{"access":{"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","employer_pilot_url":"https://aidevboard.com/verified-interview-pilot","mode":"open","register_url":"https://aidevboard.com/api/v1/register"},"candidate_resume_action":{"application_authorized":false,"candidate_charge":0,"endpoint":"https://aidevboard.com/api/v1/candidate/resume-preview","job_id_json_path":"jobs[].id","method":"POST","preview_requires_identity":false,"required_body_fields":["job_id","evidence_bullets"],"requires_explicit_human_review":true,"saved_artifact_protocol":"mcp","saved_artifact_requires_verified_human":true,"saved_artifact_tool":"compile_job_specific_resume","search_requires_identity":false,"status":"available_after_candidate_selects_job","submission_performed":false,"uses_candidate_verified_evidence":true},"degraded":false,"estimated":false,"has_next":true,"jobs":[{"id":"f14f7e06-beb3-4c13-ab57-c9011d97da6e","company_id":"47c8818e-9a45-4180-8d96-931d2774d36b","title":"Senior Software Engineer - Machine Learning Platform","slug":"senior-software-engineer-machine-learning-platform-34e43d2b","description":"About Upstart \n At Upstart, we’re united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence.\n As the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that’s both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 3,000 signals, powering smarter, fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress.\n We’re proudly digital-first, giving most Upstarters the flexibility to do their best work from wherever they thrive, alongside teammates across 80+ cities in the US and Canada. Digital-first doesn’t mean distant. We’re intentional about in-person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in-person from one of our offices in Columbus, Austin, the Bay Area, or New York City (opening Summer 2026), you’ll have the support to work in the way that works best for you.\n If you’re energized by tackling meaningful problems, excited to innovate with purpose, and motivated by work that truly matters, we’d love to hear from you.\n The Team:  \n The Machine Learning and Simulations Platform (MLSP) team builds and operates the core infrastructure that powers ML model training,feature engineering,  inference, and marketplace simulation at Upstart. Every underwriting, fraud, conversion, and verification model runs on this platform. We own the full production path: the data and features that feed a model, the infrastructure that serves it at decision time, the tooling that deploys it, and the simulation systems that predict business impact before a change goes live.\n We are reimagining that platform to keep pace with our ML teams. That work spans low latency and GPU model serving, self-service model deployment, a feature platform that gives ML one place to define and serve production features, and high fidelity marketplace simulation. The team partners closely with ML, Engineering, Product, Data Platform.\n As a Senior Software Engineer on the ML and Simulations Platform team at Upstart, you will be responsible for building an MLOps platform to support machine learning model inference, process automation, model deployment, and observability. Machine Learning is critical to Upstart’s core business, and our greatest competitive advantage lies in the fact that we’re able to innovate on our AI engine quickly. You will also help build a  marketplace simulation platform to support rapid innovation across ML and Finance teams.\n How you’ll make an impact\n \n Build, maintain, and optimize  Upstart’s next-generation machine learning and simulation platform, enabling increased scale, performance, and confidence in decisioning.\n Develop  high-quality software applications that enable machine learning models to be applied to the ever-evolving needs of the business\n Build self-service tooling so ML teams can register features and deploy models independently, and reduce the manual work the platform team absorbs today.\n Deliver the data and feature infrastructure behind every model, including feature definition, storage, serving, and offline to online parity.\n Design and contribute to  our simulation systems to more accurately reflect production environments, reducing simulation cost and enabling broader usage across teams.\n Communicate closely with cross-functional partners from  ML, Engineering, Product, and Data Engineering  teams, keeping all stakeholders informed\n Mentor engineers across the team, sharing expertise on distributed systems,MLOps,  and scalable architecture.\n \n Minimum Qualifications  \n \n 6+ years of software engineering experience.\n Experience building and maintaining backend software services and APIs.\n Experience with distributed systems or large scale data processing, using Spark, Databricks, Ray, or an equivalent.\n Experience with an ML platform or the ML production path, such as training pipelines, model serving, feature pipelines, or a training data platform.\n Proficiency with some or many of the following: Python, Kotlin, Databricks, and AWS.\n Exhibits a growth mindset. You pick up new technologies that fit the task, and you learn from others.\n Ability to quickly comprehend complex requirements from ML, product, or engineering leadership, and translate them for both technical and non-technical partners.\n \n Preferred Qualifications \n \n Skill with Metaflow, MLflow, gRPC, Spark/PySpark, dbt, Ray, GPU\n Knowledge of simulation, experimentation, or ","salary_min":166900,"salary_max":230000,"location":"United States","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["api-design","mlops","distributed-systems","platform","machine-learning"],"apply_url":"https://careers.upstart.com/jobs?gh_jid=8161883","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-27T16:22:50Z","expires_at":"2026-09-29T13:45:21.136887Z","created_at":"2026-08-29T13:46:50.095597Z","updated_at":"2026-08-30T13:45:21.267566Z","company_name":"Upstart","company_slug":"upstart","company_logo_url":"https://www.google.com/s2/favicons?domain=upstart.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/f14f7e06-beb3-4c13-ab57-c9011d97da6e"},{"id":"055b70f6-526b-40cc-8a87-2d740f2f1faf","company_id":"10c1ac82-83d5-423a-b438-4cc7b13d597c","title":"Senior Frontend Platform Engineer, Design Systems","slug":"senior-frontend-platform-engineer-design-systems-f0c95cfa","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 US:\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\nToday, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.\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\n\n\n\nABOUT THE ROLE:\n\nLangChain is building the infrastructure that powers the next generation of AI applications. Our tools are used by thousands of developers and teams to build, debug, and ship production-grade LLM-powered products.\n\n\n\nAs our product surface area grows, so does the need for a cohesive, scalable, and high-quality UI foundation. That’s where Design Systems comes in. We’re looking for a Design Systems Engineer to help build, own, and evolve LangChain’s component library—the foundation that our frontend teams rely on to ship fast without sacrificing quality, accessibility, or consistency.\n\n\n\nThis role sits at the intersection of Design and Engineering. You’ll work closely with designers, product engineers, and platform teams to turn design intent into robust, reusable components and tooling that scale across the product.\n\n\n\nYou’ll have ownership, influence, and your work will be directly consumed across LangChain’s products.\n\nWhat You’ll Do: \n\n - Build and own LangChain’s component library\n   \n   - Design and implement reusable, composable React components that are flexible, accessible, and production-ready\n   \n   - Partner closely with designers to translate design systems, tokens, and interaction patterns into code\n\n - Build reliable UI quality systems\n   \n   - Develop design system tooling and improve workflows around theming, tokens, versioning, testing, and component discovery (e.g. Storybook)\n   \n   - Make thoughtful architectural decisions that enable accessibility, performance, consistency, and maintainability across LangChain’s UI stack\n\n - Improve UI build and test workflows\n   \n   - Optimize build performance, bundling strategy, and package versioning for the component library\n   \n   - Maintain tooling for testing, dependency management of the UI app\n\n\n\n\nHOW TO BE SUCCESSFUL IN THIS ROLE: \n\n - Strong experience building modular, composable, and well-documented component libraries and/or design systems\n\n - Deep knowledge of React, TypeScript, HTML, and CSS, familiarity with: styling approaches (CSS Modules, CSS-in-JS, Tailwind, Sass, etc.) and design system toolings (Storybook, Chromatic, tokens pipelines, etc.)\n\n - Experience collaborating closely with designers and non-engineering partners\n\n - Strong attention to detail and a high bar for craft and genuine passion for accessibility and inclusive design\n\n - Familiarity with testing UI components and visual regression testing\n   \n   \n\nCompensation: \n\n - We offer competitive compensation that includes base salary, variable compensation for ","salary_min":170000,"salary_max":195000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","llm","frontend","platform"],"apply_url":"https://jobs.ashbyhq.com/langchain/1b125fc4-be24-422f-a180-30b7431fc6cf/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-22T02:01:29.778Z","expires_at":"2026-09-29T13:32:15.953695Z","created_at":"2026-08-25T18:26:42.7441Z","updated_at":"2026-08-30T13:32:16.093871Z","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/055b70f6-526b-40cc-8a87-2d740f2f1faf"},{"id":"87b17259-a87a-45ef-a042-513d3be7336e","company_id":"f0c85993-fd53-4228-8ce3-b758284c4ecf","title":"Head of Engineering, AI Platform","slug":"head-of-engineering-ai-platform-d1318179","description":"About Gusto \n At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.\n   All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy .\n   AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.\n at Gusto \n San Francisco, CA\n About Gusto \n At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.\n All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.\n AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.\n About the Role: \n Gusto is building AI agents that help small business owners get work done, whether by working alongside them or by automating their work entirely. AI Platform is the group that builds those agents and the underlying platform they run on, which other teams across Gusto also use to build agents of their own.\n We're looking for someone to lead the whole group: an organization of around 25 engineers, together with the managers who run each area. The platform is already in production and running a growing number of agents, so much of the work now is scaling it. That means helping the teams settle into their charters, working out what the shared platform should own versus what product teams build for themselves, and keeping the group's direction aligned with Gusto's broader AI strategy. There is considerable room for the group to grow from here.\n About the Team: \n AI Platform builds Gusto's agents and the platform they run on, along with the AI features customers use directly. One team owns the shared layer: it connects Gusto's products to the models, runs multi-step agent workflows reliably, and provides the model gateway, the tool and MCP registry, and the evaluation and observability tooling, so that any team can build an agent without recreating the same groundwork each time. It is built on LangGraph and the Vercel AI SDK. The other teams build the customer-facing agents on top of that platform, some working directly with customers and others running in the background to automate work on their behalf.\n It's already a highly cross-functional group, with product managers, designers, and data scientists working as part of the team alongside the engineers. It partners with product and AI/ML science teams across the rest of Gusto, and reports to the Head of Engineering, Core Experiences.\n Here's what you'll do day-to-day: \n \n You'll lead the group's technical strategy for building agents that assist and automate work for small business owners, and ensuring they're built on a platform other teams at Gusto can use.\n Set the technical direction and roadmap for the group, including the ongoing question of what the shared platform should own and what product teams build for themselves as more of the company comes to rely on it.\n Lead and empower the managers and tech leads in the group, supporting those already in place, hiring ahead of the group's growth, and building strong leadership for each of the teams as they take shape.\n Set the engineering standards for how agents behave, treating prompts, tools, and policies as production code and owning the evaluation and guardrail approach that keeps these non-deterministic systems reliable and cost-aware.\n Work closely with the product and data science partners in the group, and with the teams across Gusto that build on the platform, so that it meets their needs and becomes the way teams build agents across the company.\n Represent AI engineering to senior leadership, and keep the group's work connected to Gusto's broader AI strategy.\n Champion AI-native ways of working, and build a team that engineers","salary_min":321000,"salary_max":356000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["payments","agents","llm","platform"],"apply_url":"https://job-boards.greenhouse.io/gusto/jobs/8104201","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-19T21:46:16Z","expires_at":"2026-09-29T13:40:07.683437Z","created_at":"2026-08-25T18:29:29.799614Z","updated_at":"2026-08-30T13:40:07.818605Z","company_name":"Gusto","company_slug":"gusto","company_logo_url":"https://www.google.com/s2/favicons?domain=gusto.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/87b17259-a87a-45ef-a042-513d3be7336e"},{"id":"00406c0f-ce37-4651-b86e-cfceee3d2fd9","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Platform Engineer, Battlespace Awareness","slug":"platform-engineer-battlespace-awareness-e5e803fa","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE TEAM \n Anduril's Air \u0026 Missile Defense Radar team develops cutting-edge tracking algorithms and software systems that detect, track, and characterize airborne threats in real-time. Working in small, focused teams, our software engineers design and implement sophisticated tracking solutions that protect lives and critical assets. Our work spans the full spectrum—from developing novel multi-target tracking algorithms to building high-performance distributed systems that process massive amounts of sensor data in milliseconds.\n ABOUT THE JOB \n We are seeking a Platform Engineer to bridge the gap between software engineers working on tactical code and the DevSecOps engineers maintaining cloud infrastructure. You will build and maintain the secure automation infrastructure that powers our radar tracking deployments, create testing and analysis tools to support tactical software, and accelerate developer workflows. You'll design CI/CD pipelines, architect core tooling, implement Infrastructure-as-Code, and establish continuous compliance workflows that enable our engineering teams to deploy updates rapidly while meeting stringent DoD and IC security requirements.\n WHAT YOU WILL DO \n \n Design and implement secure CI/CD pipelines, enabling automated build, test, and deployment of radar tracking software across multiple enclaves\n Collaborate with software engineers to optimize the build and test processes, reduce deployment friction, and integrate security controls early in the development lifecycle\n Work alongside tactical software developers to identify pain points and process deficiencies and architect durable solutions\n Build Infrastructure-as-Code frameworks (Terraform, Ansible, or similar) to provision and configure development, test, and production environments that meet DISA STIG and NIST 800-53 requirements\n Automate security compliance workflows, including STIG scanning, vulnerability assessment, configuration validation, and compliance reporting for continuous monitoring\n Develop containerization and orchestration solutions (Docker, Kubernetes) tailored for classified networks with appropriate security hardening\n Create monitoring and logging infrastructure to support security operations, troubleshooting, and incident response\n Partner with system administrators and ISSM/ISSO personnel to ensure deployed systems meet customer security requirements \n \n REQUIRED QUALIFICATIONS \n \n 5+ years of experience and a Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)\n Strong hands-on experience with CI/CD tools such as GitLab CI, Jenkins, GitHub Actions, or similar\n Proficiency in a variety of programming languages such as Python and C++.\n Understanding of software engineering fundamentals: design patterns, testing, version control, and debugging\n Familiarity with Infrastructure-as-Code using Terraform, Ansible, Puppet, Chef, or similar tools\n Working knowledge of containerization technologies (Docker) and orchestration platforms (Kubernetes, Docker Swarm)\n Understanding of Linux system administration, networking, and scripting (Python, Bash)\n Ability to obtain and maintain a U.S. Top Secret SCI security clearance\n \n DESIRED QUALIFICATIONS \n \n Experience deploying and maintaining systems in classified DoD or IC environments\n Hands-on experience with ATO processes, STIG implementation, and continuous monitoring for accredited systems\n Proficient in Python package development\n Familiarity with SCAP-compliant scanning tools (OpenSCAP, Nessus, ACAS) and automated compliance frameworks\n Experience with secure software supply chain practices, artifact signing, and software bill of materials (SBOM)\n Knowledge of zero-trust architectures and microsegmentation in Kubernetes environments\n Experience with GitOps workflows and declarative infrastructure management\n Proficiency with observability and monitoring tools (Prometheus, Grafana, ELK stack, Splunk)\n Understanding of PKI, certificate management, and secrets management solutions (Vault, AWS Secrets Manager)\n Experience with air-gapped or disconnected network deployments\n Familiarity with DoD security frameworks (RMF, NIST 800-53, DISA STIGs)\n Active U.S. Top Secret SCI clearance\n Relevant certificati","salary_min":165000,"salary_max":218000,"location":"Fort Collins, CO","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["computer-vision","cloud","payments","distributed-systems","platform"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5205419007?gh_jid=5205419007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-06T12:23:52Z","expires_at":"2026-09-29T13:37:18.640341Z","created_at":"2026-08-25T18:28:19.10561Z","updated_at":"2026-08-30T13:37:18.775824Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/00406c0f-ce37-4651-b86e-cfceee3d2fd9"},{"id":"abba779f-44e8-4ffd-8b33-f3c5486ad2bb","company_id":"f8de0913-0ef7-4e72-a9cf-81f8513ec624","title":"Software Engineer, Data Engineering","slug":"software-engineer-data-engineering-56e2f4f4","description":"FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.\n","salary_min":115000,"salary_max":170000,"location":"Irvine, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["robotics","platform","data-engineering","infrastructure"],"apply_url":"https://jobs.lever.co/field-ai/e3b7bac7-5410-44bb-964c-02815fbd0c97/apply","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-01T01:03:02.312Z","expires_at":"2026-09-29T13:46:12.984374Z","created_at":"2026-08-25T18:32:29.469657Z","updated_at":"2026-08-30T13:46:13.118488Z","company_name":"Field AI","company_slug":"field-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=field.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/abba779f-44e8-4ffd-8b33-f3c5486ad2bb"},{"id":"017828a4-b1c3-40ba-80bf-94bd8d9cacc2","company_id":"f8de0913-0ef7-4e72-a9cf-81f8513ec624","title":"Software Engineer, DevOps","slug":"software-engineer-devops-e13f556d","description":"FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.\n","salary_min":115000,"salary_max":170000,"location":"Irvine, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["robotics","infrastructure","devops","platform"],"apply_url":"https://jobs.lever.co/field-ai/b6a02c7e-8726-47b7-b0b0-899644613c47/apply","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-01T00:42:16.075Z","expires_at":"2026-09-29T13:46:13.324635Z","created_at":"2026-08-25T18:32:29.478451Z","updated_at":"2026-08-30T13:46:13.457753Z","company_name":"Field AI","company_slug":"field-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=field.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/017828a4-b1c3-40ba-80bf-94bd8d9cacc2"},{"id":"a56eaf81-56b7-4543-8da3-ecc004f69a27","company_id":"fb64b18b-041a-43de-886d-f506d1ab94a4","title":"Staff AI Platform Engineer","slug":"staff-ai-platform-engineer-16c2ae8d","description":"Our Purpose \n At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.\n About Us \n SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.\n Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.\n What Are We Looking For? \n We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.\n As a Staff AI Platform Engineer, you will be tasked with serving as a hands-on builder of SentinelOne's enterprise AI platform, including the Gateway, Harness, and Semantic Layers that every internal AI use case runs on top of. You will write the production code that governs, observes, secures, and scales AI activity across the company, working closely with the Sr. Director of Enterprise AI Platform Engineering and the rest of the platform team to take the architecture from design into running infrastructure.\n What Will You Do?\n Primary responsibilities include:\n \n Design, build, and operate components of the AI Gateway including centralized identity and authentication/authorization, token budgeting, DLP and content guardrails, multi-model routing and failover, MCP allow-listing, and request-level audit logging.\n Build and maintain pieces of the Harness layer including agent orchestration (LangGraph or equivalent), prompt construction and context management, memory and state handling across multi-turn interactions, and model abstraction across providers such as AWS Bedrock and Google Vertex.\n Develop and extend production services in Python (FastAPI) and pydantic.ai for LLM-powered components, and contribute to the React/TypeScript surfaces that expose platform capabilities to internal teams.\n Implement MCP/tool wiring for internal and SaaS-embedded agents, ensuring every caller regardless of origin passes through the same policy controls.\n Contribute to the Claude and Gemini Enterprise plugin framework by building, testing, and hardening role-based skills and agents, and help mature the pipeline for how plugins are authored, evaluated, and deployed.\n Instrument the platform for observability including metrics, tracing, and audit trails, and participate in on-call and operational support for platform services.\n Write clear technical documentation and participate in architecture and code reviews, holding a high bar for quality, security, and maintainability.\n Partner with engineers across Enterprise Data, Enterprise Apps, Product Development, and Infosec to integrate the platform with governed data sources and shared architectural contracts.\n Work with the Sr. Director and model evaluation tooling to help close the loop between evaluation results and model selection, prompt tuning, and routing decisions.\n \n What Skills and Knowledge Will You Bring?\n Ideal candidates will have:\n \n Hands-on experience building production services that sit in front of multiple consumers such as an API gateway, internal platform, or data platform, with real exposure to authentication/authorization, rate limiting, observability, or audit logging; direct AI and LLM platform experience is a strong plus but not required.\n Practical experience with agent orchestration frameworks (LangGraph or equivalent) and calling hosted model providers such as AWS Bedrock or Google Vertex, with a working understanding of how context windows, memory, and tool-calling actually behave in production, not just conceptually.\n 5 or more years of professional software engineering experience; with experience building or operating AI and ML infrastructure in a production environment.\n Strong Python skills, ideally with FastAPI, and comfort picking up frameworks like pydantic.ai for LLM-powered components; working fami","salary_min":156000,"salary_max":215000,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"lead","tags":["security","llm","cloud","api-design","agents","platform"],"apply_url":"https://www.sentinelone.com/jobs/?gh_jid=7805775003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-28T19:03:57Z","expires_at":"2026-09-29T13:49:25.573237Z","created_at":"2026-07-29T14:19:32.261733Z","updated_at":"2026-08-30T13:49:25.703259Z","company_name":"SentinelOne","company_slug":"sentinelone","company_logo_url":"https://www.google.com/s2/favicons?domain=sentinelone.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a56eaf81-56b7-4543-8da3-ecc004f69a27"},{"id":"306fef73-7a37-4720-acae-c8c1e8a45b50","company_id":"6e93ae2d-dd17-4c38-8893-b9b6fe72a1b2","title":"Engineering Manager, Platform","slug":"engineering-manager-platform-b23a768a","description":"About Norm Ai\nNorm Ai, the agentic law company, has a client base with a combined $30 trillion in assets under management.\n\n\nNorm Ai pioneered Legal Engineering, the process that empowers lawyers to build and supervise domain-specific AI agents with Norm’s proprietary suite of no-code software tools. Norm Ai technology is deployed inside many of the largest and most consequential institutions in the world.\n\n\nNorm Ai is also the technology behind Norm Law, LLP, a separate but affiliated AI-native law firm built for the era of agentic AI. Norm Law’s attorneys advise leading institutions across private funds, private equity, venture capital, real estate, registered funds, and financial regulation, using the same legal intelligence platform that powers Norm Ai’s products.\n\nAI Fluency:\nNorm Ai expects all team members to be fluent in AI. Successful candidates actively use AI in their day-to-day work to support thinking, creation, and problem-solving. They use it to improve the quality and speed of their work and to continuously refine how work gets done end-to-end.\n\nCandidates should be prepared to demonstrate and discuss their AI usage throughout the interview process, including concrete examples of tools, workflows, and outcomes. We look for practical, hands-on experience, not theoretical familiarity.\n\n\n\n\nTHIS ROLE\n\nAs an Engineering Manager on our Platform team, you will lead and grow a team of engineers who build the shared systems and infrastructure that power our products. As the consistent thread in your engineers’ careers, you invest in their growth and development. You lead through breadth of context rather than architectural ownership, partnering with the technical directors and senior engineers who own system design. While deep technical fluency is required, your leverage comes primarily through people, process, and judgment rather than writing production code.\n\n\n\n\nYOU WILL\n\n - Hire, grow, and retain excellent engineers, owning their career development, performance reviews, and compensation input.\n\n - Coach engineers with clear, direct feedback that accelerates their growth.\n\n - Create clarity around priorities, goals, and execution across multiple workstreams, drawing on technical fluency and understanding of business objectives.\n\n - Match engineers to the projects that align with their career goals, technical strengths, and growth trajectories.\n\n - Own the hiring bar and candidate experience, running interview loops, trainings, and debriefs.\n\n - Assist with team planning, execution, code quality, delivery, and retrospectives to improve team operations.\n\n - Drive how the team applies AI across the software lifecycle to raise developer productivity.\n\n - Take on targeted, high-priority engineering work that keeps a delivery on track or takes weight off the team.\n\n - Keep engineering coherent, spotting opportunities to consolidate and helping teams converge on shared approaches.\n\n\n\n\nSKILLS \u0026 EXPERIENCE: CORE\n\n - 4+ years of experience as an engineering manager.\n\n - Proven track record of managing and developing high-performing engineers.\n\n - Strong understanding of modern software development practices and system design, sufficient to guide direction across platform domains and to earn the trust of senior engineers, even outside your area of specialization.\n\n - Experience driving execution in fast-moving, high-growth environments.\n\n - Strong stakeholder management and cross-functional collaboration skills.\n\n - Sound business judgment and excellent communication.\n\n - Experience in regulated or compliance-heavy domains.\n\n\n\n\nSKILLS \u0026 EXPERIENCE: PLUSES\n\n - Experience leading or building cloud infrastructure, platform, or shared-services systems.\n\n - Exposure to the demands of AI/ML workloads, such as LLM-based applications or data-intensive products.\n\n - Background in startups or high-growth environments.\n\n\n\n\nWHAT SUCCESS LOOKS LIKE\n\n30 Days\n\n - Build strong relationships with your reports and your partners across engineering leadership.\n\n - Develop a working understanding of Norm’s platform systems, team structure, and current priorities.\n\n - Establish clear 1:1 and communication rhythms with each engineer.\n\n60 Days\n\n - Partner with technical leads on aligning people with the work where they’ll have the greatest impact.\n\n - Build a concrete growth plan with each engineer.\n\n - Understand the initiatives your engineers support and how they fit together.\n\n90 Days\n\n - Demonstrate consistent, predictable team delivery, with clear ownership and a healthy on-call and quality bar.\n\n - Establish yourself as a trusted partner to technical leadership.\n\n - Run interview loops that consistently reflect Norm’s hiring bar.\n\n\n\n\nCOMP AND BENEFITS\n\n$240,000 - $280,000 per year + equity\n\nThe range displayed reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by job-related skills, experience, and relevant education or training. This rang","salary_min":240000,"salary_max":280000,"location":"New York, NY","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["agents","llm","cloud","platform"],"apply_url":"https://jobs.ashbyhq.com/norm-ai/f5bff27b-0028-417f-8acf-7f84fbdf4ead/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-21T14:52:02.813Z","expires_at":"2026-09-29T13:36:39.486211Z","created_at":"2026-07-22T14:06:47.974079Z","updated_at":"2026-08-30T13:36:39.620376Z","company_name":"Norm AI","company_slug":"norm-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=norm.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/306fef73-7a37-4720-acae-c8c1e8a45b50"},{"id":"0ddc62f3-b7a3-4b38-b808-5318e7f36523","company_id":"a0000000-0000-0000-0000-000000000003","title":"AI Infrastructure Engineer, Sandbox Platform","slug":"ai-infrastructure-engineer-sandbox-platform-b6e62cd2","description":"AI Infrastructure Engineer - Agent Sandbox Platform \n As a Software Engineer on the AI Infrastructure team, you'll help build and evolve our agent sandboxing platform — the secure, high-performance code execution layer powering our agentic workflows, deployed across both internal and customer-managed environments. This is a role for someone who cares as much about the experience of the engineers and researchers using this system as they do about the kernel internals underneath it.\n You'll combine deep systems expertise (isolation, virtualization, performance) with an obsession for developer experience: clean APIs, clear error messages, good docs, and a client library that feels well-crafted. You'll partner closely with internal teams to understand how they use the platform, debug their issues, and shape a roadmap that balances immediate needs with long-term architecture.\n You will:\n \n Design and build the sandboxing platform, client library, and API surface for secure code execution across containerized and virtualized environments\n Ensure strong isolation, security, and reproducibility of execution across user sessions and workloads\n Optimize for cold-start latency, memory footprint, and resource utilization at scale\n Drive down error rates through systematic debugging, monitoring, and proactive fixes\n Partner closely with internal teams using the platform to understand their needs, debug issues, and build tooling that serves their use cases\n Respond to incidents and production issues with urgency, conducting root cause analysis and implementing preventive fixes\n Help develop and maintain a product roadmap for sandboxing, balancing immediate needs against long-term architectural investment\n Lead architecture reviews and own projects end-to-end, from design through deployment, in fast-paced cross-functional settings\n \n Ideally you'd have:\n \n 4+ years of experience building high-performance systems software, with meaningful time spent maintaining libraries, SDKs, or developer-facing APIs\n Deep understanding of Linux internals: process isolation, memory management, cgroups, namespaces, etc.\n Experience with containerization and virtualization technologies (e.g., Docker, Firecracker, gVisor, QEMU, Kata Containers)\n Proficiency in a systems programming language such as Go, Rust, or C/C++\n A track record of obsessing over developer experience — API design, error propagation, documentation, and the small details that make a library feel well-crafted\n Comfort working across infrastructure layers, from kernel modules to orchestration frameworks (e.g., Kubernetes)\n Strong debugging skills and the ability to navigate performance/security tradeoffs in production systems\n Comfort with ambiguity, and the ability to context-switch between reactive incident work and proactive product development\n \n Nice to haves:\n \n Experience as a founder or early engineer at an infrastructure-focused startup, owning a product end-to-end\n Familiarity with LLM agents and agent frameworks (e.g., OpenHands, Agent2Agent, MCP)\n Experience running secure workloads in multi-tenant or untrusted environments (e.g., FaaS, CI sandboxes, remote notebooks)\n Exposure to snapshotting and restore techniques (e.g., CRIU, VM snapshots, overlayfs)\n Open-source contributions to systems or developer-tools projects\n History of on-call/incident response for production systems\n Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. \n Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:\n $180,000 — $225,000 USD \n PLEASE NOTE:  Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. \n About Us: \n At Scale, our mission is to develop reliable AI systems for the world's most important decisi","salary_min":180000,"salary_max":225000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","api-design","llm","infrastructure","platform"],"apply_url":"https://job-boards.greenhouse.io/scaleai/jobs/4716453005","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-20T17:35:24Z","expires_at":"2026-09-29T13:31:35.643417Z","created_at":"2026-07-22T14:01:33.136271Z","updated_at":"2026-08-30T13:31:35.79157Z","company_name":"Scale AI","company_slug":"scale-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=scale.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/0ddc62f3-b7a3-4b38-b808-5318e7f36523"},{"id":"7a9c3c59-7703-4bde-a302-10e099cde6b9","company_id":"fb64b18b-041a-43de-886d-f506d1ab94a4","title":"Senior Staff AI Platform Engineer","slug":"senior-staff-ai-platform-engineer-093ce67a","description":"Our Purpose \n At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.\n About Us \n SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.\n Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.\n What Are We Looking For? \n We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.\n As a Senior Staff AI Platform Engineer, you will be tasked with serving as a hands-on builder of SentinelOne's enterprise AI platform, including the Gateway, Harness, and Semantic Layers that every internal AI use case runs on top of. You will write the production code that governs, observes, secures, and scales AI activity across the company, working closely with the Sr. Director of Enterprise AI Platform Engineering and the rest of the platform team to take the architecture from design into running infrastructure.\n What Will You Do? \n Primary responsibilities include:\n \n Design, build, and operate components of the AI Gateway including centralized identity and authentication/authorization, token budgeting, DLP and content guardrails, multi-model routing and failover, MCP allow-listing, and request-level audit logging.\n Build and maintain pieces of the Harness layer including agent orchestration (LangGraph or equivalent), prompt construction and context management, memory and state handling across multi-turn interactions, and model abstraction across providers such as AWS Bedrock and Google Vertex.\n Develop and extend production services in Python (FastAPI) and pydantic.ai for LLM-powered components, and contribute to the React/TypeScript surfaces that expose platform capabilities to internal teams.\n Implement MCP/tool wiring for internal and SaaS-embedded agents, ensuring every caller regardless of origin passes through the same policy controls.\n Contribute to the Claude and Gemini Enterprise plugin framework by building, testing, and hardening role-based skills and agents, and help mature the pipeline for how plugins are authored, evaluated, and deployed.\n Instrument the platform for observability including metrics, tracing, and audit trails, and participate in on-call and operational support for platform services.\n Write clear technical documentation and participate in architecture and code reviews, holding a high bar for quality, security, and maintainability.\n Partner with engineers across Enterprise Data, Enterprise Apps, Product Development, and Infosec to integrate the platform with governed data sources and shared architectural contracts.\n Work with the Sr. Director and model evaluation tooling to help close the loop between evaluation results and model selection, prompt tuning, and routing decisions.\n \n What Skills and Knowledge Will You Bring?\n Ideal candidates will have:\n \n Hands-on experience building production services that sit in front of multiple consumers such as an API gateway, internal platform, or data platform, with real exposure to authentication/authorization, rate limiting, observability, or audit logging; direct AI and LLM platform experience is a strong plus but not required.\n Practical experience with agent orchestration frameworks (LangGraph or equivalent) and calling hosted model providers such as AWS Bedrock or Google Vertex, with a working understanding of how context windows, memory, and tool-calling actually behave in production, not just conceptually.\n 8 or more years of professional software engineering experience; with experience building or operating AI and ML infrastructure in a production environment.\n Strong Python skills, ideally with FastAPI, and comfort picking up frameworks like pydantic.ai for LLM-powered components; work","salary_min":184000,"salary_max":253000,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"lead","tags":["cloud","security","agents","api-design","llm","platform"],"apply_url":"https://www.sentinelone.com/jobs/?gh_jid=7805759003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-17T04:03:08Z","expires_at":"2026-09-29T13:49:23.970183Z","created_at":"2026-07-18T14:20:10.111105Z","updated_at":"2026-08-30T13:49:24.099948Z","company_name":"SentinelOne","company_slug":"sentinelone","company_logo_url":"https://www.google.com/s2/favicons?domain=sentinelone.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/7a9c3c59-7703-4bde-a302-10e099cde6b9"},{"id":"8f8283b2-60fb-44f3-a9cb-6551d2073829","company_id":"d3f1a010-47af-48d2-8b4e-a5953078daac","title":"Senior Software Engineer, AI Platform","slug":"senior-software-engineer-ai-platform-99369821","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. We have 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\nHarvey’s products all depend on a shared AI foundation: the model layer and agent infrastructure that determine the quality of work our agents deliver. Legal is one of the hardest domains for AI: documents run to hundreds of pages, matters can span millions of files, and there is zero margin for error on accuracy.\n\nThe AI Platform team builds the foundation that every product and agent team at Harvey builds upon. This team is early and there’s a lot to build: model routing, agent architecture, context management, evals. Your work here sets the ceiling for what Harvey’s AI can do.\n\n\n\n\nREPRESENTATIVE PROJECTS\n\n - Context Engineering \u0026 Agent Infrastructure. Build the platform-level systems for context management, session state, and memory that all of Harvey’s agents and products rely on.\n\n - Model Integration \u0026 Routing. Own the infrastructure that lets Harvey onboard new foundation models fast and route to the right one for every task - a capability every product team depends on.\n\n - Evaluation Infrastructure. Build the shared eval tooling and frameworks that let every team across Harvey measure and improve AI quality systematically.\n\n - Shared Abstractions. Create the SDKs, platform primitives, and developer tooling that make it dramatically easier for product teams to ship AI-powered features.\n\n\n\n\nWHAT YOU'LL DO\n\n - Design and build abstractions and platform-level systems that improve all of Harvey’s agentic products.\n\n - Own infrastructure for model integration, routing, and evaluation that helps Harvey choose and deploy the right foundation model for any given context.\n\n - Build evaluation frameworks and tooling that let every team across Harvey iterate on AI quality effectively.\n\n - Partner closely with product engineering teams, PMs, and design to launch cutting-edge AI products.\n\n - Evaluate, prototype, and integrate the latest advancements in AI and agentic systems as they emerge.\n\n\n\n\nWHAT YOU HAVE\n\n - 5+ years of experience building backend systems, with at least 1+ year focused on AI/ML engineering. Staff candidates will typically have 8+ years and a track record of technical leadership across teams.\n\n - Experience building and shipping multi-model or multi-provider AI systems in production.\n\n - Familiarity with context management, session state, or memory systems in AI or distributed systems. You’ve thought about what the model sees and why it matters.\n\n - A track record of building internal platforms, SDKs, or shared infrastructure that other engineering teams actually adopted - and an understanding of why developer experience matters as much as raw capability.\n\n - Strong judgment about abstractions. Opinionated about good design but pragmatic about shipping incrementally.\n\n - Excitement about agentic AI and the infrastructure challenges of making autonomous systems reliable when the stakes are real.\n\n - A bias toward full ownership: you navigate ambiguity well and don’t wait for a roadmap to start solving problems.\n\n - Bonus: experience building evaluation frameworks, working with agent/function-calling architectures, familiarity with legal or other high-stakes professional services domains, or time at early-stage or hyper-growth startups where the underlying technology changes regularly.\n\n\n\n\nCOMPENSATION\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#LI-AK1\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 informat","salary_min":193400,"salary_max":290000,"location":"New York, NY","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"senior","tags":["distributed-systems","generative-ai","agents","platform"],"apply_url":"https://jobs.ashbyhq.com/harvey/d00dc18e-862b-4391-a3f1-5cd49c07f8e7/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-16T20:45:05.711Z","expires_at":"2026-09-29T13:32:42.481364Z","created_at":"2026-07-18T14:02:41.195955Z","updated_at":"2026-08-30T13:32:42.621563Z","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/8f8283b2-60fb-44f3-a9cb-6551d2073829"},{"id":"957356c6-52a3-4ce6-923b-2f1d69404095","company_id":"d3f1a010-47af-48d2-8b4e-a5953078daac","title":"Staff Software Engineer, AI Platform","slug":"staff-software-engineer-ai-platform-bba4d72a","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. We have 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\nHarvey’s products all depend on a shared AI foundation: the model layer and agent infrastructure that determine the quality of work our agents deliver. Legal is one of the hardest domains for AI: documents run to hundreds of pages, matters can span millions of files, and there is zero margin for error on accuracy.\n\nThe AI Platform team builds the foundation that every product and agent team at Harvey builds upon. This team is early and there’s a lot to build: model routing, agent architecture, context management, evals. Your work here sets the ceiling for what Harvey’s AI can do.\n\n\n\n\nREPRESENTATIVE PROJECTS\n\n - Context Engineering \u0026 Agent Infrastructure. Build the platform-level systems for context management, session state, and memory that all of Harvey’s agents and products rely on.\n\n - Model Integration \u0026 Routing. Own the infrastructure that lets Harvey onboard new foundation models fast and route to the right one for every task - a capability every product team depends on.\n\n - Evaluation Infrastructure. Build the shared eval tooling and frameworks that let every team across Harvey measure and improve AI quality systematically.\n\n - Shared Abstractions. Create the SDKs, platform primitives, and developer tooling that make it dramatically easier for product teams to ship AI-powered features.\n\n\n\n\nWHAT YOU’LL DO\n\n - Design and build abstractions and platform-level systems that improve all of Harvey’s agentic products.\n\n - Own infrastructure for model integration, routing, and evaluation that helps Harvey choose and deploy the right foundation model for any given context.\n\n - Build evaluation frameworks and tooling that let every team across Harvey iterate on AI quality effectively.\n\n - Partner closely with product engineering teams, PMs, and design to launch cutting-edge AI products.\n\n - Evaluate, prototype, and integrate the latest advancements in AI and agentic systems as they emerge.\n\n\n\n\nWHAT YOU HAVE\n\n - 8+ years of experience building backend systems, with at least 1+ year focused on AI/ML engineering and a track record of technical leadership across teams.\n\n - Experience building and shipping multi-model or multi-provider AI systems in production.\n\n - Familiarity with context management, session state, or memory systems in AI or distributed systems. You’ve thought about what the model sees and why it matters.\n\n - A track record of building internal platforms, SDKs, or shared infrastructure that other engineering teams actually adopted - and an understanding of why developer experience matters as much as raw capability.\n\n - Strong judgment about abstractions. Opinionated about good design but pragmatic about shipping incrementally.\n\n - Excitement about agentic AI and the infrastructure challenges of making autonomous systems reliable when the stakes are real.\n\n - A bias toward full ownership: you navigate ambiguity well and don’t wait for a roadmap to start solving problems.\n\n - Bonus: experience building evaluation frameworks, working with agent/function-calling architectures, familiarity with legal or other high-stakes professional services domains, or time at early-stage or hyper-growth startups where the underlying technology changes regularly.\n\n\n\n\nCOMPENSATION RANGE\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#LI-AK1\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, pr","salary_min":231000,"salary_max":340000,"location":"New York, NY","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"lead","tags":["generative-ai","agents","distributed-systems","platform"],"apply_url":"https://jobs.ashbyhq.com/harvey/ebf00b72-4693-4894-b540-5f82a60fdbdc/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-16T20:44:57.493Z","expires_at":"2026-09-29T13:32:40.899603Z","created_at":"2026-07-18T14:02:38.772188Z","updated_at":"2026-08-30T13:32:41.041914Z","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/957356c6-52a3-4ce6-923b-2f1d69404095"},{"id":"2696028b-07eb-4b15-acc4-51b1c33eaf97","company_id":"ec4a8bb4-3840-4054-8ccd-77e81db037af","title":"Senior Software Engineer - Platform","slug":"senior-software-engineer-platform-8923a423","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 a highly motivated Senior Software Engineer - Platform to join our Platform Engineering team. You will play a critical role in designing, building, and maintaining the core platform features, frameworks, and development tools used to build enterprise-scale AI applications. Your work will directly support application development, platform scalability, and engineering productivity across the company.\n Responsibilities: \n \n Design, build, and maintain core platform services, frameworks, and developer tools used across an enterprise-scale AI platform.\n Design and maintain robust automation for testing, integration, and deployment across a distributed development organization.\n Develop and maintain infrastructure automation to provision, manage, and improve cloud environments reliably and consistently.\n Build and maintain internal tools and services that improve engineering productivity, developer experience, and operational efficiency.\n Support engineering workflows, release automation, version control integration, code validation, and platform rule enforcement.\n Improve the reliability, scalability, maintainability, and operational quality of platform services, frameworks, and automation systems.\n Partner closely with software engineering and product management teams to gather requirements and deliver high-quality platform capabilities.\n Own features end-to-end, including design, documentation, implementation, testing, maintenance, and mentoring engineers on engineering standards and best practices.\n \n Qualifications: \n \n B.S./M.S. in Computer Science, Engineering, or a related technical discipline.\n 3+ years of backend, platform, DevOps, infrastructure, or distributed systems engineering experience in production environments. \n Strong hands-on experience with Java and one or more scripting or automation languages such as Python, Shell, or Groovy. \n Experience designing, maintaining, and improving CI/CD pipelines, build systems, release automation, and testing workflows.\n Experience with infrastructure as code, preferably Terraform, and cloud environment provisioning or management.\n Familiarity with Go for infrastructure tooling, automation, or cloud platform development.\n Experience designing and developing scalable platform services, frameworks, APIs, developer-facing tools, or engineering workflow systems.\n Hands-on understanding of software development principles, design patterns, testing, debugging, observability, and performance analysis.\n Systematic problem-solving approach with a strong sense of ownership, independence, and operational accountability.\n Strong communication and interpersonal skills, with the ability to work across engineering, infrastructure, release, and product teams.\n C3 AI provides excellent benefits, a competitive compensation package and generous equity plan. \n California Base Pay Range\n $145,000 — $198,000 USD \n C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.","salary_min":145000,"salary_max":198000,"location":"Redwood City, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","generative-ai","distributed-systems","platform"],"apply_url":"https://c3.ai/job-description/8637025002?gh_jid=8637025002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-16T17:26:55Z","expires_at":"2026-09-29T13:40:13.791475Z","created_at":"2026-07-18T14:10:26.99593Z","updated_at":"2026-08-30T13:40:13.931974Z","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/2696028b-07eb-4b15-acc4-51b1c33eaf97"},{"id":"f12c12c4-a7d1-45a9-aeb2-8c7854cf805a","company_id":"332b7698-676b-4a3e-8b02-81b1195c5af6","title":"Staff Software Engineer, AI Native Web Platform","slug":"staff-software-engineer-ai-native-web-platform-33e5b1da","description":"Staff Software Engineer, AI-Native Web Platform \n GAQ327R228 \n About Us: \n The Web Platform team at Databricks builds and owns the public-facing web experiences that represent Databricks to the world. We are rebuilding the platform from the ground up, AI-native from the start, and pioneering an agentic SDLC as our operating model. \n The Role: \n As Staff Software Engineer on the Web Platform team, reporting to the Director of Engineering, you will own the platform layer that the rest of the team builds on: web framework, design system, CMS, infrastructure, CI/CD pipelines, AI-enabled translation, and SDLC agents.  \n This is a rare opportunity to design a web platform for an AI-native world from the ground up. The north star architecture is being defined now and you will be a primary author of it. You will partner with technical leaders across web and marketing engineering, and set the standard for what AI-native platform engineering looks like in practice. \n The impact you’ll have : \n \n Define the technical roadmap for the web platform: component systems, rendering architecture, CMS, CI/CD pipelines, and developer tooling, built AI-native from the start.  \n Influence technical leaders across the organization on shared architectural decisions and contribute to the broader north star for AI-native engineering at Databricks.  \n Pioneer an AI-native SDLC by applying agentic unlocks across code generation, testing, review, deployment, and production monitoring.  \n Define the evaluation frameworks, guardrails, and feedback loops that make agentic workflows reliable and production-grade.  \n Mentor and grow engineers on the team, setting the standard for what AI-native thinking and execution looks like in practice. \n \n What we look for: \n \n 12+ years of software engineering experience, with a strong track record of technical leadership and impact. \n 3+ years of engineering leadership experience, serving as the technical owner for the software systems owned by your team. \n Proven track record as a technical leader of a web platform, with direct ownership across design systems, rendering frameworks, and understanding of edge delivery, CI/CD and infrastructure \n Deep hands-on expertise across the full web stack like React, TypeScript, Node.js. \n Demonstrated ability to make and execute multi-layer architectural decisions on a live production platform \n Experience sequencing and executing frontend framework migrations without disrupting production  \n A clear point of view on AI-native software development and a track record of building toward it \n Familiarity with agentic systems or LLM-powered tooling is a strong plus. \n Strong ability to influence technical leaders and drive alignment across engineering and business stakeholders \n History of driving technical transformation with rigor and execution discipline: stack consolidation, or platform-level standards adoption at scale \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 Zone 1 Pay Range\n $198,200 — $272,600 USD \n About Databricks \n Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT\u0026T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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","salary_min":198200,"salary_max":272600,"location":"Mountain View, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["computer-graphics","llm","code-generation","agents","platform"],"apply_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8635188002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-15T20:30:46Z","expires_at":"2026-09-29T13:32:35.253563Z","created_at":"2026-07-16T14:02:35.024216Z","updated_at":"2026-08-30T13:32:35.398705Z","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/f12c12c4-a7d1-45a9-aeb2-8c7854cf805a"},{"id":"f115ce97-f6c4-4c2d-9602-6a9e48528e12","company_id":"b6db41bc-ba14-4906-b2f7-a3ce9289a346","title":"Software Engineer, AI Platform","slug":"software-engineer-ai-platform-305af12e","description":"WHO WE ARE\n\nNotion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.\n\n\n\nNotinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.\n\n\n\n\nABOUT THE ROLE:\n\nMillions of people use Notion — and this number is increasing every day. That means millions of people trust us to deliver a fast, reliable, and secure experience, and we value this more than anything. We want to keep earning trust, while also continuing to amaze our users with the tools they can build in Notion.\n\nThe AI Platform team is responsible for building the shared foundations that let Notion ship AI products quickly and operate them safely at scale. You’ll join a team of talented engineers focused on making speed and quality compatible: reliability and availability through provider changes, quality and correctness systems like evals and release gates, observability that makes failures explainable, and shared primitives for model integrations, context management, long-running actions, and cost/performance tradeoffs. Notion’s AI platform is vital to helping product teams move faster with production-grade guardrails as models, providers, and AI capabilities rapidly evolve.\n\nThis role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. \n\n\n\n\nWHAT YOU'LL ACHIEVE:\n\n - You'll own and play a pivotal role in the prototyping, development and scaling of systems and core AI platform primitives.\n\n - You’ll partner closely with product teams to provide paved paths and production-ready guardrails that help new AI features ship faster with less duplicated work.\n\n - You’ll work across infrastructure, shared libraries, APIs, and product integration points to make AI platform capabilities easy to adopt and high-leverage across Notion.\n\n - You’ll operate critical AI systems in production, using observability and diagnostics to understand provider/model behavior, debug failures, improve latency and cost, and evolve systems with minimal user disruption.\n\n - You’ll help Notion safely adopt new models, providers, and AI capabilities through versioning, controlled rollouts, compatibility layers, and clear quality/reliability gates.\n\n\n\n\nSKILLS YOU'LL NEED TO BRING: \n\n - Passion for AI systems at scale: You’ve worked on LLM, ML platform, data, or infrastructure teams that own critical shared systems. You understand the challenges of scaling reliability, latency, cost, and quality as usage and model complexity grow. You care deeply about building platforms that are dependable, efficient, and easy for other engineers to use.\n\n - Adaptable and curious: You like going deep on how systems behave in practice, especially when models, providers, and product requirements are changing quickly. You’re eager to use AI tools to work smarter and are willing to move across backend, infrastructure, libraries, and product code when that’s what the problem requires.\n\n - Extreme ownership: You’re comfortable working across ambiguous problem spaces, aligning stakeholders around a clear path forward, and driving execution with accountability. You take ownership of platform outcomes including reliability, quality, adoption, and operational follow-through beyond team boundaries.\n\n - Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose ambiguous system behavior, debug across layers, and work toward clean, pragmatic solutions by yourself or with teammates. You’re comfortable asking for help when you get stuck.\n\n - Pragmatic and business-oriented: You understand that AI platform work is full of tradeoffs across quality, latency, cost, reliability, and speed of execution. You prioritize based on product and business impact, balancing craft with urgency and operational simplicity.\n\n\n\n\nNICE TO HAVES:\n\n - 2-4 years of experience as a Software Engineer\n\n - Experience with applied AI product development (prompting, evals, model integrations, or quality measurement).\n\n - You've built out and scaled data processing pipe","salary_min":180000,"salary_max":201000,"location":"San Francisco, CA","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"junior","tags":["llm","data-pipeline","mlops","agents","platform"],"apply_url":"https://jobs.ashbyhq.com/notion/a9d4a192-d31c-48d2-8156-e2a75d98eec1/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-14T14:23:31.706Z","expires_at":"2026-09-29T13:33:43.574514Z","created_at":"2026-07-15T14:04:39.064153Z","updated_at":"2026-08-30T13:33:43.709919Z","company_name":"Notion","company_slug":"notion","company_logo_url":"https://www.google.com/s2/favicons?domain=notion.so\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/f115ce97-f6c4-4c2d-9602-6a9e48528e12"},{"id":"4edacd0b-2079-467e-bac5-dbf2328f9b60","company_id":"6195a3ea-00dd-46bf-a128-51a98a52d538","title":"Software Engineer, AI Platform","slug":"software-engineer-ai-platform-eb8bf33a","description":"About Mixpanel \n Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com .\n About the Team \n The AI Platform team is a newly formed team at the center of Mixpanel's AI-first analytics vision. With a greenfield charter, we're building the infrastructure that accelerates and transforms AI product development at Mixpanel, both internally and for our customers. \n We provide the tools to improve AI products, enabling internal teams and customer agents to build things that were previously unimaginable.  We build shared infrastructure that is essential for developing AI features with confidence and speed, and that gives every agent the tools, context, and quality guarantees to act autonomously on behalf of users.\n Some examples of what we are building:\n \n Agent Optimization Framework: A system that optimizes AI products for quality, speed, and cost, using metrics from production and evals, given the context of the invocation.\n AI Agent Integrations and Accessibility: Products and tools that bring the power of Mixpanel to wherever it is most effective for our customers, including a Mixpanel slackbot, MCP, and a public skills library.\n AI Engine: Services that centralize core AI and LLM functionality at Mixpanel in order to accelerate AI development, compound the value of AI efforts, and provide customers with a consistent experience.\n \n Role Overview \n We are looking for a driven Software Engineer to join our AI Platform team. You will be responsible for building the scalable, secure, and reliable infrastructure that accelerates AI agent development.  You will be a leader and key contributor in a small, fast paced, newly formed team with a mandate to empower AI development across the company.\n Responsibilities \n \n Platform Architecture: Design and develop the core backend services, APIs, and microservices that enable product teams to easily and securely leverage AI models.\n Agent Orchestration: Build scalable frameworks and tools to support multi-step agent workflows, including task decomposition, tool invocation, and persistent memory.\n Evaluation \u0026 Reliability: Build robust evaluation systems to continuously measure reasoning quality, hallucination rates, and task success.\n Operational Excellence: Architect high-performance serving infrastructure with strict guarantees around latency, throughput, cost-efficiency, and error handling.\n Observability \u0026 MLOps: Ensure comprehensive monitoring, structured logging, and distributed tracing across all deployed AI models.\n Collaboration: Partner with designers, product managers, and other engineers to build self-serve infrastructure that transforms our AI development cycle.\n Leadership: Advocate for software engineering best practices, conduct thorough design and code reviews, and mentor junior engineers.\n \n We're Looking For Someone Who Has \n \n Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience\n 2+ years of professional software engineering experience\n Strong full-stack fundamentals: you're comfortable working across frontend, backend, and data layers\n Excellent debugging and technical investigation skills\n Strong technical communication, ideally with experience collaborating in an asynchronous remote environment\n Ability to move fast and iterate in ambiguous environments: you take ownership and focus on delivering value to users\n Hands on experience integrating and orchestrating LLMs and agents\n Experience building AI native systems, including iteratively improving and scaling them in production\n Familiarity with techniques used to optimize AI agents: eval frameworks, agent tooling, vector search engines, context engineering, and prompt engineering.\n A desire to be on the forefront of leveraging AI to drive product improvement, observability and product analytics at scale.\n Compensation \n The amount listed below is the total target cash compensation (TTCC) and includes base compensation and variable compensation in the form of either a company bonus or commissions. Variable compensation type is determined by your role and level. In addition to the cash compensation provided, this position is also eligible for equity consideration and other benefits including medical, vision, and dental insurance coverage. You can view our benefits offerings here . Our salary ranges are determined by role and level and are benchmarked to the SF Bay Area Technology data cut released by Radford, a global compensation database. The range displayed represents the minimum and maximum TTCC for new hire salaries for the position across all of our US locations. To stay on top of market conditions, we refresh our salary ranges twice a year so these","salary_min":188000,"salary_max":254000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"junior","tags":["llm","mlops","microservices","agents","search","cloud","platform"],"apply_url":"https://job-boards.greenhouse.io/mixpanel/jobs/8064216","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-14T13:23:06Z","expires_at":"2026-09-29T13:50:30.1912Z","created_at":"2026-07-28T14:20:41.442706Z","updated_at":"2026-08-30T13:50:30.318224Z","company_name":"Mixpanel","company_slug":"mixpanel","company_logo_url":"https://www.google.com/s2/favicons?domain=mixpanel.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/4edacd0b-2079-467e-bac5-dbf2328f9b60"},{"id":"21fc5b88-2cc6-41e7-aabb-4eb32c4e3b24","company_id":"6ea0f41a-b13e-481a-b410-5195f391f939","title":"Staff Platform Engineer, Service Infrastructure","slug":"staff-platform-engineer-service-infrastructure-e2c5b795","description":"About the Role \n Together AI is hiring a Staff Platform Engineer to join the Product Foundations engineering organization and drive its service infrastructure strategy.\n Product Foundations builds and operates Together’s mission-critical product platforms that support all cloud products, including API Platform (non-Inference), web UI Platform, Billing, and customer-facing IAM. These services sit on the critical path for customers and internal systems.\n This is a hands-on Staff role focused on evolving Product Foundations’ core infrastructure strategy from the inside: understanding service team needs, turning repeated infrastructure problems into reusable patterns, and coordinating across platform owners so Product Foundations services are reliable, repeatable, and built on the right company-wide foundations.\n Responsibilities \n \n Own the technical direction for service infrastructure within Product Foundations, including Kubernetes, AWS, Terraform, CDNs, ALBs, DNS, IAM, service networking, and related operational patterns.\n Up-level existing Product Foundations services by improving reliability, operability, deployment safety, infrastructure consistency, and production readiness.\n Partner deeply with API Platform and UI Platform on networking, DNS, CDN, load balancing, delivery, and gateway patterns for critical customer-facing interfaces.\n Work closely with Infrastructure, Networking, and Security teams to bring company-wide platform standards into Product Foundations and contribute PF requirements back into shared frameworks.\n Help drive cross-company infrastructure initiatives that Product Foundations depend on or help maintain, including Terraform CI/CD, Kubernetes networking, zero-trust service communication, policy-as-code, and cross-DC/provider networking.\n Build and evolve reusable service infrastructure primitives, including Helm charts, Terraform modules, GitHub Actions/GitOps workflows, service scaffolding, runbooks, and documentation.\n Establish durable technical standards through design docs, architecture reviews, mentorship, and hands-on implementation that help Together scale services across teams, regions, and cloud environments.\n \n Requirements \n \n 7+ years of professional experience in platform engineering, service infrastructure, SRE, distributed systems, cloud infrastructure, or related roles.\n Deep production experience with Kubernetes, including EKS, Helm, ArgoCD/Argo Rollouts, ingress, autoscaling, secrets, service identity, networking, and progressive delivery.\n Strong Terraform experience, including module design, infrastructure CI/CD, policy enforcement, production applies, and safe self-service workflows.\n Experience operating networking and edge infrastructure such as CDNs, ALBs/NLBs, DNS, TLS, ingress/egress controls, and traffic management.\n Proficiency in one or more programming languages used for infrastructure tooling and automation, such as Go, Python, TypeScript, or similar.\n AWS experience, ideally including EKS, IAM, VPC networking, load balancing, Route 53, CloudFront, ECR, and related service infrastructure.\n Direct experience with observability systems, including metrics, logs, traces, dashboards, alerting, SLOs, and incident response.\n Proven ability to lead cross-functional technical initiatives across product engineering, infrastructure, networking, and security teams.\n Strong written communication skills, with experience producing clear design docs, migration plans, operational guidance, and technical standards.\n Staff-level judgment: you can define ambiguous problems, make pragmatic tradeoffs, influence without authority, and leave both systems and teams better than you found them.\n \n Nice to Have \n \n Experience building internal developer platforms or paved-path service frameworks used by many engineering teams.\n Experience embedding infrastructure best practices into product engineering teams at scale.\n Experience with service mesh or zero-trust infrastructure such as mTLS, SPIFFE/SPIRE, Cilium, Istio, Linkerd, Envoy, or similar.\n Experience with OPA, Gatekeeper, Kyverno, Sentinel, or other policy-as-code systems.\n Experience with multi-region, multi-cluster, hybrid-cloud, or cross-provider service networking.\n Experience with supply-chain security, image signing, SBOMs, vulnerability management, or compliance automation.\n \n About Together AI \n Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the nex","salary_min":240000,"salary_max":280000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["cloud","payments","distributed-systems","infrastructure","platform"],"apply_url":"https://job-boards.greenhouse.io/togetherai/jobs/5180690007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-10T22:06:31Z","expires_at":"2026-09-29T13:32:22.903461Z","created_at":"2026-07-12T14:01:51.382499Z","updated_at":"2026-08-30T13:32:23.050646Z","company_name":"Together AI","company_slug":"together-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=together.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/21fc5b88-2cc6-41e7-aabb-4eb32c4e3b24"},{"id":"e61519b6-b880-4ea2-8718-17b134db59b6","company_id":"3da82454-107f-427f-88e7-01f315ef93fb","title":"Member of Technical Staff - Sandbox Platform","slug":"member-of-technical-staff-sandbox-platform-ff44059b","description":"OWN YOUR INTELLIGENCE\n\n\n\nPrime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team. \n\n\n\nOur platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system for post-training at frontier scale - from SFT and RL to tool use, agent workflows, and continuously improving production models. We are building open frontier AI: open-source models trained end to end for long-horizon tasks like autonomous research, and the full-stack platform our own research team uses to build them. The next generation of AI companies, enterprises, and research teams do not just need more GPUs. They need the ability to turn their own workflows, tools, data, and feedback loops into superintelligence they own.\n\n\n\nPrime Intellect has raised $150M in total funding from Founders Fund, Radical Ventures, NVIDIA, and exceptional AI, infrastructure, and enterprise operators — including Andrej Karpathy, Dwarkesh Patel, and leaders and founders from Ramp, Perplexity, Harvey, Mercor, Zapier, Datadog, Cognition, OpenAI, Thinking Machines, Together AI, SemiAnalysis, LangChain, Browserbase, Cloudflare, Sierra, Databricks, Airbnb, OpenRouter, Standard Intelligence, Fleet, Core Auto, and more. We are looking for people who want to build at the intersection of frontier research, real infrastructure, and go-to-market for a category that does not fully exist yet.\n\n\nROLE IMPACT\n\nThis is a hybrid role spanning both our infrastructure layers and developer platform. You'll work on two key areas:\n\n 1. The underlying sandbox infrastructure that powers our training systems\n\n 2. Our developer-facing platform for AI workload management\n\nYou will work on a distributed system with performance engineering at its core. The role will draw on the full breadth of your systems skills, from deep Linux kernel topics to high-level distributed system design. Expect your low-level systems fortitude to be pushed as you build infrastructure that remains fast, robust, and reliable at scale.\n\n\nCORE TECHNICAL RESPONSIBILITIES\n\nInfrastructure Development\n\n - Design and implement distributed orchestration infrastructure in Go and Rust\n\n - Build high-performance networking and coordination components\n\n - Create infrastructure automation pipelines with Ansible\n\n - Manage cloud resources and container orchestration\n\n - Implement scheduling systems for heterogeneous hardware (CPU, GPU, TPU)\n\nPlatform Development\n\n - Build intuitive web interfaces for AI workload management and monitoring\n\n - Develop REST APIs and backend services in Python\n\n - Create real-time monitoring and debugging tools\n\n - Implement user-facing features for resource management and job control\n\n\nTECHNICAL REQUIREMENTS\n\nInfrastructure Skills\n\n - Systems programming experience with Rust\n\n - Strong Linux systems knowledge, including networking, namespacing, and performance tuning\n\n - Virtualization experience, including VMs, hypervisors, and low-level resource management\n\n - Infrastructure automation (Ansible, Terraform)\n\n - Container orchestration (Kubernetes)\n\n - Cloud platform expertise (GCP preferred)\n\n - Observability tools (Prometheus, Grafana)\n\nPlatform Skills\n\n - Strong Python backend development (FastAPI, async)\n\n - Modern frontend development (TypeScript, React/Next.js, Tailwind)\n\n - Experience building developer tools and dashboards\n\n - RESTful API design and implementation\n\n\nNICE TO HAVE\n\n - Experience with GPU computing and ML infrastructure\n\n - Knowledge of AI/ML model architecture and training\n\n - High-performance networking implementation\n\n - Open-source infrastructure contributions\n\n - WebSocket/real-time systems experience\n\n\nWHAT WE OFFER\n\n - Cash Compensation Range of $150-300k with significant equity incentives\n\n - Flexible work arrangement (San Francisco office preferred, remote possible for exceptional candidates)\n\n - Full visa sponsorship and relocation support\n\n - Professional development budget for courses and conferences\n\n - Regular team off-sites and conference attendance\n\n - Opportunity to shape the future of decentralized AI development\n\n\nGROWTH OPPORTUNITY\n\nYou'll join a team of experienced engineers and researchers working on cutting-edge problems in AI infrastructure. We believe in open development and encourage team members to contribute to the broader AI community through research and open-source contributions.\n\nWe value potential over perfection - if you're passionate about democratizing AI development and have experience in either platform or infrastructure development (ideally both), we want to talk to you.\n\nReady to help shape the future of AI? Apply now and join us in our mission to make powerful AI models accessible to everyone.","salary_min":150000,"salary_max":300000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["distributed-systems","agents","api-design","cloud","platform"],"apply_url":"https://jobs.ashbyhq.com/PrimeIntellect/26c41d54-f823-4aac-8fdf-4e78fc760184/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-08T18:45:38.023Z","expires_at":"2026-09-29T13:40:22.297865Z","created_at":"2026-05-10T14:11:00.913248Z","updated_at":"2026-08-30T13:40:22.430105Z","company_name":"Prime Intellect","company_slug":"PrimeIntellect","company_logo_url":"https://www.google.com/s2/favicons?domain=primeintellect.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/e61519b6-b880-4ea2-8718-17b134db59b6"},{"id":"1f1277bf-6df0-4958-98b7-f80a494a37bc","company_id":"ec4a8bb4-3840-4054-8ccd-77e81db037af","title":"Senior Software Engineer, Agentic AI Platform","slug":"senior-software-engineer-agentic-ai-platform-4f22bc2d","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 building the platform that makes autonomous intelligence reliable in the real world. We are looking for a senior software engineer to help build the C3 Agentic AI Platform — the system on which AI agents observe, reason, decide, and act on live operational data across critical industries such as manufacturing, energy, defense, and healthcare. This is production AI where wrong actions have real consequences, so the bar is accuracy, performance, and safety you can measure.\n The ideal candidate has a strong computer science and mathematics background and has built scalable software systems that ran in production. You thrive in a fast-paced, highly collaborative environment, communicate clearly, and hold a high bar without ego. You also treat curiosity as a survival skill: the models, tools, and techniques in this space change monthly, and you want to learn faster than the market.\n As a C3 Agentic AI Platform engineering team member, you will closely collaborate with product owners and data scientists and be responsible for the entire software engineering lifecycle. Our agents do not run in toy environments; they operate where mistakes can break equipment, delay missions, or create safety risk. Agent accuracy, performance, and safety are the product itself — not compliance cleanup — and everything you build must be measurable, explainable, and reliable in production.\n Responsibilities\n \n Architect and build the systems, tools, and frameworks that let data scientists and developers create, deploy, and operate agentic AI applications on the C3 Agentic AI Platform — applying sound design principles to ground agents in governed enterprise data and run them on reliable, scalable runtimes and end-to-end pipelines in a distributed system.\n Advance agent accuracy: build the evaluations, grounding, and feedback loops that measure and improve correctness, reduce hallucination, and track override rates in production.\n Drive agent performance: optimize latency, throughput, scalability, and inference cost across the platform.\n Strengthen agent safety: implement inherited permissions, guardrails, human-approval and escalation paths, auditability, and rollback so that autonomy stays bounded and is earned one workflow at a time.\n Collaborate with and support data scientists to understand the utility of the C3 Agentic AI Platform and define new requirements.\n Work with product owners to define and lead the development of longer-term platform capabilities.\n Mentor junior members of the team.\n \n Qualifications\n \n Advanced degree in computer science, math, or a similar field.\n Strong command of software architecture and design principles, with a track record of designing scalable, reliable, and maintainable systems and making architectural trade-offs deliberately.\n Thorough knowledge of data structures, algorithms, profiling/optimization, and Object-Oriented and Functional Programming.\n Strong programming skills in Java, Python, and JavaScript.\n High proficiency with agentic coding tools (e.g., Claude Code, Cursor) — going beyond individual tool use to orchestrate engineering workflows across multiple agents working in parallel. You decompose work, delegate to and coordinate several coding agents at once, and review their output with the judgment to catch subtle bugs, security issues, and architectural drift, all while collaborating closely with teammates and keeping code correct, secure, and maintainable.\n In-depth understanding of machine learning algorithms; familiarity with LLMs and AI agent architectures is a strong plus.\n Proven track record of applying machine learning or AI in a production system.\n Demonstrated end-to-end ownership of projects, including making key design decisions and understanding the tradeoffs.\n A minimum of 5 years of work experience in a fast-paced software company.\n C3 AI provides excellent benefits, a competitive compensation package and generous equity plan. \n California Base Pay Range\n $160,000 — $219,000 USD \n C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.","salary_min":160000,"salary_max":219000,"location":"Redwood City, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["healthcare","distributed-systems","llm","agents","generative-ai","platform"],"apply_url":"https://c3.ai/job-description/8621286002?gh_jid=8621286002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-06T17:18:05Z","expires_at":"2026-09-29T13:40:13.409307Z","created_at":"2026-07-07T14:11:27.29034Z","updated_at":"2026-08-30T13:40:13.544525Z","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/1f1277bf-6df0-4958-98b7-f80a494a37bc"},{"id":"35697ac3-d1ba-4ab6-b9f5-77d613e7a47a","company_id":"654d4532-88db-435d-8a6f-161b8c5a491e","title":"ML Platform Engineer","slug":"ml-platform-engineer-e73cb59a","description":"About Stitch Fix, Inc. \n Stitch Fix (NASDAQ: SFIX) Stitch Fix is redefining retail by combining human creativity with advanced data science and Generative AI. As we build the future of personalized shopping, we’re equally committed to building yours.  We believe in investing in our team as much as our technology. Join us to be a trendsetter in the industry and help us redefine what’s possible for our clients, while we help you reach your full potential.\n About the Role \n As an ML Platform Engineer at Stitch Fix, you will play a key role in building and maintaining the critical infrastructure that powers machine learning and AI across our organization. You will design, develop, and support scalable, resilient services and frameworks for ML model training and deployment, feature engineering and serving, candidate generation, AI agent deployment and observability, and other core platform capabilities.\n In this role, you'll contribute to the day-to-day operations of the ML Platform team, ensuring the smooth functioning of existing systems while driving improvements. You’ll collaborate closely with full-stack data scientists, offering consultation and support to help them unlock the full potential of our platform.\n With significant autonomy, you’ll have the opportunity to shape the future of ML and AI at Stitch Fix. Your ideas and expertise will drive improvements, codify best practices, and influence how we approach machine learning and AI systems at scale.\n Responsibilities:\n \n Collaborate with cross-functional teams, including data scientists, engineers, and business partners, to solve complex distributed systems and business challenges at scale.\n Be part of a team with high visibility across the organization, driving impactful solutions that make a difference.\n Share your ideas and help guide the team’s investments toward high-value opportunities.\n Foster a culture of technical collaboration and contribute to the development of scalable, resilient systems.\n \n About You\n \n You bring 3+ years of experience in software development, with a focus on data, ML, or AI infrastructure.\n You have a Bachelor's degree in an engineering or computer science field.\n You have a proven track record of building scalable, distributed production systems.\n Your coding and design skills are exceptional. While Python and Golang are our primary tools, your overall engineering expertise and problem-solving abilities matter most.\n You’re proficient in leveraging big data, web, and AI technologies such as Kafka, Postgres, Redis, FastAPI, Ray, AnyScale, LangGraph, LangSmith or similar tools.\n You have hands-on experience with AWS or other cloud-based providers.\n You excel at thinking globally, developing solutions that address multiple needs while prioritizing business impact.\n Your strong cross-functional communication skills enable you to simplify complex challenges and collaborate effectively with business partners to drive solutions forward.\n \n Why you'll love working at Stitch Fix... \n \n We are a group of bright, kind people who are motivated by challenge. We value integrity, innovation and trust. You’ll bring these characteristics to life in everything you do at Stitch Fix.\n We cultivate a community of diverse perspectives— all voices are heard and valued.\n We are an innovative company and leverage our strengths in fashion and tech to disrupt the future of retail. \n We win as a team, commit to our work, and celebrate grit together because we value strong relationships.\n We boldly create the future while keeping equity and sustainability at the center of all that we do. \n We are the owners of our work and are energized by solving problems through a growth mindset lens. We think broadly and creatively through every situation to create meaningful impact.\n We offer comprehensive compensation packages and inclusive health and wellness benefits.\n Compensation and Benefits This role will receive a competitive salary, benefits, and equity. The salary for US-based employees hired into this role will be aligned with the range below, which includes our three geographic areas. A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, location, and performance.This position is eligible for new hire and ongoing grants of restricted stock units depending on employee and company performance. In addition, the position is eligible for medical, dental, vision, and other benefits. Applicants should apply via our internal or external careers site. \n Salary Range\n $136,000 — $167,000 USD \n This link leads to the machine readable files that are made available in response to the federal Transparency in Coverage Rule and includes negotiated service rates and out-of-network allowed amounts between health plans and healthcare providers. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily a","salary_min":136000,"salary_max":167000,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"mid","tags":["agents","distributed-systems","cloud","payments","healthcare","generative-ai","platform"],"apply_url":"https://www.stitchfix.com/careers/jobs?gh_jid=8014448\u0026gh_jid=8014448","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-24T22:23:29Z","expires_at":"2026-09-29T13:49:15.946741Z","created_at":"2026-06-28T14:18:04.617348Z","updated_at":"2026-08-30T13:49:16.076455Z","company_name":"Stitch Fix","company_slug":"stitch-fix","company_logo_url":"https://www.google.com/s2/favicons?domain=stitchfix.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/35697ac3-d1ba-4ab6-b9f5-77d613e7a47a"}],"page":1,"per_page":20,"total":213,"total_is_exact":true,"total_pages":11}