{"access":{"advertiser_pricing_url":"https://aidevboard.com/pricing","catalog_url":"https://aidevboard.com/api/v1/catalog","description":"Public read endpoints are open and free. API keys are optional for stable agent identity and keyed hourly throttling.","docs_url":"https://aidevboard.com/docs","mode":"open","register_url":"https://aidevboard.com/api/v1/register"},"degraded":false,"estimated":false,"has_next":true,"jobs":[{"id":"e02f64f7-97ca-4df9-8c15-82b1bb16fb2f","company_id":"52f44519-9f93-4eac-ae0b-8be13e385ebe","title":"Backend Infrastructure Engineer","slug":"backend-infrastructure-engineer-03331b6c","description":"BACKEND INFRASTRUCTURE ENGINEER\n\n\n\nYou'll work on the infrastructure that makes Firecrawl fast and reliable against a web that constantly changes and fights back. This is deep systems work: keeping success rates high against sites with aggressive defenses, managing the proxy layer that powers reliable data collection at scale, and pushing throughput and reliability under heavy, spiky load. When Firecrawl \"just works\" on a site that tries hard to stop it, that's this team. You'll own real infrastructure from day one, not tickets in a backlog.\n\n\n\nSalary Range: $200,000–$250,000/year (Range shown is for U.S.-based employees in San Francisco, CA. Compensation outside the U.S. is adjusted fairly based on your country's cost of living.)\n\nEquity Range: Competitive equity — details shared during the process.\n\nLocation: San Francisco, CA (Hybrid, on-site required)\n\nJob Type: Full-Time\n\nExperience: 3+ years in backend, networking, or infrastructure engineering\n\nVisa: Must be legally authorized to work in the United States. We're not able to sponsor visas right now, though that may change down the line.\n\n\n\n\nABOUT FIRECRAWL\n\nFirecrawl is the easiest way to turn the web into data AI agents can use. One API call converts any URL into clean, LLM-ready markdown or structured data - the boring-hard problem everyone building with LLMs eventually hits, solved.\n\nWe hit 8 figures in ARR in year one and more than doubled it in year two. We have 147k+ GitHub stars, and developers, agents, and category-defining AI companies build on us every day. Growth like this is rare, and we're just getting started.\n\nWe're a small team punching far above our weight. Everyone here owns a real piece of the product and company, end to end, and runs it themselves - no hiding behind process or headcount.\n\nThis is a place for people who want to work at the frontier: an AI company building the infrastructure other AI companies run on, not one bolting AI onto an existing product. We move fast, go deep, and are building the tools superintelligence will rely on to gather data from the web.\n\n\n\n\nWHAT YOU'LL DO\n\n - Build and maintain the infrastructure that powers reliable data collection at scale\n\n - Improve success rates against sites with aggressive defenses\n\n - Own the health, rotation, and cost efficiency of the proxy layer\n\n - Push throughput and reliability under heavy, spiky, real-world load\n\n - Debug hard, intermittent failures across the stack and make them stay fixed\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - You've worked on networking, proxies, or high-throughput backend systems\n\n - You're relentless about reliability and comfortable in messy, adversarial problem spaces\n\n - You can own a system end to end and keep it healthy in production\n\n - You move fast and close the loop - you'd rather ship, measure, and iterate than perfect on paper\n\n\n\n\nWHAT WE'RE NOT LOOKING FOR\n\n - Someone who wants clean, well-defined problems only\n\n - Someone who avoids on-call or production ownership\n\n - Someone who needs the environment to be stable to do their best work\n\n\n\n\nA NOTE ON PACE\n\nWe operate at an absurd level of urgency because the window for what we're building won't stay open forever. If that excites you, keep reading. If it doesn't, no hard feelings — but this role probably isn't for you.\n\n\n\n\nBENEFITS \u0026 PERKS\n\n\n\n\nAVAILABLE TO ALL EMPLOYEES\n\n - Salary that makes sense — $200,000–$250,000/year, based on impact, not tenure\n\n - Own a piece — Gain competitive equity in what you're helping build\n\n - Generous PTO — 15 days mandatory, anything after 24 days, just ask (holidays excluded); take the time you need to recharge\n\n - Parental leave — 12 weeks fully paid, for all parents\n\n - Wellness stipend — $100/month for the gym, therapy, massages, or whatever keeps you human\n\n - Learning \u0026 Development — Expense up to $1,000/year toward anything that helps you grow professionally\n\n - Team offsites — A change of scenery, minus the trust falls\n\n - Sabbatical — 3 paid months off after 4 years, do something fun and new\n\n\n\n\nAVAILABLE TO US-BASED FULL-TIME EMPLOYEES\n\n - Full coverage, no red tape — Medical, dental, and vision (100% for employees, 50% for spouse/kids) — no weird loopholes, just care that works\n\n - Life \u0026 Disability insurance — Employer-paid short-term disability, long-term disability, and life insurance — coverage for life's curveballs\n\n - Supplemental options — Optional accident, critical illness, hospital indemnity, and voluntary life insurance for extra peace of mind\n\n - Doctegrity telehealth — Talk to a doctor from your couch\n\n - 401(k) plan — Retirement might be a ways off, but future-you will thank you\n\n - Pre-tax benefits — Access to FSAs and commuter benefits (US-only) to help your wallet out a bit\n\n - Pet insurance — Because fur babies are family too\n\n\n\n\nAVAILABLE TO SF-BASED EMPLOYEES\n\n - SF HQ perks — Snacks, drinks, team lunches, intense ping pong, and peak startup energy\n\n - E-Bike transportation — A loaner e","salary_min":200000,"salary_max":250000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","llm","infrastructure","backend"],"apply_url":"https://jobs.ashbyhq.com/firecrawl/6840bbee-aae5-4846-97a2-ec2e764ee75b/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-12T22:41:44.402Z","expires_at":"2026-08-15T14:16:24.684413Z","created_at":"2026-07-15T14:17:50.121535Z","updated_at":"2026-07-16T14:16:24.817402Z","company_name":"Firecrawl","company_slug":"firecrawl","company_logo_url":"https://www.google.com/s2/favicons?domain=firecrawl.dev\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/e02f64f7-97ca-4df9-8c15-82b1bb16fb2f"},{"id":"a609e546-df8f-4c93-8714-5a628ce31b8d","company_id":"cec3f1a8-c7e9-4ff6-a22d-19edaf0e2b25","title":"Backend Engineer","slug":"backend-engineer-777226b3","description":"ABOUT FLUIDSTACK\n\nWe exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had to do. Powerful AI will be the biggest lever for human choice we've ever built - but only if models are aligned with what humanity actually wants. There are groups building AI who don't share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it.\n\n\nWe're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. We acquire power, design and build data centers, and operate them - with teams spanning hardware and software. Speed and scale are our key differentiators. Come be a part of building civilization-scale infrastructure for AI.\n\n\nWe hire people who care deeply about this problem space. If that is you, please apply!\n\n\n\n\nHOW WE OPERATE\n\n - Extreme ownership. Full autonomy. Own things end to end often taking on scope outside your core role without being asked to get things done.\n\n - Velocity. We drive everything forward as fast as possible.\n\n - First principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins.\n\n - Love of the game. The frontier of AI is the most interesting problem of our time. We put in long hours at high intensity to push the frontier forward. ownership. Full autonomy. Own things end to end often taking on scope outside your core role without being asked to get things done.\n\n - Velocity. We drive everything forward as fast as possible.\n\n - First principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins.\n\n - Love of the game. The frontier of AI is the most interesting problem of our time. We put in long hours at high intensity to push the frontier forward.\n   \n    \n\n\nTHE PRODUCTION ENGINEERING TEAM\n\nExamples of key exciting problems the team is working on\n\n - Make tens of thousands of GPUs legible in real time: build the observability platform that turns raw telemetry into signal, from site-level health down to individual device and link. At 10 GW scale, you cannot operate what you cannot see.\n\n - Build the control plane every team at Fluidstack depends on: replace one-off tooling with a stable, versioned API surface that covers unified machine management, actual state inspection, and distributed command execution. One interface for the whole company, not a hundred scripts.\n\n - Make the system's view of itself always match reality: integrate fleet state as a machine-readable source of truth across provisioning, operations, and customer-facing platforms, so every new site and GPU generation lands cleanly from day zero.\n\n\nROLE SCOPE\n\n - Own the observability platform. Build and operate the data pipelines, decoration and correlation engine, and healthcheck framework that make the fleet legible — from site down to device and link. No other team should need to scrape production directly to answer a question.\n\n - Define and build the API surface for infrastructure. Design the contracts between production infrastructure and every tool that touches it. All other teams at Fluidstack use your tooling to manage and operate our hyperscale fleet.\n\n - Build the production control plane. Unified machine management, actual state inspection, distributed command execution — and the Kubernetes-based infrastructure that underpins it all.\n\n - Own fleet state as source of truth. SLOs, site lifecycle state, and integration with internal infrastructure management and customer-facing operations platforms. What the system says about itself should match reality, and you're accountable when it doesn't.\n\n - Land new hardware into the platform cleanly. ZTP, DHCP, DNS, artifacts — every new XPU generation and site integration goes through IaaS before production.\n   \n    \n\n\nWHAT WE'RE LOOKING FOR\n\nThe below is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, tell us where you would. https://jobs.ashbyhq.com/fluidstack/05c2e69c-42f9-4fcb-9cf0-a467aaf98f1c\n\n - You treat toil as a bug. If something requires a human to do it twice, you build the thing that makes it not require a human.\n\n - You design APIs that age well. You've felt the pain of a leaky abstraction at scale and you don't repeat it.\n\n - You move toward ambiguity, not away from it. You walk into the fog, build the map, and explain it to everyone else.\n\n - You learn at a steep slope. You reach real competence in an unfamiliar domain fast. We value this over existing expertise.\n\n - You carry a pager without flinching. You run the incident, write the postmortem, fix the systemic cause, and move on.\n\n - You're fluent with AI tooling. LLM APIs, MCP servers, and agentic frameworks, and you drive Claude Code, Cursor, or similar every day.\n\n - You've shipped production services that other teams depend on at sc","salary_min":175000,"salary_max":300000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["api-design","data-pipeline","llm","distributed-systems","agents","backend"],"apply_url":"https://jobs.ashbyhq.com/fluidstack/bff2c500-d321-4bde-b251-9f7a2ef2d894/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-05T16:44:40.965Z","expires_at":"2026-08-15T14:15:09.964461Z","created_at":"2026-07-06T14:14:40.475597Z","updated_at":"2026-07-16T14:15:10.083537Z","company_name":"FluidStack","company_slug":"fluidstack","company_logo_url":"https://www.google.com/s2/favicons?domain=fluidstack.io\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a609e546-df8f-4c93-8714-5a628ce31b8d"},{"id":"62aac160-a924-4733-81cc-1cd5c3933962","company_id":"d66267b6-f404-410f-9b8e-fe8bbcfcaf1b","title":"Senior Software Engineer (Backend) - AI/ML","slug":"senior-software-engineer-backend-aiml-aba682a3","description":"About ClickHouse\n Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads.\n The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla.\n We’re on a mission to transform how companies use data. Come be a part of our journey!\n About the team \n The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists.\n What you will do \n \n Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform.\n API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services.\n Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools.\n Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation.\n Oncall : Participate in the daytime oncall rotation along with the rest of the team.\n Developer Experience: Design and implement developer tools, SDKs, and documentation that enable users to leverage ClickHouse’s AI/ML capabilities.\n \n What you will bring along\n \n 5+ years of software engineering experience in production environments \n Exposure to working directly with AI/ML technologies\n Backend development experience in TypeScript or Python, with a focus on API design and service architecture\n A high level of ownership and can drive features from concept to production with minimal supervision\n Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders\n Backend development experience in one of Python, Go, or TypeScript, with a focus on API design and service architecture\n \n Nice to have \n \n Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases\n Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment\n Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus\n \n \n  \n #LI-remote\n The typical starting salary for this role in the US is\n $141,000 — $195,000 USD \n The typical starting salary for this role in US Premium Markets is\n $158,000 — $232,000 USD \n Compensation \n For roles based in the  United States , t he typical starting salary range for this position is listed above. In certain locations, such as the San Francisco Bay Area and the New York City Metro Area, a premium market range may apply, as listed.\n These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments.\n An individual’s placement within the range will depend on various factors, including (but not limited to) education, qualifications, certifications, experience, skills, location, performance, and the needs of the business or organization.\n If you have any questions or comments about compensation as a candidate, please get in touch with us at  paytransparency@clickhouse.com . \n Perks \n \n Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 20 countries. \n Healthcare - Employer contributions towards your healthcare. \n Equity in the company - Every new team member who joins our company receives stock options. \n Time off - Flexible time off in the US, generous entitlement in other countries. \n A $500 Home office setup if you’re a remote employee. \n Global Gatherings – We believe in the power of in-pers","salary_min":158000,"salary_max":232000,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["api-design","embeddings","agents","healthcare","code-generation","machine-learning","backend"],"apply_url":"https://job-boards.greenhouse.io/clickhouse/jobs/6009092004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-01T12:17:16Z","expires_at":"2026-08-15T14:15:15.22245Z","created_at":"2026-06-28T14:13:49.670499Z","updated_at":"2026-07-16T14:15:15.347642Z","company_name":"ClickHouse","company_slug":"clickhouse","company_logo_url":"https://www.google.com/s2/favicons?domain=clickhouse.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/62aac160-a924-4733-81cc-1cd5c3933962"},{"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","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["distributed-systems","api-design","generative-ai","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":"2026-08-15T14:08:42.008795Z","created_at":"2026-05-27T14:07:56.804097Z","updated_at":"2026-07-16T14:08:42.127497Z","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 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 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 Engineer for scale, resilience, and maintainability: Grounded in modular architecture, separation of concerns, code quality, observability, performance, and pragmatic design trade-offs. \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 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 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 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 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 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 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 Collaborate across boundaries: Partner effectively with platform, ML, application, data, and product engineers to transform concepts into scalable, reliable backend solutions. \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 Act with purpose: Apply thoughtful engineering and security-first principles t","salary_min":110000,"salary_max":145000,"location":"Seattle, WA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["agents","healthcare","llm","api-design","cloud","distributed-systems","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":"2026-08-15T14:16:09.252154Z","created_at":"2026-05-27T14:15:20.672768Z","updated_at":"2026-07-16T14:16:09.377247Z","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":"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","remote_scope":"unknown","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":"2026-08-15T14:02:39.136504Z","created_at":"2026-05-06T14:02:29.072191Z","updated_at":"2026-07-16T14:02:39.296071Z","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":"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","remote_scope":"unknown","job_type":"full-time","experience_level":"senior","tags":["llm","generative-ai","agents","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":"2026-08-15T14:02:42.518534Z","created_at":"2026-05-06T14:02:27.717522Z","updated_at":"2026-07-16T14:02:42.65176Z","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":"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 Platform Intelligence: 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 Platform Serving: 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 Agentic Systems: 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. Platform Distribution:  The Claude API today is a rapidly growing platform serving developers and enterprises at scale—but reaching the next tier of enterprise customers requires transforming how and where we deploy it. The Distributability team owns that transformation: making the Claude API a cloud-native, managed product that runs wherever our customers need it, cross-cloud and on Anthropic's own infrastructure, with the enterprise-grade security, compliance, and operational capabilities to support it.\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. Platform Safety: 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 ca","salary_min":405000,"salary_max":485000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["agents","llm","alignment","distributed-systems","cloud","api-design","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":"2026-08-15T14:00:38.889865Z","created_at":"2026-04-13T09:36:06.42406Z","updated_at":"2026-07-16T14:00:39.004894Z","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":"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","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["distributed-systems","llm","mlops","generative-ai","data-pipeline","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":"2026-08-15T14:02:33.153375Z","created_at":"2026-04-13T09:37:48.709915Z","updated_at":"2026-07-16T14:02:33.26876Z","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","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["data-pipeline","llm","distributed-systems","mlops","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":"2026-08-15T14:02:33.060776Z","created_at":"2026-04-13T09:37:48.859839Z","updated_at":"2026-07-16T14:02:33.178901Z","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","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["mlops","llm","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":"2026-08-15T14:02:33.225721Z","created_at":"2026-04-13T09:37:48.932496Z","updated_at":"2026-07-16T14:02:33.380267Z","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","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["mlops","generative-ai","data-pipeline","cloud","pytorch","distributed-systems","agents","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":"2026-08-15T14:02:33.337866Z","created_at":"2026-04-13T09:37:48.787822Z","updated_at":"2026-07-16T14:02:33.472015Z","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","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["llm","mlops","pytorch","agents","distributed-systems","cloud","data-pipeline","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":"2026-08-15T14:02:32.948382Z","created_at":"2026-04-13T09:37:48.625265Z","updated_at":"2026-07-16T14:02:33.09923Z","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":"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","remote_scope":"restricted","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":"2026-08-15T14:04:41.942992Z","created_at":"2026-04-13T09:39:52.167188Z","updated_at":"2026-07-16T14:04:42.061106Z","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"},{"id":"f77ed908-32f8-41a8-b1fd-dcf9b2a13120","company_id":"10c1ac82-83d5-423a-b438-4cc7b13d597c","title":"Senior Backend Engineer, Enterprise Readiness \u0026 Identity","slug":"senior-backend-engineer-enterprise-readiness-identity-b1b511dc","description":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout the Team\n\nThe Enterprise Readiness team builds the systems that allow large organizations to securely adopt and scale LangChain in production. The team focuses on identity, authentication, authorization, billing, compliance, and tenant management to ensure our platform meets the security and operational requirements of enterprise customers.\n\n\n\nAbout the Role\nLangChain is hiring a Senior Backend Engineer focused on Enterprise Readiness \u0026 Identity to build the features that make our platform secure, compliant, and scalable for enterprise customers.\n\nThis is a high-impact role on a newly formed team working at the intersection of authentication, authorization, billing, security, compliance, and tenant management. You’ll collaborate closely with infrastructure, product, GTM teams, and our largest enterprise users to shape the foundation of our enterprise offerings.\n\nLocation: In-person 5 days/week in New York City, San Francisco, or Boston.\n\n\n\nWhat You'll Do\n\n - Design and implement backend services (Python/Go) powering enterprise authentication, authorization, billing, and tenant provisioning\n\n - Build and evolve systems for SAML, SCIM, OAuth2, and single sign-on (SSO) integrations\n\n - Develop robust role-based and attribute-based access control systems (RBAC/ABAC) at organizational scale\n\n - Build and scale billing infrastructure including invoicing, usage-based charging, and flexible pricing model support\n\n - Implement audit logging, usage tracking, and metering pipelines to support compliance and billing accuracy\n\n - Optimize enterprise onboarding and tenant lifecycle management for reliability and scalability\n\n - Collaborate with security and compliance teams to support SOC2, GDPR, and other regulatory requirements\n\n - Partner with infrastructure engineers to ensure identity and enterprise features are performant, reliable, and observable\n\n - Engage directly with enterprise customers to translate requirements into secure, scalable platform capabilities\n\n - Write clean, maintainable, and well-documented backend code\n\n\n\nWhat You'll Bring\n\n - Technical experience\n   \n   - 5+ years of backend engineering experience with Python or Go (both preferred)\n   \n   - Deep knowledge of authentication and identity standards including OAuth2, SAML, JWTs, and SCIM\n   \n   - Experience building and scaling access control systems such as RBAC or ABAC frameworks\n   \n   - Experience building billing or usage infrastructure in SaaS environments\n   \n   - Familiarity with Postgres, Redis, APIs, and modern distributed backend infrastructure\n   \n   Enterprise systems experience\n   \n   - Comfort navigating enterprise security, compliance, and multi-tenant architectures\n   \n   - Prior experience building enterprise-grade SaaS platforms or developer platforms\n   \n   Working style\n   \n   - Strong ownership mindset and ability to thrive in fast-paced, unstructured startup environments\n   \n   Nice to Have\n   \n   - Background in security, observability, or developer infrastructure\n   \n   - Familiarity with LLMs, GenAI applications, or agentic frameworks\n   \n   \n\nCompensation\n\n - Annual salary range: $175,000- $240,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.","salary_min":175000,"salary_max":240000,"location":"New York, NY","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["llm","agents","generative-ai","payments","backend"],"apply_url":"https://jobs.ashbyhq.com/langchain/6f32998b-111c-447b-b593-2b64c7de245d/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-01-08T12:04:43.145Z","expires_at":"2026-08-15T14:02:13.459847Z","created_at":"2026-04-13T09:37:33.067306Z","updated_at":"2026-07-16T14:02:13.580831Z","company_name":"LangChain","company_slug":"langchain","company_logo_url":"https://www.google.com/s2/favicons?domain=langchain.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/f77ed908-32f8-41a8-b1fd-dcf9b2a13120"},{"id":"39be43d1-5b64-4be0-8482-07815f61922a","company_id":"10c1ac82-83d5-423a-b438-4cc7b13d597c","title":"Senior Backend Software Engineer, AI Observability \u0026 Evals Platform (LangSmith)","slug":"senior-backend-software-engineer-observability-evals-platform-langsmith-50ed25d5","description":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.\n\n\n\n\nABOUT THE ROLE\n\nIn person 5 days/week in San Francisco, Boston, MA, New York.\n\nWe are looking for a Senior Backend Engineer to join us. In this role you will be building the backend systems that power LangChain’s observability and evals platform. You will work on the core services that allow developers to monitor and evaluate their AI applications at scale. While the focus is on backend feature development, familiarity with fullstack or frontend engineering, performance tuning, and debugging production issues would be extremely valuable.\n\n\n\n\nWHAT YOU'LL DO\n\n - Design, develop, and maintain backend services and APIs to support LangSmith’s tracing, monitoring, and evaluation workflows.\n\n - Collaborate on architectural decisions to ensure systems are performant and maintainable.\n\n - Optimize storage and query performance for high-volume observability and evaluation data.\n\n - Ensure system reliability through strong testing, monitoring, and alerting practices.\n\n - Troubleshoot and resolve production issues, performing root-cause analysis and implementing long-term fixes.\n\n - Create and maintain technical documentation, including system design and API references.\n\n - Work closely with full-stack engineers, product managers, and product designers on rolling out new features.\n   \n   \n\n\nWHAT YOU'LL BRING\n\n - 5+ years of professional experience in backend engineering working on highly complex products\n\n - Proficiency in one or more backend languages/frameworks, ideally Python or Go\n\n - Strong understanding of API design and building reliable data services.\n\n - Experience with high-throughput or mission-critical systems.\n\n - Demonstrated ability to optimize backend services for performance and reliability.\n\n - Experience with database systems (Postgres, Redis, Clickhouse), and cloud platforms (AWS, GCP, Azure)\n\n - Strong communication skills, with the ability to collaborate cross-functionally\n\n - Customer centricity and ownership mentality\n   \n   \n\nCompensation\n\nAnnual salary range: $175,000- $240,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.","salary_min":175000,"salary_max":240000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","api-design","backend","evaluation"],"apply_url":"https://jobs.ashbyhq.com/langchain/f07c1416-f126-4925-8606-5dd7c5a90f6f/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-01-08T12:04:40.975Z","expires_at":"2026-08-15T14:02:13.38421Z","created_at":"2026-04-13T09:37:32.982254Z","updated_at":"2026-07-16T14:02:13.501193Z","company_name":"LangChain","company_slug":"langchain","company_logo_url":"https://www.google.com/s2/favicons?domain=langchain.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/39be43d1-5b64-4be0-8482-07815f61922a"},{"id":"60316ea6-7e4c-4974-9034-aba9c4de1839","company_id":"ec4a8bb4-3840-4054-8ccd-77e81db037af","title":"Senior Software Engineer, Platform - Data + AI (Back-End)","slug":"senior-software-engineer-platform-data-ai-back-end-d644ed8f","description":"C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI \n C3 AI is looking for Senior Software Engineers to join the rapidly growing Data org within the Platform Engineering department. Successful candidates will get the opportunity to work on high-value technologies at the intersection of large-scale distributed systems, data infrastructure, and machine learning. You will design, develop, and maintain various features in a highly scalable and extensible AI/ML platform for large-scale applications, involving data science, distributed systems, and multi-cloud strategy.\n You will be given opportunities to take ownership of components, collaborate to drive technical direction, and work on interesting, impactful projects. Join us in building the next-generation AI/ML platform at petabyte level scale that powers some of the world’s largest companies in Energy, Financial Services, Utilities, Health Care, Aerospace, Defense, etc. Accelerate your career in the leading enterprise AI company that is in a hyper-growth trajectory.\n Responsibilities: \n \n Design and develop infrastructure and services to enable data pipelines for petabyte level scale and more.\n Design and develop abstractions over datastores such as Cassandra, PostgreSQL, Snowflake, etc.\n Design and develop file system abstractions over AWS S3, Azure Blobs, HDFS, etc.\n Design and develop connectors to various external data stores.\n Design and develop distributed system components for stream processing, queueing, batch processing, analytics engines, etc.\n Develop and maintain industry-leading, high-performance APIs for AL/ML applications.\n Develop and maintain features for distributed computations over large-scale data for ML workflows.\n Design and develop ML-specific data-systems such as feature stores and behavioral frameworks such as recommendation engines.\n Design and develop integrations with distributed computing technologies such as Apache Spark, Ray, etc. for data exploration and ML workload orchestration.\n Design and develop integrations with data analysis libraries such as Pandas, Koalas, etc.\n Develop and production AI/ML models for failure prediction, data schema inferencing, etc.\n Work on frameworks for performance, scalability, and reliability tracking over different components of a highly extensible AI/ML platform.\n Work with architects, product managers, and software engineers across teams in a highly collaborative environment.\n Participate and provide insights in technical discussions.\n Write clean code following a test-driven methodology.\n Deliver commitments promptly following agile software development methodology.\n \n Qualifications: \n \n Bachelor of Science in Computer Science, Computer Engineering, or related fields.\n A minimum of 5 years of work experience in a fast-paced software company.\n Strong understanding of Computer Science fundamentals.\n High proficiency in coding with Java, C++, C#, or some other compiled language. Python would also be acceptable.\n Strong competency in object-oriented programming, data structures, algorithms, and software design patterns.\n Experience with version control systems such as Git.\n Experience with large-scale distributed systems.\n Experience with any public cloud platform (AWS, Azure, GCP).\n Some familiarity with distributed computing technologies (e.g., Hadoop, Spark, Kafka). Familiarity with managed versions of these technologies on public cloud platforms is also acceptable.\n Familiarity with technologies in the modern data science/analysis and engineering ecosystem (e.g., Pandas, Koalas).\n Good verbal and written technical communication ability to facilitate collaboration.\n Thrive in a fast-paced, dynamic environment and value end-to-end ownership of components.\n Intellectually curious and open to challenges.\n \n Preferred Qualifications: \n \n Advanced degree in engineering, sciences, or related field.\n Experience with Agile development methodology.\n Experience developing and working with REST and/or GraphQL APIs.\n Experience building scalable and reliable data pipelines.\n Experience with integration of data from multiple sources.\n Experience working with analytics and/or data processing engines.\n Experience developing distributed computation over large-scale data.\n Experience working with distributed computing frameworks (e.g., Hadoop, Spark, Kafka).\n Experience with data science/analysis libraries (e.g., Pandas, Koalas).\n Experience with task schedulers in distributed computing (e.g., Spark, Ray, Dask).\n Familiarity with machine learning ","salary_min":145000,"salary_max":187000,"location":"Redwood City, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["api-design","distributed-systems","cloud","agents","data-pipeline","generative-ai","fine-tuning","backend"],"apply_url":"https://c3.ai/job-description/8365468002?gh_jid=8365468002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-01-07T23:24:42Z","expires_at":"2026-08-15T14:10:38.529956Z","created_at":"2026-04-13T15:01:26.564983Z","updated_at":"2026-07-16T14:10:38.654014Z","company_name":"C3 AI","company_slug":"c3-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=c3.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/60316ea6-7e4c-4974-9034-aba9c4de1839"},{"id":"7c9ec7ea-9678-4674-9cdd-a4d3d70766fd","company_id":"d3f1a010-47af-48d2-8b4e-a5953078daac","title":"Staff Software Engineer, Backend Platform","slug":"staff-software-engineer-backend-platform-eebe963d","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 Platform Engineer at Harvey, you will help build and operate the cohesive backend platform that all our services run on. In this mid-to-senior level role, you’ll design and implement shared frameworks and libraries that abstract common concerns, improve developer experience, and raise the baseline for reliability and performance across all teams. Your mission aligns with our platform charter: create “a shared foundation that enables product teams to ship reliable, observable, and performant experiences quickly and safely.” By centralizing common work, you’ll let product engineers focus on shipping features rather than re-inventing the wheel. This is a high-impact role where the code you write and the systems you build will amplify the productivity and quality of engineering across the entire company.\n\n\n\nIf you’re excited about building foundational systems, solving cross-cutting technical challenges, and enabling others to move faster with confidence, we’d love to hear from you.\n\n\n\n\nWHAT YOU'LL DO\n\n\n\n - Develop and maintain Harvey’s internal backend frameworks and libraries that provide common capabilities (API routing, service lifecycle management, caching and messaging primitives, error handling interfaces, etc.), so product teams don’t have to reinvent them\n\n - Create and improve APIs, service templates, and versioned interfaces that establish consistent patterns for building new services and features\n\n - Introduce and champion modern backend architecture patterns like asynchronous I/O (asyncio) and streaming data processing, continually evolving our platform for better performance and scalability\n\n - Design Harvey-specific abstractions and domain-specific frameworks—covering cross-cutting concerns (e.g., authorization, streaming) and areas like data governance and event processing—to provide product engineers with these capabilities out of the box.\n\n - Embed reliability and observability into the platform by building in tracing, metrics, and automated tests (shift-left), ensuring services built on our foundation are robust and easy to monitor\n\n - Collaborate with Model Infrastructure team to tackle challenges unique to GenAI-native applications — such as supporting high-throughput model inference, managing streaming and long-running API interactions, and designing abstractions for retrieval, context handling, and prompt lifecycle\n\n - Collaborate with the Developer Experience and Infrastructure teams (who own CI/CD pipelines, build tools, and release infrastructure) to integrate our platform components seamlessly into the deployment and monitoring ecosystem\n\n - Work closely with product engineering teams to gather feedback, evangelize best practices, and make the “paved road” approach a reality — providing strong defaults and clear documentation so teams can move fast with confidence\n\n\n\n\nWHAT YOU HAVE\n\n - 7+ years of software engineering experience (post-BS/MS), including building scalable backend systems or internal developer platforms\n\n - Proficiency in Python (or similar languages) and deep knowledge of backend development fundamentals (APIs, data stores, concurrency, distributed systems)\n\n - Hands-on experience with web frameworks and service architectures (e.g. Flask/FastAPI, Bounded context services, microservices) and an understanding of designing clean, versioned APIs\n\n - Familiarity with caching, messaging, and database technologies (Redis, Kafka, SQL/NoSQL databases, Vector databases, etc.) and how to use them effectively for high performance and reliability\n\n - A track record of writing high-quality, well-tested code and using tools (unit/integration testing, static typing, CI) to catch issues early ","salary_min":238000,"salary_max":290000,"location":"San Francisco, CA","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"lead","tags":["distributed-systems","embeddings","agents","microservices","generative-ai","platform","backend"],"apply_url":"https://jobs.ashbyhq.com/harvey/7c71db12-6edb-441e-b76c-847ef6d00527/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2025-12-18T16:23:51.99Z","expires_at":"2026-08-15T14:02:40.644456Z","created_at":"2026-04-13T09:37:53.918999Z","updated_at":"2026-07-16T14:02:40.761682Z","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/7c9ec7ea-9678-4674-9cdd-a4d3d70766fd"},{"id":"9caebb1f-16aa-45eb-a1fc-e426b6814514","company_id":"11af9262-635a-44b7-a3bb-1df3149fa9e2","title":"Backend Software Engineer","slug":"backend-software-engineer-cd8b70ee","description":"COMPANY OVERVIEW\n\nEach year, 2.5 trillion hours are spent on household chores. At Matic, we’re on a mission to recapture that lost time, and we’re doing it by revolutionizing home robotics.\n\nOur first product, also called Matic, is a Wall-E-esque floor cleaning robot. We've built what amounts to \"full self-driving in the home” with real-time 3D mapping, adaptive path-tracking, and a precise semantic understanding of the home. Our breakthroughs in spatial AI allow Matic to work reliably in real homes, using only RGB cameras and neural networks running on-device.\n\n\n\n\nPRIVACY FIRST\n\nWhat happens in the home, stays in the home. Our robots are private by design, with all data processing performed by the robot itself, not in the cloud.\n\n\n\n\nOUR APPROACH\n\nBefore the iPhone, consumers adopted several distinct devices; cell phones, PDAs, and portable music players each served a particular need. We believe in a similar progression for home robotics, starting with single-purpose robots and building iteratively toward more complex capabilities over time.\n\n\n\n\nOUR CULTURE\n\nMatic is a tight-knit and collaborative team, singularly focused on building products our customers will cherish. We're ultra-hardworking people committed to solving tough problems that save precious time and energy.\n\n\n\n\nABOUT THE ROLE\n\nBackend Software Engineer\n\nWe're looking for a meticulous Backend Software Engineer to join us, with runway for huge and immediate impact. You would be working on internal tools with the rest of software, mechanical and electrical engineers.\n\n\n\nWhat you'll do\n\n - Build and scale internal tools that support and streamline our production facilities\n\n - Develop robust systems in Rust to improve manufacturing efficiency and reliability\n\n - Collaborate closely with Mechanical Engineering, Electrical Engineering, and Production teams to bring tooling needs to life\n\n - Recognize opportunities to create tools and improve infrastructure for better cross-team efficiency\n\n - Be an integral member of our small software team\n\n\n\nWhat we look for\n\n - 2-5 years' experience in backend software development\n\n - Proficiency in Rust, or strong systems programming background with eagerness to work primarily in Rust\n\n - Experience building internal tooling or production support systems\n\n - Ability to work cross-functionally with hardware engineers and production teams\n\n - Comfort with a fast-paced, startup atmosphere — you don't shy away from the hard work\n\n - High level of maturity, ownership, and pride in your work\n\n\nWe'd love to hear from you if...\n\n - You are genuinely motivated to help those around you\n\n - You are passionate about learning outside of your normal comfort zones\n\n - You love diagnosing complex technical issues\n\n - You are excited about taking ownership on a wide range of systems and driving projects from concept through shipping\n\n\n\nCompensation\n\nBase $120,000 — $200,000\n\nActual Compensation will depend on skills, experience and qualifications. Base Salary is one part of the total compensation package. The role is also eligible for equity through the company’s discretionary equity program, along with a comprehensive benefits package that includes medical, dental and vision coverage access to a 401(k) plan.","salary_min":120000,"salary_max":200000,"location":"Menlo Park, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"junior","tags":["robotics","deep-learning","autonomous-vehicles","backend"],"apply_url":"https://jobs.ashbyhq.com/MaticRobots/230e365c-de86-4f7b-b971-2d25a021b0d4/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2025-12-12T00:10:52.254Z","expires_at":"2026-08-15T14:17:19.79834Z","created_at":"2026-04-16T20:04:21.911608Z","updated_at":"2026-07-16T14:17:19.98408Z","company_name":"Matic","company_slug":"matic-robots","company_logo_url":"https://www.google.com/s2/favicons?domain=maticrobots.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/9caebb1f-16aa-45eb-a1fc-e426b6814514"},{"id":"4fc83acb-2d08-48bd-b4a4-4d36a214db66","company_id":"84aa85d5-e0e2-4979-9998-322555a216c2","title":"Senior Backend Engineer, Data Modeling and Ingestion Platform","slug":"senior-backend-engineer-data-modeling-and-ingestion-platform-abaad41b","description":"About the Role \n We are looking for a Senior Backend Engineer to lead the unification of large, highly rich, and heterogeneous datasets sourced from a wide range of external providers. These datasets are used to power our generative audio models. \n Your work will create the foundational dataset that powers our research by building robust, scalable systems for linking, deduplicating, reconciling, and enriching data at massive scale. This role centers on  high-impact bulk ingestion and advanced data linkage . You will design the logic, algorithms, and strategies that transform many independent datasets into a unified, high-quality canonical asset used throughout the company.\n You will collaborate closely with ML researchers and product teams, working with tools such as BigQuery, Dataflow/Beam, TFRecords , and—where beneficial—distributed systems frameworks like  Ray . Familiarity with ML workflows using  JAX or multihost training is a plus, as the datasets you produce will directly support that ecosystem.\n What You'll Do\n \n Build high-throughput  bulk ingestion workflows  to integrate datasets from multiple external providers. \n Design and implement scalable  entity-resolution  solutions, including record linking, deduplication, clustering, and conflict arbitration. \n Create and refine  matching logic, decision rules, and similarity functions  to align datasets with high accuracy and strong coverage. \n Define and track  data quality indicators , such as overlap metrics, match precision/recall, duplicate rates, and completeness. \n Prepare training-ready datasets in formats such as  TFRecords , and structure data to meet ML research requirements. \n Develop processing components using  Dataflow (Beam) and manage large analytical workloads in BigQuery . \n Leverage frameworks like  Ray  to accelerate large-scale experiments, feature extraction, and research-oriented data preparation. \n Collaborate with ML researchers to anticipate downstream requirements and evolve linkage strategies as new sources and use cases emerge. \n \n What We're Looking For \n \n Experience working with  large, heterogeneous datasets from multiple providers or domains. \n Strong background in  entity resolution , deduplication, data unification, or related large-scale data integration techniques. \n Proficiency in  Python , with an emphasis on efficient, scalable data processing. \n Experience with  BigQuery, Google Dataflow/Apache Beam , or similar batch-processing frameworks. \n Familiarity with  data validation, normalization, reconciliation , and building consistent views across diverse data sources. \n Ability to craft well-structured  matching and decision strategies  that balance accuracy, completeness, and computational efficiency. \n Comfortable iterating quickly on pragmatic solutions, balancing correctness with time-to-delivery. \n Clear communication skills and the ability to collaborate closely with ML and research teams. \n \n  Nice to Have\n \n Knowledge of architecting Google Cloud Platform systems at scale\n Experience with distributed compute frameworks such as Ray , Spark , or Flink . \n Understanding of  JAX-based ML pipelines ,  multihost training setups,  or large-scale data preparation for accelerator-backed workflows. \n Familiarity with  TFRecords  or other high-volume training data formats. \n Exposure to ranking, clustering, or statistical similarity modeling. \n Experience with Go , NextJS , and/or React Native to contribute to full-stack development\n \n Why Join Us \n \n You will design the  core dataset  that underpins our research, product development, and generative audio models. \n You'll work on large-scale data challenges that require creativity, algorithmic thinking, and engineering excellence.\n You'll join a small, fast-moving team where your decisions shape the direction of our data and research capabilities.\n \n Benefits\n \n Highly competitive salary and equity \n Quarterly productivity budget\n Flexible time off\n Fantastic office location in Manhattan\n Productivity package, including ChatGPT Plus, Claude Code, and Copilot\n Top notch private health, dental, and vision insurance for you and your dependents\n 401(k) plan options with employer matching \n Concierge medical/primary care through One Medical and Rightway \n Mental health support from Spring Health \n Personalized life insurance, travel assistance, and many other perks\n \n Udio’s success hinges on hiring great people and creating an environment where we can be happy, feel challenged, and do our best work. \n Udio provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.\n This role is eligible for a c","salary_min":180000,"salary_max":220000,"location":"New York, NY","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["distributed-systems","jax","code-generation","backend"],"apply_url":"https://job-boards.greenhouse.io/udio/jobs/4988140008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2025-11-13T21:43:53Z","expires_at":"2026-08-15T14:18:51.416334Z","created_at":"2026-04-17T00:48:46.067742Z","updated_at":"2026-07-16T14:18:51.54231Z","company_name":"Udio","company_slug":"udio","company_logo_url":"https://www.google.com/s2/favicons?domain=udio.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/4fc83acb-2d08-48bd-b4a4-4d36a214db66"}],"market_demand_pack":{"amount_cents":2900,"api_checkout_url":"https://aidevboard.com/api/v1/checkout?product_id=aidevboard_ai_skills_demand_pack","checkout_url":"https://aidevboard.com/market-demand-pack?qc=api-jobs-market-demand-pack\u0026utm_campaign=skills_demand_pack\u0026utm_medium=jobs_api\u0026utm_source=api","currency":"USD","description":"Full ranked public AI/ML demand CSV, source job URLs, and decision brief with market and offer angles.","fulfillment":"automatic_email_after_paid_checkout","human_checkout_url":"https://aidevboard.com/market-demand-pack?qc=api-jobs-market-demand-pack\u0026utm_campaign=skills_demand_pack\u0026utm_medium=jobs_api\u0026utm_source=api","name":"AI Market Demand Pack","next_step":"Open checkout_url for Stripe Checkout, or call api_checkout_url to get the non-charging checkout handoff payload.","price_usd":29,"product_id":"aidevboard_ai_skills_demand_pack","quote_url":"https://aidevboard.com/api/v1/quote?product_id=aidevboard_ai_skills_demand_pack"},"page":1,"per_page":20,"total":217,"total_pages":11}