlops","llm","data-pipeline","generative-ai","backend"],"apply_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8367023002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-03-31T04:29:30Z","expires_at":"2026-06-29T14:02:00.493721Z","created_at":"2026-04-13T09:37:48.709915Z","updated_at":"2026-05-30T14:02:00.604913Z","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/d672d36a-60a9-4c87-b2c1-f3f991d17001"},{"id":"e8eea609-71d6-4f9c-8e86-9c8feeb5d4b6","company_id":"332b7698-676b-4a3e-8b02-81b1195c5af6","title":"Staff Backend Software Engineer- (AI Platform)","slug":"staff-backend-software-engineer-ai-platform-eddd7ae7","description":"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 and AI infrastructure platform so our customers can use deep data insights to improve their business. \n  \n Databricks’ Model Serving product provides enterprises with a unified, scalable, and governed platform to deploy and manage AI/ML models — from traditional ML to fine-tuned and proprietary large language models. It offers real-time, low-latency inference, governance, monitoring, and lineage. As AI adoption accelerates, Model Serving is a core pillar of the Databricks platform, enabling customers to operationalize models at scale with strong SLAs and cost efficiency.\n  \n As a Senior Engineer, you’ll play a critical role in shaping both the product experience and the foundational infrastructure of Model Serving. You will design and build systems that enable high-throughput, low-latency inference across CPU and GPU workloads, influence architectural direction, and collaborate closely across platform, product, infrastructure, and research teams to deliver a world-class serving platform.\n  \n The impact you will have: \n \n Design and implement core systems and APIs that power Databricks Model Serving, ensuring scalability, reliability, and operational excellence.\n Drive architectural decisions and trade-offs to optimize performance, throughput, autoscaling, and operational efficiency for CPU and GPU serving workloads.\n Contribute directly to key components across the serving infrastructure — from model container builds and deployment workflows to runtime systems like routing, caching, observability, and intelligent autoscaling — ensuring smooth and efficient operations at scale.\n Collaborate cross-functionally with product, platform, and research teams to translate customer needs into reliable and performant systems.\n Lead technical initiatives that improve latency, availability, and cost-effectiveness across both customer-facing and foundational serving layers.\n Establish best practices for code quality, testing, and operational readiness, and mentor other engineers through design reviews and technical guidance.\n \n  \n What we look for: \n \n 5+ years of experience building and operating large-scale distributed systems.\n Experience in model serving, inference systems, or related infrastructure (e.g., routing, scheduling, autoscaling, and observability).\n Strong foundation in algorithms, data structures, and system design as applied to large-scale, low-latency serving systems.\n Proven ability to deliver technically complex, high-impact initiatives that create measurable customer or business value.\n Experience building architecture for large-scale, performance-sensitive CPU/GPU inference systems.\n Strong communication skills and ability to collaborate across teams in fast-moving environments.\n Customer-focused mindset with the ability to align implementation details with product goals.\n Passion for mentoring, growing engineers, and fostering technical excellence.\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 $166,000 — $225,000 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 headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on  Twitter ,  LinkedIn   and   Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . \n Our Commitment to Diversity and Inclusion \n At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are","salary_min":166000,"salary_max":225000,"location":"San Francisco, CA","workplace":"onsite","job_type":"full-time","experience_level":"lead","tags":["llm","mlops","data-pipeline","distributed-systems","backend"],"apply_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8367022002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-03-31T04:29:29Z","expires_at":"2026-06-29T14:02:00.410651Z","created_at":"2026-04-13T09:37:48.859839Z","updated_at":"2026-05-30T14:02:00.525723Z","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/e8eea609-71d6-4f9c-8e86-9c8feeb5d4b6"},{"id":"fcabf4df-6652-41b8-8eeb-fe8e1555dd64","company_id":"332b7698-676b-4a3e-8b02-81b1195c5af6","title":"Staff Backend Software Engineer- (AI Platform)","slug":"staff-backend-software-engineer-ai-platform-36f9311d","description":"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 and AI infrastructure platform so our customers can use deep data insights to improve their business. \n Databricks’ Model Serving product provides enterprises with a unified, scalable, and governed platform to deploy and manage AI/ML models — from traditional ML to fine-tuned and proprietary large language models. It offers real-time, low-latency inference, governance, monitoring, and lineage. As AI adoption accelerates, Model Serving is a core pillar of the Databricks platform, enabling customers to operationalize models at scale with strong SLAs and cost efficiency.\n As a Staff Engineer, you’ll play a critical role in shaping both the product experience and the foundational infrastructure of Model Serving. You will design and build systems that enable high-throughput, low-latency inference across CPU and GPU workloads, influence architectural direction, and collaborate closely across platform, product, infrastructure, and research teams to deliver a world-class serving platform.\n The impact you will have: \n \n Design and implement core systems and APIs that power Databricks Model Serving, ensuring scalability, reliability, and operational excellence.\n Partner with product and engineering leadership to define the technical roadmap and long-term architecture for serving workloads.\n Drive architectural decisions and trade-offs to optimize performance, throughput, autoscaling, and operational efficiency for CPU and GPU serving workloads.\n Contribute directly to key components across the serving infrastructure — from model container builds and deployment workflows to runtime systems like routing, caching, observability, and intelligent autoscaling — ensuring smooth and efficient operations at scale.\n Collaborate cross-functionally with product, platform, and research teams to translate customer needs into reliable and performant systems.\n Lead technical initiatives that improve latency, availability, and cost-effectiveness across both customer-facing and foundational serving layers.\n Establish best practices for code quality, testing, and operational readiness, and mentor other engineers through design reviews and technical guidance.\n Represent the team in cross-organizational technical discussions and influence Databricks’ broader AI platform strategy.\n \n What we look for: \n \n 10+ years of experience building and operating large-scale distributed systems.\n Deep expertise in model serving, inference systems, and related infrastructure (e.g., routing, scheduling, autoscaling, and observability).\n Strong foundation in algorithms, data structures, and system design as applied to large-scale, low-latency serving systems.\n Proven ability to deliver technically complex, high-impact initiatives that create measurable customer or business value.\n Experience leading architecture for large-scale, performance-sensitive CPU/GPU inference systems.\n Strong communication skills and ability to collaborate across teams in fast-moving environments.\n Strategic and product-oriented mindset with the ability to align technical execution with long-term vision.\n Passion for mentoring, growing engineers, and fostering technical excellence.\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 headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on  Twitter ,  LinkedIn   and   Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on","salary_min":192000,"salary_max":260000,"location":"San Francisco, CA","workplace":"onsite","job_type":"full-time","experience_level":"lead","tags":["llm","mlops","distributed-systems","data-pipeline","backend"],"apply_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8367021002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-03-31T04:29:27Z","expires_at":"2026-06-29T14:02:00.572544Z","created_at":"2026-04-13T09:37:48.932496Z","updated_at":"2026-05-30T14:02:00.682217Z","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/fcabf4df-6652-41b8-8eeb-fe8e1555dd64"},{"id":"b3bbe4db-2c74-4639-a018-af7fab13bf09","company_id":"332b7698-676b-4a3e-8b02-81b1195c5af6","title":"Staff Backend Software Engineer- (AI Platform)","slug":"staff-backend-software-engineer-ai-platform-ee405067","description":"P-1428\n At Databricks, we are passionate about enabling data and AI 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 and AI infrastructure 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 solve 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 As part of the AI Platform team, you’ll build the substrate that powers everything from data apps, AI agents, model training, model serving, and vector search.  You’ll be joining a high-agency, high-visibility team operating at the frontier of AI infrastructure — with deep ties to research, product, and real-world enterprise use cases.  Databricks Mosaic AI is one of our fastest-growing businesses helping thousands of our customers democratize AI within their organizations. We’re building the infrastructure that powers the next generation of AI. \n We’re hiring across multiple teams in our AI Engineering org including:  \n The impact you will have: \n \n Build infrastructure that powers our flagship offerings like  MLflow, AI Gateway, Databricks Apps, Agent Framework, Agent Bricks, and Foundation Model APIs, to state a few.\n Improve reliability, latency, and efficiency of distributed AI workloads\n Collaborate with platform, infra, and ML teams to deliver seamless end-to-end experiences\n Shape how developers and data scientists build and interact with AI on Databricks\n \n What we look for: \n \n 5+ years of experience in backend or infrastructure engineering\n Strong programming skills in Scala, Go, or Python \n Experience with distributed systems, scalable APIs, or cloud-native infrastructure\n Familiarity with service-oriented architecture, deployment pipelines, and system observability\n Strong product and ownership mindset — you care about building the right solution, not just any solution\n \n Bonus points for: \n \n Experience with real-time serving, ML infrastructure, or GPU orchestration\n Exposure to platforms like SageMaker, Vertex AI, or Azure ML\n Contributions to OSS projects like MLflow, PyTorch, or Ray\n Built developer platforms or internal tools supporting AI workflows\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 $166,000 — $225,000 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 headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on  Twitter ,  LinkedIn   and   Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . \n Our Commitment to Diversity and Inclusion \n At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\n Compliance \n If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alo","salary_min":166000,"salary_max":225000,"location":"San Francisco, CA","workplace":"onsite","job_type":"full-time","experience_level":"lead","tags":["mlops","data-pipeline","pytorch","distributed-systems","agents","generative-ai","cloud","backend"],"apply_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8367019002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-03-31T04:29:24Z","expires_at":"2026-06-29T14:02:00.651156Z","created_at":"2026-04-13T09:37:48.787822Z","updated_at":"2026-05-30T14:02:00.762485Z","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/b3bbe4db-2c74-4639-a018-af7fab13bf09"},{"id":"94e8f848-e014-4741-b2d3-d256f9bda8c0","company_id":"332b7698-676b-4a3e-8b02-81b1195c5af6","title":"Staff Backend Software Engineer","slug":"staff-backend-software-engineer-33cfc140","description":"P-1428\n At Databricks, we are passionate about enabling data and AI 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 and AI infrastructure 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 solve 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 As part of the AI Platform team, you’ll build the substrate that powers everything from data apps, AI agents, model training, model serving, and Vector Search.  You’ll be joining a high-agency, high-visibility team operating at the frontier of AI infrastructure — with deep ties to research, product, and real-world enterprise use cases.  Databricks Mosaic AI is one of our fastest-growing businesses, helping thousands of our customers democratize AI within their organizations. We’re building the infrastructure that powers the next generation of AI. \n We’re hiring across multiple teams in our AI Engineering org, including:  \n The impact you will have: \n \n Build LLM infrastructure powering trillions of tokens per week for customers through partner models (OpenAI, Anthropic, Gemini) and self hosted models (Qwen, GPT-OSS, Llama)\n Improve reliability, latency, and efficiency of distributed AI workloads\n Collaborate with platform, infra, and ML teams to deliver seamless end-to-end experiences\n Shape how developers and data scientists build and interact with AI on Databricks\n \n What we look for: \n \n 8+ years of experience in backend or infrastructure engineering\n Strong programming skills in Scala, Go, or Python \n Experience with distributed systems, scalable APIs, or cloud-native infrastructure\n Familiarity with service-oriented architecture, deployment pipelines, and system observability\n Strong product and ownership mindset — you care about building the right solution, not just any solution\n \n Bonus points for: \n \n Experience with real-time serving, ML infrastructure, or GPU orchestration\n Exposure to platforms like SageMaker, Vertex AI, or Azure ML\n Contributions to OSS projects like MLflow, PyTorch, Ray, vLLM, SGLang\n Built developer platforms or internal tools supporting AI workflows\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 $190,000 — $261,250 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 headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on  Twitter ,  LinkedIn   and   Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . \n Our Commitment to Diversity and Inclusion \n At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\n Compliance \n If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on t","salary_min":190000,"salary_max":261250,"location":"New York, NY","workplace":"onsite","job_type":"full-time","experience_level":"lead","tags":["cloud","mlops","data-pipeline","llm","distributed-systems","agents","pytorch","backend"],"apply_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8468436002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-03-18T17:27:10Z","expires_at":"2026-06-29T14:02:00.332862Z","created_at":"2026-04-13T09:37:48.625265Z","updated_at":"2026-05-30T14:02:00.443474Z","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/94e8f848-e014-4741-b2d3-d256f9bda8c0"},{"id":"0b28b28d-6d2d-4012-a4b1-b9a7cd783c99","company_id":"6ea0f41a-b13e-481a-b410-5195f391f939","title":"Backend Software Engineer — Data Platform \u0026 AI Data Products","slug":"backend-software-engineer-data-platform-ai-data-products-64d1f173","description":"About the Role \n You’ll join the Data Platform team, responsible for building the backend services and “data products” that power how data moves through the company. We create the core platform primitives — high-quality event streams, reliable access layers, and developer-friendly APIs/tools — so teams across the org can self-serve what they need and ship faster. You’ll contribute to backend services that create value from our company data, and help make our data platform more self-serve so product and engineering teams can easily create and operate event-driven architectures, publish/consume streams, define access models, and ship data products end-to-end. You’ll also work on LLM-adjacent services such as prompt categorization/taxonomy, enrichment, and metadata systems that turn raw telemetry into trusted, usable products — with mentorship and support from experienced engineers.\n Responsibilities \n \n Contribute to backend services that enhance the data platform’s capabilities (APIs, control planes, automation, governance).\n Help enable DIY workflows for teams across the company:\n \n \n \n \n Define/publish events and schemas\n Create/consume streams and subscriptions\n Establish access models (authz, row/field-level controls where applicable)\n Manage dataset/catalog metadata, lineage, versioning, and retention\n \n \n \n Contribute to end-to-end data products: ingestion → validation/quality → enrichment → serving (APIs/streams) → observability → adoption.\n Work on prompt categorization and enrichment services: taxonomy design, labeling workflows, classifier/rules integration, evaluation, drift/quality monitoring, and safe rollouts.\n Learn to own reliability: SLOs, alerting, performance/cost tuning, incident response, and postmortems.\n Partner cross-functionally with ML/LLM, infra, security, and product teams to define crisp contracts and deliver durable platform primitives.\n \n Requirements \n \n 0–4 years building production or project-based backend systems (internships, coursework, and personal projects count).\n Solid fundamentals in at least one backend language (e.g., Go, Python, Java, Rust) and some exposure to API design (REST).\n Eagerness to own work end-to-end: design docs, implementation, testing, deployment, and iteration based on real usage.\n Strong engineering fundamentals: clean, maintainable code, thoughtful abstractions, and a desire to build systems that are easy to evolve.\n Basic data modeling and SQL skills, and some familiarity with at least one of:\n \n \n \n \n Streaming/eventing (Kafka/PubSub/Kinesis, etc.)\n Workflow/compute (Airflow/Spark/Flink/Trino, etc.)\n OLTP/OLAP stores and data lakes (Postgres + warehouse/lake tech)\n \n \n \n AI augmentation curiosity:\n \n \n \n \n You’re curious about how engineers use AI/LLMs to build software faster and better (e.g., coding copilots, agentic workflows, retrieval/knowledge grounding), and you’re eager to apply this to your own work.\n You understand that AI tools can fail or create issues, and you’re thoughtful about when and how to apply them.\n \n \n Nice to have \n \n Any exposure to self-serve platforms, developer tooling, or multi-tenant services.\n Coursework or projects involving LLM/AI products: prompt/response telemetry, eval datasets, embeddings/RAG metadata, model/tool traces, privacy-safe logging.\n Passion for good quality code, highly readable, SOLID principles, design patterns, Domain Driven Design.\n Awareness of security and governance basics: least-privilege access, auditability, data retention, PII handling.\n \n About Together AI \n Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.\n Compensation \n We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $120,000 - $170,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\n Equal Opportunity \n Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\n Please see our privacy policy at  https://www.together.ai/privacy","salary_min":120000,"salary_max":170000,"location":"San Francisco, CA","workplace":"onsite","job_type":"full-time","experience_level":"mid","tags":["code-generation","data-pipeline","agents","llm","api-design","backend"],"apply_url":"https://job-boards.greenhouse.io/togetherai/jobs/5064263007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-03-11T20:53:55Z","expires_at":"2026-06-29T14:01:48.338122Z","created_at":"2026-04-13T09:37:36.896341Z","updated_at":"2026-05-30T14:01:48.448051Z","company_name":"Together AI","company_slug":"together-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=together.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/0b28b28d-6d2d-4012-a4b1-b9a7cd783c99"},{"id":"b236c6ee-ae7b-4c7f-8494-7046591833cd","company_id":"ff51c80a-dce9-4cb4-b2e6-9c060d25ef55","title":"Software Engineer - Backend","slug":"software-engineer-backend-9d32ab38","description":"About Applied Intuition\n Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co .\n We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. \n About the role\n \n As a Backend Software Engineer on the Remote Assistance team, you will be responsible for designing, building, and maintaining the core services and infrastructure that power our remote assistance platform. Your work will involve creating the APIs, data pipelines, and backend systems that handle real-time data streaming, command processing, and communication with both the autonomous vehicles and the human operator workstations. This is a high-impact role where you will be instrumental in making autonomous trucking a reality by ensuring a reliable and scalable backend.\n At Applied Intuition, you will:\n \n Design, develop, and deploy scalable, low-latency backend services for remote assist session management  and real-time data streaming.\n Architect and implement the cloud infrastructure for remote assistance including technologies like protobuf, gRPC across  multiple AWS regions.\n Design and implement the service data persistence layer using no sql databases like Redis\n Implement data pipelines to ingest, process, and store real-time data from autonomous vehicles.\n Collaborate closely with onboard software teams and front-end engineers to ensure seamless end-to-end data flow.\n Ensure the security, reliability, and resilience of the backend platform, including handling network disruptions and failover.\n Optimize data serialization and transmission to minimize latency and bandwidth usage on the server side.\n \n We're looking for someone who has:\n \n Bachelor's degree in Computer Science or a related field.\n 3+ years of professional experience in web services software development and cloud infrastructure.\n Strong proficiency in a backend programming language such as Go and Python.\n Experience with distributed systems, microservices, and building scalable backend applications.\n Experience with cloud platforms ( AWS, GCP or OCI) and containerization (Docker, Kubernetes).\n Hands-on experience with NoSQL databases (e.g., Redis).\n \n Nice to have:\n \n Experience leading projects end to end. \n Experience in a startup or fast-paced environment.\n \n Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.\n Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials \u0026 certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.\n Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $153,000 - $222,000 USD annually.\n Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. \n Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requ","salary_min":153000,"salary_max":222000,"location":"Sunnyvale, CA","workplace":"onsite","job_type":"full-time","experience_level":"mid","tags":["cloud","distributed-systems","autonomous-vehicles","microservices","api-design","data-pipeline","backend"],"apply_url":"https://boards.greenhouse.io/appliedintuition/jobs/4669710005?gh_jid=4669710005","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-03-05T00:28:11Z","expires_at":"2026-06-29T14:03:39.754942Z","created_at":"2026-04-13T09:39:23.476598Z","updated_at":"2026-05-30T14:03:39.869342Z","company_name":"Applied Intuition","company_slug":"applied-intuition","company_logo_url":"https://www.google.com/s2/favicons?domain=appliedintuition.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/b236c6ee-ae7b-4c7f-8494-7046591833cd"},{"id":"bd3d0c17-fdd0-4575-8f4c-525ca9a19637","company_id":"7551b4ca-b2b0-493a-ab58-a15bd9c50393","title":"Senior Software Engineer, Backend (AI Agent)","slug":"senior-software-engineer-backend-ai-agent-db78fa33","description":"Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day. \n Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. Cresta’s leadership includes some of the leading minds in AI today. Our CEO, Ping Wu , founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences.\n Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta.\n About the role:\n As a Senior Software Engineer, your goal will be to ensure that our AI Agents are backed by the most reliable and scalable server solutions. This includes designing and maintaining the server architecture that handles real-world, high-volume interactions and ensures high availability and performance. While we’re focused on server optimization and data management rather than pure research, you’ll be working with some of the most advanced technologies in the cloud and server space.\n This is a unique opportunity to shape the future of AI at Cresta by solving complex problems and bringing breakthrough AI advancements into production environments.\n Responsibilities :\n \n Design, develop, and maintain scalable and robust backend architectures for Cresta’s AI Agent solutions and proprietary models.\n Collaborate with cross-functional teams including frontend engineers, machine learning engineers to ensure seamless integration of AI Agents into Cresta’s customer solutions.\n Lead initiatives to enhance system scalability and reliability in production environments, focusing on backend services that support AI functionalities.\n Drive efforts to optimize server response times, process large volumes of data efficiently, and maintain high system availability.\n Innovate and implement security measures, cost-reduction strategies, and performance improvements in backend systems supporting AI Agents.\n \n Qualifications We Value: \n \n Bachelor’s degree in Computer Science or a related field.\n 5+ years of experience in backend system architecture, cloud services, or related technology fields.\n Proficient in designing and maintaining clear and robust APIs with a strong understanding of protocols including gRPC, REST.\n Previous experience working with Virtual Agent or AI Agent systems.\n Experience in high-performance database schema design and query optimization, including knowledge of SQL and NoSQL databases.\n Experience in containerized application deployment using Kubernetes and Docker in microservices architectures.\n Experience with cloud environments such as AWS, Azure, or Google Cloud, with a strong understanding of cloud security and compliance standards.\n \n Perks \u0026 Benefits: \n We offer a comprehensive and people-first benefits package to support you at work and in life:\n \n Comprehensive medical, dental, and vision coverage with plans to fit you and your family\n Flexible PTO to take the time you need, when you need it\n Paid parental leave for all new parents welcoming a new child\n Retirement savings plan to help you plan for the future\n Remote work setup budget to help you create a productive home office\n Monthly wellness and communication stipend to keep you connected and balanced\n In-office meal program and commuter benefits provided for onsite employees\n \n Compensation at Cresta:  \n Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table.\n The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family.\n Salary Range : $205,000–$270,000 + Offers Equity\n We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.  If you are uncertain whether you have been contacted by an official Cresta employee, reach out to  recruiting@cresta.ai","salary_min":205000,"salary_max":270000,"location":"United States","workplace":"remote","job_type":"full-time","experience_level":"senior","tags":["agents","api-design","microservices","backend"],"apply_url":"https://job-boards.greenhouse.io/cresta/jobs/5133464008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-03-02T00:41:26Z","expires_at":"2026-06-29T14:04:05.071369Z","created_at":"2026-04-13T09:39:52.167188Z","updated_at":"2026-05-30T14:04:05.185583Z","company_name":"Cresta","company_slug":"cresta","company_logo_url":"https://www.google.com/s2/favicons?domain=cresta.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/bd3d0c17-fdd0-4575-8f4c-525ca9a19637"}],"page":1,"per_page":20,"total":245,"total_pages":13}