{"access":{"advertiser_pricing_url":"https://aidevboard.com/pricing","catalog_url":"https://aidevboard.com/api/v1/catalog","description":"Public read endpoints are open and free. API keys are optional for stable agent identity and keyed hourly throttling.","docs_url":"https://aidevboard.com/docs","mode":"open","register_url":"https://aidevboard.com/api/v1/register"},"degraded":false,"estimated":false,"has_next":true,"jobs":[{"id":"52c0d743-42dc-4708-98d3-2eda7148a5c5","company_id":"66e863fb-9aaf-40df-996c-eb439e6f857e","title":"Software Engineer","slug":"software-engineer-b563a434","description":"About Glean: \n  \n Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. \n  \n At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. \n  \n Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. \n  \n If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. \n About the Role\n Glean Technologies, Inc. has multiple positions available for a Software Engineer. As a Software Engineer, you will help build a software-based platform that can scale indefinitely, including scalable enterprise search solutions. You will work across distributed systems, data pipelines, APIs, and user interfaces to deliver secure, high-quality products that meet customer needs.\n What You Will Do\n \n Develop a software-based platform that can scale indefinitely, including scalable enterprise search solutions.\n Build large-scale fault-tolerant distributed systems, preferably with knowledge of performance benchmarking tools and performance tuning on Linux-based systems.\n Perform thorough code review for peers, including interface design, code quality, and testing strategies.\n Understand customer requirements and implement them in solutions.\n Work closely with the company’s product teams to understand customer requirements and ensure features satisfy those requirements and are delivered effectively with high quality.\n Implement data ingestion pipelines to retrieve data from enterprise data sources and build a secure search index over that data.\n Design and implement user interfaces used by enterprise workers to search enterprise content.\n Design APIs to build other search-based applications.\n \n Who You Are\n \n You have a Master’s degree, or foreign degree equivalent, in Computer Science, Engineering (any field), or a related quantitative discipline, plus three (3) months of experience in the job offered or in any occupation in a related field.\n You have experience working on infrastructure for distributed systems or cloud-native applications, or experience building full-stack applications that span front-end, REST APIs, and application server, or experience training and productionizing machine learning, or information retrieval systems.\n You have experience with Go or C++.\n You have experience with Java.\n You have experience with Python.\n You have experience with TypeScript.\n You have algorithmic design skills.\n You have experience with data analytics.\n You have experience with Node.\n You have experience with Ruby on Rails, Django, or Flask.\n You have experience with React.\n Any suitable combination of education, training, and/or experience is acceptable.\n \n  \n Location: Mountain View, CA. Telecommuting is an option.\n Compensation \u0026 Benefits\n The standard base salary range for this position is $187,741 - $234,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.\n  \n We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k ","salary_min":187741,"salary_max":234000,"location":"Mountain View, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["data-pipeline","search","api-design","llm","agents","distributed-systems","cloud"],"apply_url":"https://job-boards.greenhouse.io/gleanwork/jobs/4713145005","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-10T18:21:38Z","expires_at":"2026-08-14T14:05:03.601599Z","created_at":"2026-07-12T14:03:17.754756Z","updated_at":"2026-07-15T14:05:03.733855Z","company_name":"Glean","company_slug":"glean","company_logo_url":"https://www.google.com/s2/favicons?domain=glean.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/52c0d743-42dc-4708-98d3-2eda7148a5c5"},{"id":"08e650fb-0032-430e-b5d5-a6c3007cb351","company_id":"66e863fb-9aaf-40df-996c-eb439e6f857e","title":"Software Engineer","slug":"software-engineer-4d15fbe9","description":"About Glean: \n  \n Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. \n  \n At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. \n  \n Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. \n  \n If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. \n About the Role\n Glean Technologies, Inc. has multiple positions available for a Software Engineer. As a Software Engineer, you will help build a software-based platform that can scale indefinitely, including scalable enterprise search solutions. You will work across distributed systems, data pipelines, APIs, and user interfaces to deliver secure, high-quality products that meet customer needs.\n What You Will Do\n \n Develop a software-based platform that can scale indefinitely, including scalable enterprise search solutions.\n Build large-scale fault-tolerant distributed systems, preferably with knowledge of performance benchmarking tools and performance tuning on Linux-based systems.\n Perform thorough code review for peers, including interface design, code quality, and testing strategies.\n Understand customer requirements and implement them in solutions.\n Work closely with the company’s product teams to understand customer requirements and ensure features satisfy those requirements and are delivered effectively with high quality.\n Implement data ingestion pipelines to retrieve data from enterprise data sources and build a secure search index over that data.\n Design and implement user interfaces used by enterprise workers to search enterprise content.\n Design APIs to build other search-based applications.\n \n Who You Are\n \n You have a Bachelor's degree, or foreign degree equivalent, in Computer Science, Engineering (any field), or a related quantitative discipline, and six (6) months of experience in the job offered or in any occupation in related field.\n You have experience working on infrastructure for distributed systems or cloud-native applications, or experience building full-stack applications that span front-end, REST APIs, and application server, or experience training and productionizing machine learning, or information retrieval systems.\n You have experience with Go or C++.\n You have experience with Java.\n You have experience with Python.\n You have experience with TypeScript.\n You have algorithmic design skills.\n You have experience with data analytics.\n You have experience with Node.\n You have experience with Ruby on Rails, Django, or Flask.\n You have experience with React.\n Any suitable combination of education, training, and/or experience is acceptable.\n \n  \n Location: Mountain View, CA. Telecommuting is an option.\n Compensation \u0026 Benefits\n The standard base salary range for this position is $215,000 - $278,900 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.\n  \n We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan","salary_min":215000,"salary_max":278900,"location":"Mountain View, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["distributed-systems","api-design","data-pipeline","cloud","agents","search","llm"],"apply_url":"https://job-boards.greenhouse.io/gleanwork/jobs/4713977005","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-10T18:21:37Z","expires_at":"2026-08-14T14:05:03.524725Z","created_at":"2026-07-12T14:03:17.835612Z","updated_at":"2026-07-15T14:05:03.648481Z","company_name":"Glean","company_slug":"glean","company_logo_url":"https://www.google.com/s2/favicons?domain=glean.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/08e650fb-0032-430e-b5d5-a6c3007cb351"},{"id":"c8d7c8f4-7a62-4899-9006-8cc4861dc62e","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Software Engineer, Agentic Modeling \u0026 Simulation","slug":"software-engineer-agentic-modeling-simulation-f921e023","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 Lattice software platform integrates together many sensors into a single cohesive view of the world, providing needed context for our users. Anduril’s Frontier AI team builds edge-compatible, generative AI systems into the Lattice software platform to provide features and products that improve autonomy and reduce cognitive burden on the warfighter. Specific applications include but are not limited to automating mission planning, battle-space understanding, voice-control of assets, and enabling higher-levels of autonomy. \n ABOUT THE JOB\n Anduril is looking for a full-stack software engineer to build agentic modeling and simulation systems for operational planning. This role sits at the intersection of applied AI, backend systems, model and simulation, wargaming, and mission software. You will build the systems that let humans and AI agents author scenarios, task simulated entities, inspect simulation state, reason about human and adversary behavior, and evaluate courses of action in near real time. The goal is to shorten military planning cycles from days to minutes by putting physics-backed simulation and AI-assisted planning directly in the hands of operators. \n WHAT YOU’LL DO \n \n Build agentic workflows that make modeling and simulation capabilities accessible through natural language, structured tools, APIs, and operator-facing product experiences.\n Design multi-agent architectures that model human decision-making, adversary responses, operational constraints, and plan tradeoffs across complex military operations.\n Integrate LLM tool use, function calling, retrieval, planning loops, evaluation hooks, and guardrails with simulation engines, physics/modeling backends, and mission planning systems.\n Build backend services and interfaces for scenario creation, entity tasking, simulation state retrieval, course-of-action generation, plan comparison, and real-time analysis.\n Partner with warfighters, model/sim experts, autonomy engineers, game/simulation engineers, and mission software teams to translate ambiguous planning workflows into reliable software.\n Improve observability, reproducibility, and evaluation for agent behavior so generated scenarios and recommendations are inspectable, explainable, and operationally useful.\n Learn and apply relevant DoD modeling and simulation tools and concepts, including campaign-level simulation, mission-level simulation, wargaming workflows, and systems such as AFSIM and STORM.\n \n REQUIRED QUALIFICATIONS\n \n Strong production software engineering experience building backend services, APIs, platforms, or integrations around complex stateful systems.\n Hands-on experience building AI/ML or LLM-powered software, ideally including tool/function calling, RAG, structured outputs, agent orchestration, MCP-style interfaces, or model evaluation.\n Proficiency in Python, Go, or a similar backend language, with the ability to work across service boundaries and integrate with external systems.\n A degree in Computer Science, Software Engineering, Mathematics, Physics, or a related technical field.\n Ability to work directly with operators, warfighters, and technical SMEs to turn ambiguous operational planning needs into concrete product and engineering requirements.\n Strong judgment around reliability, safety, observability, and debugging for AI systems deployed in high-stakes environments.\n Eligible to obtain and maintain an active U.S. Top Secret security clearance.\n \n PREFERRED QUALIFICATIONS\n \n Experience with modeling and simulation, physics engines, wargaming tools, autonomy simulation, operations research, planning systems, or human/adversary behavior modeling.\n Experience with DoD modeling and simulation tools or concepts such as AFSIM, STORM, campaign-level simulation, mission-level simulation, or course-of-action analysis.\n Experience shipping production agentic systems, not only prototypes.\n Familiarity with gRPC/protobuf, Kubernetes, containerized deployments, distributed systems, observability, and secure or air-gapped environments.\n Experience in defense, aerospace, autonomy, robotics, gaming/simulation, command-and-control, or operational planning domains.\n US Salary Range\n $191,000 — $292,000 USD \n The salary range for th","salary_min":191000,"salary_max":292000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["payments","cloud","llm","distributed-systems","agents","computer-vision","api-design","generative-ai"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5184726007?gh_jid=5184726007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-10T17:35:34Z","expires_at":"2026-08-14T14:09:00.887844Z","created_at":"2026-07-12T14:06:33.966919Z","updated_at":"2026-07-15T14:09:01.016704Z","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/c8d7c8f4-7a62-4899-9006-8cc4861dc62e"},{"id":"5e84a3b7-6396-4e2c-a48f-c1dae6573539","company_id":"a0000000-0000-0000-0000-000000000001","title":"Finance Systems Integration Engineer","slug":"finance-systems-integration-engineer-c4f39bc4","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the role \n We are seeking an experienced Finance Systems Integration Engineer to support our finance systems transformation at one of the fastest-growing AI companies. You'll design and build integrations connecting our ERP platform with critical financial applications and support our ERP implementation initiatives. As you master our integration landscape, you'll have opportunities to expand into Claude-powered AI automation and data pipeline development.\n You'll build the integration backbone for one of the fastest-growing AI companies, with a front-row seat to how Claude transforms financial operations. This is a foundational role where you'll shape our integration architecture from the ground up, then expand into cutting-edge AI automation as our needs evolve. You'll work alongside teams building frontier AI systems while directly applying that technology to solve real financial operations challenges.\n In this role you will: \n Core Focus: Integration Development \u0026 ERP Support \n \n Design, build, and maintain integrations connecting ERP systems with downstream applications including ZipHQ, Brex, Navan, Clearwater, Payroll systems, Salesforce, and other critical financial platforms using Workato, MuleSoft, or similar iPaaS solutions\n Support integration development and testing during the ERP implementation projects \n Develop and maintain REST APIs, webhooks, and OAuth 2.0 authentication flows for secure system-to-system communication\n Implement real-time and batch integration patterns supporting high-volume financial transactions\n Establish monitoring, alerting, and error-handling frameworks to ensure integration reliability and data integrity\n Document integration architectures, data flows, API specifications, and troubleshooting procedures\n Collaborate with implementation consulting partners and vendors on technical integration requirements\n \n Additional Scope:  AI Automation \u0026 Data Infrastructure \n As you master our integration landscape, you'll have opportunities to expand into:\n AI Agent Development \n \n Build and deploy Claude-powered AI agents that automate financial operations including intelligent document processing, workflow automation, financial audit and reconciliations, and self-service reporting\n Design agentic workflows that leverage Claude API capabilities integrated with ERP platform data and processes\n Create automated validation and quality assurance processes for AI-generated outputs\n Partner with Finance teams to identify automation opportunities and translate requirements into AI agent solutions\n \n Data Pipeline Support \n \n Support data pipeline development using Airflow for workflow orchestration and dbt for data transformation\n Build and maintain data flows from ERP and other financial systems into BigQuery for analytics and reporting\n Implement data quality checks and testing frameworks for financial data pipelines\n Collaborate with Data Infrastructure team on pipeline architecture, performance optimization, and security monitoring\n Support executive dashboards and financial analytics by ensuring timely, accurate data delivery\n \n Governance \u0026 Collaboration \n \n Maintain comprehensive documentation for integrations, AI agents, and data pipelines\n Support internal and external audits with technical evidence and system access reviews\n Collaborate with Finance Systems Engineers on operational support, troubleshooting, and enhancement requests\n Partner with Finance Operations, Accounting, FP\u0026A, Engineering, and Data Infrastructure teams to deliver holistic solutions\n \n You may be a good fit if you: \n \n Have 8+ years of experience in integration development, data engineering, or systems engineering roles\n Possess hands-on experience with iPaaS platforms such as Workato, MuleSoft, Dell Boomi, or similar integration tools\n Have strong programming skills in Python and/or JavaScript/TypeScript for building custom integrations, APIs, and automation scripts\n Demonstrate experience with data pipeline tools including Airflow for orchestration and dbt for transformation\n Have working knowledge of cloud data platforms such as BigQuery, Snowflake, or Databricks\n Understand REST API design patterns, webhooks, OAuth 2.0, and modern integration architectures\n Have familiarity with ERP systems (Oracle Fusion, Workday Financials, or similar) and financial business processes\n Possess strong problem-solving skills with ability to debug complex integration issues across multiple systems\n Thrive in a fast-paced, high-growth environment balancing innovation with operational stability\n Have excellent communication skills to collaborate with technical and business sta","salary_min":205000,"salary_max":270000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["llm","agents","payments","alignment","api-design","data-pipeline"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5315789008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-09T14:27:46Z","expires_at":"2026-08-14T14:00:21.627236Z","created_at":"2026-07-10T14:00:23.500172Z","updated_at":"2026-07-15T14:00:21.788573Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/5e84a3b7-6396-4e2c-a48f-c1dae6573539"},{"id":"badeb1d6-7048-4b26-8dc7-7015a80bf56b","company_id":"d66267b6-f404-410f-9b8e-fe8bbcfcaf1b","title":"Senior Software Engineer - Python and Data Ecosystem","slug":"senior-software-engineer-python-and-data-ecosystem-9f871560","description":"About ClickHouse\n Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads.\n The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla.\n We’re on a mission to transform how companies use data. Come be a part of our journey!\n The Connectors team is the bridge between ClickHouse and the broader data ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.\n Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.\n About the role\n As a Senior Software Engineer specializing in Python and the Data Ecosystem , you'll be a core contributor owning and evolving critical parts of ClickHouse's data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.\n We're looking for someone who has lived the Data Engineer or Data Scientist experience firsthand. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.\n You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across:\n \n Orchestration Platforms: Apache Airflow, Dagster, Prefect\n Transformation Tools: dbt, SQLMesh\n AI \u0026 LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications\n \n ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.\n What you'll do \n \n Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design\n Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards\n Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications\n Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback\n Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities\n Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows\n \n About you \n \n 7+ years of software development experience, including hands-on time as a Data Engineer, Data Scientist, or ML Engineer\n Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)\n Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production\n Solid experience with the Python data ecosy","salary_min":157000,"salary_max":232000,"location":"United States","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["mlops","embeddings","llm","agents","api-design","healthcare","data-pipeline","rag"],"apply_url":"https://job-boards.greenhouse.io/clickhouse/jobs/6107514004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-09T12:23:47Z","expires_at":"2026-08-14T14:16:34.442006Z","created_at":"2026-07-09T14:14:22.744462Z","updated_at":"2026-07-15T14:16:34.637848Z","company_name":"ClickHouse","company_slug":"clickhouse","company_logo_url":"https://www.google.com/s2/favicons?domain=clickhouse.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/badeb1d6-7048-4b26-8dc7-7015a80bf56b"},{"id":"ffb8f345-cc3f-4a19-b74d-6117413ea12c","company_id":"3da82454-107f-427f-88e7-01f315ef93fb","title":"Member of Technical Staff - Training Platform","slug":"member-of-technical-staff-training-platform-bf6e9667","description":"OWN YOUR INTELLIGENCE\n\n\n\nPrime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team.\n\n\n\nOur platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system for post-training at frontier scale - from SFT and RL to tool use, agent workflows, and continuously improving production models. We are building open frontier AI: open-source models trained end to end for long-horizon tasks like autonomous research, and the full-stack platform our own research team uses to build them. The next generation of AI companies, enterprises, and research teams do not just need more GPUs. They need the ability to turn their own workflows, tools, data, and feedback loops into superintelligence they own.\n\n\n\nPrime Intellect has raised $150M in total funding from Founders Fund, Radical Ventures, NVIDIA, and exceptional AI, infrastructure, and enterprise operators — including Andrej Karpathy, Dwarkesh Patel, and leaders and founders from Ramp, Perplexity, Harvey, Mercor, Zapier, Datadog, Cognition, OpenAI, Thinking Machines, Together AI, SemiAnalysis, LangChain, Browserbase, Cloudflare, Sierra, Databricks, Airbnb, OpenRouter, Standard Intelligence, Fleet, Core Auto, and more. We are looking for people who want to build at the intersection of frontier research, real infrastructure, and go-to-market for a category that does not fully exist yet.\n\n\n\n\nROLE IMPACT\n\nYou'll help build our hosted training platform - the product that lets users launch LoRA and full fine-tuning runs on managed GPU clusters with a single API call or a few clicks. The role spans the developer-facing platform and the underlying Kubernetes-based training infrastructure that runs the jobs.\n\n\n\n\nCORE TECHNICAL RESPONSIBILITIES\n\n\n\n\nHOSTED TRAINING INFRASTRUCTURE\n\n - Design and operate Kubernetes-based training and inference orchestration across multi-cluster, multi-cloud GPU fleets\n\n - Build and maintain Helm charts that compose trainers, inference servers, environment servers, and supporting services into reproducible \"Training stacks\"\n\n - Develop the Python control-plane agents that watch pods, report run state to the platform, and keep clusters in sync\n\n - Implement scheduling and autoscaling for heterogeneous hardware (H100/H200/B200) using KEDA, LeaderWorkerSet, taints/tolerations, and gang scheduling\n\n - Run a tight GitOps workflow - every change ships through PRs, Helm values, and CI\n\n - Build node-local model caches, checkpoint pipelines, and shared storage for fast cold starts\n\n - Operate the observability stack (Prometheus, Grafana, Loki, DCGM) and make GPU cluster debugging fast\n\n\nPLATFORM DEVELOPMENT\n\n - Build the developer-facing surfaces for hosted training: job submission, live run monitoring, logs, metrics, model/adapter management, comparisons\n\n - Develop FastAPI backend services and REST APIs that bridge the platform to running clusters\n\n - Build real-time monitoring and debugging tools (streaming logs, step-level metrics, failure analysis)\n\n - Ship product UI in Next.js / React / TypeScript with shadcn, Tailwind, tRPC, and TanStack Query\n\n\nRESEARCH BRIDGE\n\n - Interface with the RL trainer, inference servers, and environment servers running inside our clusters\n\n - Productize new training capabilities (new model architectures, RL algorithms, modes)\n\n\n\n\n\nTECHNICAL REQUIREMENTS\n\nWe're looking for engineers who are fluent across three areas - you don't need to be the world's best at any one, but you should have real depth in all three and a clear point of view on how they connect.\n\n\n\n\nAI \u0026 GPU LANDSCAPE\n\n - Strong working knowledge of the modern AI stack - open model families, finetuning techniques (LoRA, QLoRA, full FT, RLHF/RLAIF), inference engines (vLLM, SGLang, TensorRT-LLM)\n\n - Familiarity with GPU hardware tradeoffs (H100 / H200 / B200, NVLink, interconnects, memory hierarchy) and what they mean for training and inference workloads\n\n - Understanding of distributed training fundamentals (data/tensor/pipeline/expert parallelism, NCCL, multi-node scheduling)\n\n - Awareness of what's happening at the frontier - new models, training methods, infra patterns - and the ability to translate that into product decisions\n   \n   \n\n\nKUBERNETES \u0026 INFRASTRUCTURE\n\n - Strong Kubernetes operations experience - Helm, CRDs, operators, KEDA, gang scheduling, GPU operator\n\n - Comfortable debugging real production clusters (kubectl, pod lifecycle, node issues, networking)\n\n - Cloud platform experience (GCP preferred - GCS, GKE, Cloud Run, Cloud Tasks)\n\n - Infrastructure automation (Helm, Terraform, Ansible) and a GitOps mindset\n\n - Observability: Prometheus, Grafana, Loki, OpenTelemetry, DCGM\n\n - Linux fundamentals: networking, namespaces, performance tuning\n   \n   \n\n\nPROGRAMMING \u0026 PLATFORM\n\n - Strong Python backend development (FastAPI, async, SQLAlchemy)\n\n - Comfortable building Python contr","salary_min":150000,"salary_max":300000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["gpu","cloud","fine-tuning","api-design","reinforcement-learning","distributed-systems","agents","llm"],"apply_url":"https://jobs.ashbyhq.com/PrimeIntellect/8706578d-5a01-4270-9d43-ed9cd998a982/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-08T18:45:47.645Z","expires_at":"2026-08-14T14:12:07.165126Z","created_at":"2026-05-11T14:11:38.576943Z","updated_at":"2026-07-15T14:12:07.28928Z","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/ffb8f345-cc3f-4a19-b74d-6117413ea12c"},{"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":["cloud","api-design","distributed-systems","agents","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":"2026-08-14T14:12:07.75407Z","created_at":"2026-05-10T14:11:00.913248Z","updated_at":"2026-07-15T14:12:07.877438Z","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":"81392512-84d3-4036-91ff-d2caaa3329d7","company_id":"3da82454-107f-427f-88e7-01f315ef93fb","title":"Member of Technical Staff - Full Stack Software Engineer","slug":"member-of-technical-staff-full-stack-9e4ea40d","description":"OWN YOUR INTELLIGENCE\n\n\n\nPrime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team.\n\n\n\nOur platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system for post-training at frontier scale - from SFT and RL to tool use, agent workflows, and continuously improving production models. We are building open frontier AI: open-source models trained end to end for long-horizon tasks like autonomous research, and the full-stack platform our own research team uses to build them. The next generation of AI companies, enterprises, and research teams do not just need more GPUs. They need the ability to turn their own workflows, tools, data, and feedback loops into superintelligence they own.\n\n\n\nPrime Intellect has raised $150M in total funding from Founders Fund, Radical Ventures, NVIDIA, and exceptional AI, infrastructure, and enterprise operators — including Andrej Karpathy, Dwarkesh Patel, and leaders and founders from Ramp, Perplexity, Harvey, Mercor, Zapier, Datadog, Cognition, OpenAI, Thinking Machines, Together AI, SemiAnalysis, LangChain, Browserbase, Cloudflare, Sierra, Databricks, Airbnb, OpenRouter, Standard Intelligence, Fleet, Core Auto, and more. We are looking for people who want to build at the intersection of frontier research, real infrastructure, and go-to-market for a category that does not fully exist yet.\n\n\n\n\nROLE IMPACT\n\nThis is a generalist software engineering role focused on building the product surface of Prime Intellect - the developer-facing platform, APIs, and services that researchers and engineers around the world use to train and deploy frontier models. You'll own features end-to-end, from design through deployment and monitoring, and ship at the pace of an early-stage company tackling one of the most important problems in AI.\n\n\n\n\nCORE RESPONSIBILITIES\n\n - Build intuitive web interfaces for AI workload management and monitoring\n\n - Develop REST APIs and backend services in Python\n\n - Own features end-to-end, from design through deployment and operation\n\n - Create real-time monitoring and debugging tools for users of the platform\n\n - Implement user-facing features for resource management and job control\n\n - Deploy and operate services on cloud infrastructure\n\n - Contribute to internal tooling, automation, and developer experience improvements\n   \n   \n\n\nTECHNICAL REQUIREMENTS\n\n - Strong Python backend development (FastAPI, async)\n\n - Modern frontend development (TypeScript, React/Next.js, Tailwind)\n\n - Experience building developer tools, dashboards, or platform products\n\n - RESTful API design and implementation\n\n - Comfortable working with cloud platforms (GCP a plus) and containerized deployments\n\n - A bias toward shipping, ownership of production code, and pragmatic engineering judgment\n\n - Infrastructure automation experience (Ansible, Terraform, Kubernetes)\n\n\n\n\nNICE TO HAVE\n\n - Interest in or exposure to ML/AI workloads\n\n - WebSocket / real-time systems experience\n\n - Open-source contributions\n\n - Observability tooling (Prometheus, Grafana)\n\n - Prior experience at an early-stage startup\n   \n   \n\n\nWHAT WE OFFER\n\n - Cash compensation range of $150–300k with significant equity incentives\n\n - Flexible work arrangement (remote or San Francisco office)\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 open AI development\n   \n   \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 a strong generalist engineer who is passionate about democratizing AI development, 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":["api-design","cloud","agents","fullstack"],"apply_url":"https://jobs.ashbyhq.com/PrimeIntellect/c074bdd9-bee2-4ee9-ae03-aa8f7537682c/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-08T18:45:08.431Z","expires_at":"2026-08-14T14:12:06.294329Z","created_at":"2026-04-13T15:01:32.563487Z","updated_at":"2026-07-15T14:12:06.421777Z","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/81392512-84d3-4036-91ff-d2caaa3329d7"},{"id":"a1933842-376d-4817-ac42-d8641c10338e","company_id":"31ae48bc-c938-4c26-a348-0bf3c089a446","title":"Senior Software and AI Engineer","slug":"senior-software-and-ai-engineer-7975d207","description":"CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at  www.coreweave.com . \n About the Role:\n As a Software and AI Engineer, IT Systems, you’ll design and develop AI agents and first-party applications that bring intelligence, automation, and great user experience to CoreWeave’s internal ecosystem. You’ll work across the stack ranging from agentics frameworks (using iPaas platforms like Workato) or latest software frameworks from LangChain, LangGrapsh, Cohere, ChatGPT agentflow, OpenAI API, Gemini agent flow, or Glean API to rich, React-based interfaces and mobile experiences to robust backend services written in Node.js and Go. \n What You’ll Do:\n \n Develop agents using AI capabilities into applications using frameworks such as LangChain, LangGraph, ChatGPT API, and Glean API\n Design and build first-party web and mobile applications using React (TypeScript) and modern front-end frameworks\n Develop scalable backend services in Node.js and Go for data processing, orchestration, and automation\n Build internal AI agents and copilots that assist with tasks in Finance, Billing, and Supply Chain domains, integrating with systems like ERP, HRIS, MRP, DCIM, Data Warehouse among others - either natively or via an iPaaS like Workato or Boomi\n Implement APIs and microservices that enable modular and event-driven application architectures\n Leverage GenAI tools (Cursor, Claude, Copilot, ChatGPT Codex) to accelerate development, testing, and documentation\n Ensure robust observability, maintainability, and security across the application stack\n Collaborate with stakeholders in Finance, Accounting, Security, and Engineering to design intelligent, user-centered workflows\n \n Who You Are:\n \n Programming Experience: 3+ years of professional programming experience in languages such as TypeScript, Python, Go, C++, C#, or Java , specifically for delivering production-grade cloud services.\n Full-Stack Proficiency: Proven expertise in modern backend (e.g., FastAPI, gRPC ) and frontend technologies (e.g., React, Next ), including the development of scalable backend services in Node.js and Go.\n AI/LLM Experience: Solid familiarity with Generative AI frameworks ( LangChain, LangGraph, ChatGPT API, or Glean API ) and experience shipping production-grade AI/ML/LLM-based applications, or strong desire to build them.\n Architecture: Solid experience designing and implementing RESTful APIs, microservices , and event-driven integration architectures.\n Cloud \u0026 DevOps: Strong understanding of cloud environments (AWS, Azure, or GCP), container orchestration (e.g., Kubernetes), and proficiency with DevOps and CI/CD principles .\n Automation Tooling: 3+ years of experience in scripting (Python or Bash) for automation and tooling.\n \n Preferred:\n \n Experience developing AI-powered or agentic applications integrated with complex enterprise data (ERP, HRIS, DCIM, Data Warehouse).\n Proficiency with machine learning and data engineering platform tools (e.g., Ray, Kafka, Spark).\n Experience with iPaaS platforms (Workato, Boomi) for building internal AI agents and copilots.\n Exposure to the functional domains of Finance, Billing, or Supply Chain where intelligent automation can drive measurable business efficiency.\n \n Wondering if you’re a good fit?\n We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.\n \n You love to leverage cutting-edge GenAI tools (like Cursor, Claude, or Copilot) to accelerate your own development, testing, and documentation processes.\n You’re curious about designing solutions with user experience (UX) and long-term system maintainability as a top priority.\n You’re an expert in collaborating with non-technical stakeholders (like Finance and Accounting) to translate complex needs into intelligent, user-centered, and secure workflows.\n \n Why CoreWeave?\n At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:\n \n Be Curious at Your Core\n Act Like an Owner\n Empower Employees\n Deliver Best-in-Class Client Experiences\n Achieve More Together\n \n We support and encourag","salary_min":182000,"salary_max":242000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","microservices","llm","generative-ai","data-pipeline","api-design","code-generation","payments"],"apply_url":"https://coreweave.com/careers/job?4688220006\u0026board=coreweave\u0026gh_jid=4688220006","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-08T14:26:16Z","expires_at":"2026-08-14T14:06:51.612383Z","created_at":"2026-07-09T14:05:02.804304Z","updated_at":"2026-07-15T14:06:51.747708Z","company_name":"CoreWeave","company_slug":"coreweave","company_logo_url":"https://www.google.com/s2/favicons?domain=coreweave.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a1933842-376d-4817-ac42-d8641c10338e"},{"id":"3b9a1d3f-3e4a-4202-a36f-4a5f2aa3a083","company_id":"41d4f321-d748-4a4e-962f-dd5d23de3e43","title":"Principal Technical Lead Manager - AI Data Applications","slug":"principal-technical-lead-manager-ai-data-applications-37db2211","description":"Mission Summary: We are seeking an experienced and visionary Principal Technical Lead Manager to build and lead our new AI Data Application team. This pivotal role will drive the strategy, development, and execution of initiatives aimed at significantly accelerating our ML dataset generation and data search applications. The ultimate goal is to drastically reduce the development cycle for new pipelines, ML models and get us operationally prepared for a driverless future! You will be a hands-on leader, blending deep technical expertise in data systems and infrastructure with strong leadership and people management skills. You will recruit, mentor, and grow a high-performing team of engineers, fostering a culture of innovation, collaboration, and continuous improvements. \n What You'll Be Doing: \n \n Team Leadership \u0026 Management:\n \n Build, lead, and manage a high-performing team of full stack web engineers. \n Define team goals, priorities, and roadmap in alignment with company objectives.\n Provide technical guidance, mentorship, and career development opportunities to team members. \n \n Technical Strategy \u0026 Execution:\n \n Define the technical vision and strategy for building services and web platforms for storing and searching metadata and forming datasets.\n Define AI adoption strategy for frontend codebase and UX projects to speed up development and time to market.\n Identify and evaluate cutting-edge technologies and methodologies for querying through datasets stored in various types of databases (think images in vector store, metadata in Postgres, etc) and APIs owned by several teams across the company.  \n \n Cross-functional Collaboration:\n \n Collaborate closely with data mining, ML researchers, and other data platform teams to understand their needs and integrate solutions seamlessly.\n Communicate complex technical concepts and strategies to both technical and non-technical stakeholders. \n \n \n What We're Looking For: \n \n Experience:\n \n BS or MS in Computer Science or related field\n 8+ years of professional experience in building web applications \n 3+ years of experience in a technical lead or management role\n Extensive experience with building web applications for search and data curation needs.\n Extensive experience with API and query federation technologies such as GraphQL or AWS Athena.  \n \n Technical Skills:\n \n Strong programming skills in Typescript and Python.\n Strong knowledge of modern frontend technologies such React.\n Strong knowledge of building REST and gRPC based services, ideally in Python. \n Prior experience with building web applications for engineering or machine learning needs \n \n \n Bonus Points (not required):  \n \n Prior experience in autonomous vehicles (AV) is a plus.\n Prior experience with Bazel based build systems.\n Prior experience with developing frontend workflows using LLMs. \n \n We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. \n The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.  \n Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. \n Salary Range\n $240,000 — $330,000 USD \n Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more. \n Our journey is always people first. \n We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.\n Higher purpose, greater impact. \n We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.  \n Scale up, not starting up. \n Our team is behind some of ","salary_min":240000,"salary_max":330000,"location":"Las Vegas, Nevada, United States","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["autonomous-vehicles","cloud","llm","api-design","infrastructure"],"apply_url":"https://motional.com/open-positions/?gh_jid=7798020003#/7798020003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-07T18:26:12Z","expires_at":"2026-08-14T14:08:00.321696Z","created_at":"2026-07-09T14:06:15.715999Z","updated_at":"2026-07-15T14:08:00.480942Z","company_name":"Motional","company_slug":"motional","company_logo_url":"https://www.google.com/s2/favicons?domain=motional.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/3b9a1d3f-3e4a-4202-a36f-4a5f2aa3a083"},{"id":"dd6aef7f-c0c1-44d6-965b-8a33d9814f7d","company_id":"41d4f321-d748-4a4e-962f-dd5d23de3e43","title":"Principal Technical Lead Manager - AI Data Applications","slug":"principal-technical-lead-manager-ai-data-applications-ca410f7b","description":"Mission Summary: We are seeking an experienced and visionary Principal Technical Lead Manager to build and lead our new AI Data Application team. This pivotal role will drive the strategy, development, and execution of initiatives aimed at significantly accelerating our ML dataset generation and data search applications. The ultimate goal is to drastically reduce the development cycle for new pipelines, ML models and get us operationally prepared for a driverless future! You will be a hands-on leader, blending deep technical expertise in data systems and infrastructure with strong leadership and people management skills. You will recruit, mentor, and grow a high-performing team of engineers, fostering a culture of innovation, collaboration, and continuous improvements. \n What You'll Be Doing: \n \n Team Leadership \u0026 Management:\n \n Build, lead, and manage a high-performing team of full stack web engineers. \n Define team goals, priorities, and roadmap in alignment with company objectives.\n Provide technical guidance, mentorship, and career development opportunities to team members. \n \n Technical Strategy \u0026 Execution:\n \n Define the technical vision and strategy for building services and web platforms for storing and searching metadata and forming datasets.\n Define AI adoption strategy for frontend codebase and UX projects to speed up development and time to market.\n Identify and evaluate cutting-edge technologies and methodologies for querying through datasets stored in various types of databases (think images in vector store, metadata in Postgres, etc) and APIs owned by several teams across the company.  \n \n Cross-functional Collaboration:\n \n Collaborate closely with data mining, ML researchers, and other data platform teams to understand their needs and integrate solutions seamlessly.\n Communicate complex technical concepts and strategies to both technical and non-technical stakeholders. \n \n \n What We're Looking For: \n \n Experience:\n \n BS or MS in Computer Science or related field\n 8+ years of professional experience in building web applications \n 3+ years of experience in a technical lead or management role\n Extensive experience with building web applications for search and data curation needs.\n Extensive experience with API and query federation technologies such as GraphQL or AWS Athena.  \n \n Technical Skills:\n \n Strong programming skills in Typescript and Python.\n Strong knowledge of modern frontend technologies such React.\n Strong knowledge of building REST and gRPC based services, ideally in Python. \n Prior experience with building web applications for engineering or machine learning needs \n \n \n Bonus Points (not required):  \n \n Prior experience in autonomous vehicles (AV) is a plus.\n Prior experience with Bazel based build systems.\n Prior experience with developing frontend workflows using LLMs. \n \n We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. \n The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.  \n Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. \n Salary Range\n $240,000 — $330,000 USD \n Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more. \n Our journey is always people first. \n We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.\n Higher purpose, greater impact. \n We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.  \n Scale up, not starting up. \n Our team is behind some of ","salary_min":240000,"salary_max":330000,"location":"Boston, MA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["llm","autonomous-vehicles","api-design","cloud","infrastructure"],"apply_url":"https://motional.com/open-positions/?gh_jid=7798007003#/7798007003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-07T18:26:11Z","expires_at":"2026-08-14T14:08:00.557489Z","created_at":"2026-07-09T14:06:15.793118Z","updated_at":"2026-07-15T14:08:00.684015Z","company_name":"Motional","company_slug":"motional","company_logo_url":"https://www.google.com/s2/favicons?domain=motional.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/dd6aef7f-c0c1-44d6-965b-8a33d9814f7d"},{"id":"28b556dd-9bda-4087-8192-57feeb30f470","company_id":"41d4f321-d748-4a4e-962f-dd5d23de3e43","title":"Principal Technical Lead Manager - AI Data Applications","slug":"principal-technical-lead-manager-ai-data-applications-ac616924","description":"Mission Summary: We are seeking an experienced and visionary Principal Technical Lead Manager to build and lead our new AI Data Application team. This pivotal role will drive the strategy, development, and execution of initiatives aimed at significantly accelerating our ML dataset generation and data search applications. The ultimate goal is to drastically reduce the development cycle for new pipelines, ML models and get us operationally prepared for a driverless future! You will be a hands-on leader, blending deep technical expertise in data systems and infrastructure with strong leadership and people management skills. You will recruit, mentor, and grow a high-performing team of engineers, fostering a culture of innovation, collaboration, and continuous improvements. \n What You'll Be Doing: \n \n Team Leadership \u0026 Management:\n \n Build, lead, and manage a high-performing team of full stack web engineers. \n Define team goals, priorities, and roadmap in alignment with company objectives.\n Provide technical guidance, mentorship, and career development opportunities to team members. \n \n Technical Strategy \u0026 Execution:\n \n Define the technical vision and strategy for building services and web platforms for storing and searching metadata and forming datasets.\n Define AI adoption strategy for frontend codebase and UX projects to speed up development and time to market.\n Identify and evaluate cutting-edge technologies and methodologies for querying through datasets stored in various types of databases (think images in vector store, metadata in Postgres, etc) and APIs owned by several teams across the company.  \n \n Cross-functional Collaboration:\n \n Collaborate closely with data mining, ML researchers, and other data platform teams to understand their needs and integrate solutions seamlessly.\n Communicate complex technical concepts and strategies to both technical and non-technical stakeholders. \n \n \n What We're Looking For: \n \n Experience:\n \n BS or MS in Computer Science or related field\n 8+ years of professional experience in building web applications \n 3+ years of experience in a technical lead or management role\n Extensive experience with building web applications for search and data curation needs.\n Extensive experience with API and query federation technologies such as GraphQL or AWS Athena.  \n \n Technical Skills:\n \n Strong programming skills in Typescript and Python.\n Strong knowledge of modern frontend technologies such React.\n Strong knowledge of building REST and gRPC based services, ideally in Python. \n Prior experience with building web applications for engineering or machine learning needs \n \n \n Bonus Points (not required):  \n \n Prior experience in autonomous vehicles (AV) is a plus.\n Prior experience with Bazel based build systems.\n Prior experience with developing frontend workflows using LLMs. \n \n We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. \n The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.  \n Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. \n Salary Range\n $240,000 — $330,000 USD \n Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more. \n Our journey is always people first. \n We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.\n Higher purpose, greater impact. \n We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.  \n Scale up, not starting up. \n Our team is behind some of ","salary_min":240000,"salary_max":330000,"location":"Pittsburgh, PA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["api-design","autonomous-vehicles","llm","cloud","infrastructure"],"apply_url":"https://motional.com/open-positions/?gh_jid=7798018003#/7798018003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-07T18:26:11Z","expires_at":"2026-08-14T14:08:00.42804Z","created_at":"2026-07-09T14:06:15.633332Z","updated_at":"2026-07-15T14:08:00.580572Z","company_name":"Motional","company_slug":"motional","company_logo_url":"https://www.google.com/s2/favicons?domain=motional.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/28b556dd-9bda-4087-8192-57feeb30f470"},{"id":"d5192073-f94f-47b0-86ca-1d1fd96e6448","company_id":"251179ba-863f-4ac2-a567-71afc97b19ae","title":"Senior Software Engineer - Product","slug":"senior-software-engineer-product-81c303bd","description":"About the Role\nParallel Domain builds synthetic data and simulation platforms for autonomous vehicle and robotics teams. The Product Engineering team owns the customer-facing product and service layer: the self-serve platform for productizing ML reconstruction pipelines, our high-fidelity simulation-as-a-service product, the web applications and dashboards customers interact with directly, and the centralized backend services and APIs that connect them.\nWe're hiring a Senior Software Engineer to own delivery across this stack. You'll design and build features and services end to end - from API design through to production - and take real ownership of the reliability and quality of what you ship. Our stack spans Python backend services, RESTful and gRPC APIs, relational databases, React frontends, and data pipelines. Engineers who thrive here are comfortable across multiple layers of the stack, move well from a requirement to a design, and take operational ownership of what they build.\n","salary_min":155000,"salary_max":175000,"location":"Vancouver, Canada","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["api-design","autonomous-vehicles","data-pipeline","robotics"],"apply_url":"https://jobs.lever.co/paralleldomain/f1f6ce2a-abe4-44a3-98d0-5e308b9205bc/apply","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-07T18:07:35.276Z","expires_at":"2026-08-14T14:13:47.153124Z","created_at":"2026-07-09T14:11:34.368817Z","updated_at":"2026-07-15T14:13:47.254956Z","company_name":"Parallel Domain","company_slug":"parallel-domain","company_logo_url":"https://www.google.com/s2/favicons?domain=paralleldomain.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/d5192073-f94f-47b0-86ca-1d1fd96e6448"},{"id":"a0997550-e641-4ba4-9fbe-b78413503fcb","company_id":"cec3f1a8-c7e9-4ff6-a22d-19edaf0e2b25","title":"Distributed Systems Engineer","slug":"distributed-systems-engineer-fb487731","description":"ABOUT FLUIDSTACK\n\nWe exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had to do. Powerful AI will be the biggest lever for human choice we've ever built - but only if models are aligned with what humanity actually wants. There are groups building AI who don't share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it.\n\n\nWe're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. We acquire power, design and build data centers, and operate them - with teams spanning hardware and software. Speed and scale are our key differentiators. Come be a part of building civilization-scale infrastructure for AI.\n\n\nWe hire people who care deeply about this problem space. If that is you, please apply!\n\n\n\n\nHOW WE OPERATE\n\n - Extreme ownership. Full autonomy. Own things end to end often taking on scope outside your core role without being asked to get things done.\n\n - Velocity. We drive everything forward as fast as possible.\n\n - First principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins.\n\n - Love of the game. The frontier of AI is the most interesting problem of our time. We put in long hours at high intensity to push the frontier forward. ownership. Full autonomy. Own things end to end often taking on scope outside your core role without being asked to get things done.\n\n - Velocity. We drive everything forward as fast as possible.\n\n - First principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins.\n\n - Love of the game. The frontier of AI is the most interesting problem of our time. We put in long hours at high intensity to push the frontier forward.\n   \n    \n\n\nTHE PRODUCTION ENGINEERING TEAM\n\nExamples of key exciting problems the team is working on\n\n - Make tens of thousands of GPUs legible in real time: build the observability platform that turns raw telemetry into signal, from site-level health down to individual device and link. At 10 GW scale, you cannot operate what you cannot see.\n\n - Build the control plane every team at Fluidstack depends on: replace one-off tooling with a stable, versioned API surface that covers unified machine management, actual state inspection, and distributed command execution. One interface for the whole company, not a hundred scripts.\n\n - Make the system's view of itself always match reality: integrate fleet state as a machine-readable source of truth across provisioning, operations, and customer-facing platforms, so every new site and GPU generation lands cleanly from day zero.\n\n\nROLE SCOPE\n\n - Own the observability platform. Build and operate the data pipelines, decoration and correlation engine, and healthcheck framework that make the fleet legible — from site down to device and link. No other team should need to scrape production directly to answer a question.\n\n - Define and build the API surface for infrastructure. Design the contracts between production infrastructure and every tool that touches it. All other teams at Fluidstack use your tooling to manage and operate our hyperscale fleet.\n\n - Build the production control plane. Unified machine management, actual state inspection, distributed command execution — and the Kubernetes-based infrastructure that underpins it all.\n\n - Own fleet state as source of truth. SLOs, site lifecycle state, and integration with internal infrastructure management and customer-facing operations platforms. What the system says about itself should match reality, and you're accountable when it doesn't.\n\n - Land new hardware into the platform cleanly. ZTP, DHCP, DNS, artifacts — every new XPU generation and site integration goes through IaaS before production.\n   \n    \n\n\nWHAT WE'RE LOOKING FOR\n\nThe below is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, tell us where you would. https://jobs.ashbyhq.com/fluidstack/05c2e69c-42f9-4fcb-9cf0-a467aaf98f1c\n\n - You treat toil as a bug. If something requires a human to do it twice, you build the thing that makes it not require a human.\n\n - You design APIs that age well. You've felt the pain of a leaky abstraction at scale and you don't repeat it.\n\n - You move toward ambiguity, not away from it. You walk into the fog, build the map, and explain it to everyone else.\n\n - You learn at a steep slope. You reach real competence in an unfamiliar domain fast. We value this over existing expertise.\n\n - You carry a pager without flinching. You run the incident, write the postmortem, fix the systemic cause, and move on.\n\n - You're fluent with AI tooling. LLM APIs, MCP servers, and agentic frameworks, and you drive Claude Code, Cursor, or similar every day.\n\n - You've shipped production services that other teams depend on at sc","salary_min":175000,"salary_max":300000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["distributed-systems","api-design","llm","agents","data-pipeline"],"apply_url":"https://jobs.ashbyhq.com/fluidstack/fdf7e107-e93b-4eff-aa66-713bfe2e1411/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-05T16:45:08.493Z","expires_at":"2026-08-14T14:16:28.995929Z","created_at":"2026-07-06T14:14:42.152023Z","updated_at":"2026-07-15T14:16:29.09428Z","company_name":"FluidStack","company_slug":"fluidstack","company_logo_url":"https://www.google.com/s2/favicons?domain=fluidstack.io\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a0997550-e641-4ba4-9fbe-b78413503fcb"},{"id":"a609e546-df8f-4c93-8714-5a628ce31b8d","company_id":"cec3f1a8-c7e9-4ff6-a22d-19edaf0e2b25","title":"Backend Engineer","slug":"backend-engineer-777226b3","description":"ABOUT FLUIDSTACK\n\nWe exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had to do. Powerful AI will be the biggest lever for human choice we've ever built - but only if models are aligned with what humanity actually wants. There are groups building AI who don't share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it.\n\n\nWe're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. We acquire power, design and build data centers, and operate them - with teams spanning hardware and software. Speed and scale are our key differentiators. Come be a part of building civilization-scale infrastructure for AI.\n\n\nWe hire people who care deeply about this problem space. If that is you, please apply!\n\n\n\n\nHOW WE OPERATE\n\n - Extreme ownership. Full autonomy. Own things end to end often taking on scope outside your core role without being asked to get things done.\n\n - Velocity. We drive everything forward as fast as possible.\n\n - First principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins.\n\n - Love of the game. The frontier of AI is the most interesting problem of our time. We put in long hours at high intensity to push the frontier forward. ownership. Full autonomy. Own things end to end often taking on scope outside your core role without being asked to get things done.\n\n - Velocity. We drive everything forward as fast as possible.\n\n - First principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins.\n\n - Love of the game. The frontier of AI is the most interesting problem of our time. We put in long hours at high intensity to push the frontier forward.\n   \n    \n\n\nTHE PRODUCTION ENGINEERING TEAM\n\nExamples of key exciting problems the team is working on\n\n - Make tens of thousands of GPUs legible in real time: build the observability platform that turns raw telemetry into signal, from site-level health down to individual device and link. At 10 GW scale, you cannot operate what you cannot see.\n\n - Build the control plane every team at Fluidstack depends on: replace one-off tooling with a stable, versioned API surface that covers unified machine management, actual state inspection, and distributed command execution. One interface for the whole company, not a hundred scripts.\n\n - Make the system's view of itself always match reality: integrate fleet state as a machine-readable source of truth across provisioning, operations, and customer-facing platforms, so every new site and GPU generation lands cleanly from day zero.\n\n\nROLE SCOPE\n\n - Own the observability platform. Build and operate the data pipelines, decoration and correlation engine, and healthcheck framework that make the fleet legible — from site down to device and link. No other team should need to scrape production directly to answer a question.\n\n - Define and build the API surface for infrastructure. Design the contracts between production infrastructure and every tool that touches it. All other teams at Fluidstack use your tooling to manage and operate our hyperscale fleet.\n\n - Build the production control plane. Unified machine management, actual state inspection, distributed command execution — and the Kubernetes-based infrastructure that underpins it all.\n\n - Own fleet state as source of truth. SLOs, site lifecycle state, and integration with internal infrastructure management and customer-facing operations platforms. What the system says about itself should match reality, and you're accountable when it doesn't.\n\n - Land new hardware into the platform cleanly. ZTP, DHCP, DNS, artifacts — every new XPU generation and site integration goes through IaaS before production.\n   \n    \n\n\nWHAT WE'RE LOOKING FOR\n\nThe below is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, tell us where you would. https://jobs.ashbyhq.com/fluidstack/05c2e69c-42f9-4fcb-9cf0-a467aaf98f1c\n\n - You treat toil as a bug. If something requires a human to do it twice, you build the thing that makes it not require a human.\n\n - You design APIs that age well. You've felt the pain of a leaky abstraction at scale and you don't repeat it.\n\n - You move toward ambiguity, not away from it. You walk into the fog, build the map, and explain it to everyone else.\n\n - You learn at a steep slope. You reach real competence in an unfamiliar domain fast. We value this over existing expertise.\n\n - You carry a pager without flinching. You run the incident, write the postmortem, fix the systemic cause, and move on.\n\n - You're fluent with AI tooling. LLM APIs, MCP servers, and agentic frameworks, and you drive Claude Code, Cursor, or similar every day.\n\n - You've shipped production services that other teams depend on at sc","salary_min":175000,"salary_max":300000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","distributed-systems","data-pipeline","llm","api-design","backend"],"apply_url":"https://jobs.ashbyhq.com/fluidstack/bff2c500-d321-4bde-b251-9f7a2ef2d894/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-05T16:44:40.965Z","expires_at":"2026-08-14T14:16:28.920456Z","created_at":"2026-07-06T14:14:40.475597Z","updated_at":"2026-07-15T14:16:29.020452Z","company_name":"FluidStack","company_slug":"fluidstack","company_logo_url":"https://www.google.com/s2/favicons?domain=fluidstack.io\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a609e546-df8f-4c93-8714-5a628ce31b8d"},{"id":"f7ad5ec0-ec43-4639-b75f-b0908ac2f677","company_id":"cec3f1a8-c7e9-4ff6-a22d-19edaf0e2b25","title":"Software Engineer, Cloud Infrastructure","slug":"software-engineer-cloud-infrastructure-163f0422","description":"ABOUT FLUIDSTACK\n\nWe exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had to do. Powerful AI will be the biggest lever for human choice we've ever built - but only if models are aligned with what humanity actually wants. There are groups building AI who don't share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it.\n\n\nWe're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. We acquire power, design and build data centers, and operate them - with teams spanning hardware and software. Speed and scale are our key differentiators. Come be a part of building civilization-scale infrastructure for AI.\n\n\nWe hire people who care deeply about this problem space. If that is you, please apply!\n\n\n\n\nHOW WE OPERATE\n\n - Extreme ownership. Full autonomy. Own things end to end often taking on scope outside your core role without being asked to get things done.\n\n - Velocity. We drive everything forward as fast as possible.\n\n - First principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins.\n\n - Love of the game. The frontier of AI is the most interesting problem of our time. We put in long hours at high intensity to push the frontier forward. ownership. Full autonomy. Own things end to end often taking on scope outside your core role without being asked to get things done.\n\n - Velocity. We drive everything forward as fast as possible.\n\n - First principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins.\n\n - Love of the game. The frontier of AI is the most interesting problem of our time. We put in long hours at high intensity to push the frontier forward.\n   \n    \n\n\nTHE PRODUCTION ENGINEERING TEAM\n\nExamples of key exciting problems the team is working on\n\n - Make tens of thousands of GPUs legible in real time: build the observability platform that turns raw telemetry into signal, from site-level health down to individual device and link. At 10 GW scale, you cannot operate what you cannot see.\n\n - Build the control plane every team at Fluidstack depends on: replace one-off tooling with a stable, versioned API surface that covers unified machine management, actual state inspection, and distributed command execution. One interface for the whole company, not a hundred scripts.\n\n - Make the system's view of itself always match reality: integrate fleet state as a machine-readable source of truth across provisioning, operations, and customer-facing platforms, so every new site and GPU generation lands cleanly from day zero.\n\n\nROLE SCOPE\n\n - Own the observability platform. Build and operate the data pipelines, decoration and correlation engine, and healthcheck framework that make the fleet legible — from site down to device and link. No other team should need to scrape production directly to answer a question.\n\n - Define and build the API surface for infrastructure. Design the contracts between production infrastructure and every tool that touches it. All other teams at Fluidstack use your tooling to manage and operate our hyperscale fleet.\n\n - Build the production control plane. Unified machine management, actual state inspection, distributed command execution — and the Kubernetes-based infrastructure that underpins it all.\n\n - Own fleet state as source of truth. SLOs, site lifecycle state, and integration with internal infrastructure management and customer-facing operations platforms. What the system says about itself should match reality, and you're accountable when it doesn't.\n\n - Land new hardware into the platform cleanly. ZTP, DHCP, DNS, artifacts — every new XPU generation and site integration goes through IaaS before production.\n   \n    \n\n\nWHAT WE'RE LOOKING FOR\n\nThe below is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, tell us where you would. https://jobs.ashbyhq.com/fluidstack/05c2e69c-42f9-4fcb-9cf0-a467aaf98f1c\n\n - You treat toil as a bug. If something requires a human to do it twice, you build the thing that makes it not require a human.\n\n - You design APIs that age well. You've felt the pain of a leaky abstraction at scale and you don't repeat it.\n\n - You move toward ambiguity, not away from it. You walk into the fog, build the map, and explain it to everyone else.\n\n - You learn at a steep slope. You reach real competence in an unfamiliar domain fast. We value this over existing expertise.\n\n - You carry a pager without flinching. You run the incident, write the postmortem, fix the systemic cause, and move on.\n\n - You're fluent with AI tooling. 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We deliver innovative solutions to  hundreds of thousands of businesses  and empower millions of developers worldwide to craft personalized customer experiences.\n Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!\n . \n See yourself at Twilio \n Join the team as Twilio’s next Forward Deployed Engineer!\n About the job \n This position is needed to support the GTM Innovation team. As a Forward Deployed Engineer (FDE) at Twilio, you will be responsible for accelerating the adoption of new solutions and platform capabilities in incubation with our Top Global customers.\n Operating with a forward deployed engineering mindset, you will bridge the gap where many enterprise AI projects stall at the last mile. Specifically, you will own the technical delivery of the Solution Acceleration Program — going beyond isolated sandbox environments to embed alongside customer engineers and deploy their first low-risk production use case. You will run workshops and hackathons across Twilio's global sales base, build early adoption playbooks, and dramatically shorten the customer's path to value realization and ARR generation. In doing so, you will serve as a critical technical conduit, surfacing product signals and structured field insights that directly influence Twilio's core R\u0026D roadmaps.\n Responsibilities \n In this role, you’ll:\n \n Lead technical engagements end-to-end scoping solution architecture in POC workshops, designing and building production-grade systems, and driving the engagement through stabilization to the launch of the first live use case..\n Write and ship production code (Python, TypeScript, Node) directly in customer codebases — designing APIs, integrating with existing customer architecture, building proper error handling, observability, and test coverage — working as a hands-on contributor alongside customer engineers, not just an advisor.\n Architect solutions that pass customer Infosec, security, and Architecture Review Board (ARB) review, translating security and compliance requirements into concrete implementation decisions around auth, data handling, and infrastructure design.\n Lead high-energy customer hackathons and builder activation events at flagship or target Direct accounts to accelerate the adoption of new solutions.\n Build and maintain reusable technical assets — reference implementations, starter apps, SDKs, sample repos, and companion engineering guides — that demonstrate sound architecture and become the technical backbone for adoption across accounts.\n Partner with Enterprise Architects and Demo Platform Engineering to turn high-level reference architectures into working, deployable code that customer builder teams can extend on their own.\n Evangelize Twilio within the B2B builder communities of the target accounts by driving building of net new POCs and demos that bring to life architectures discussed at the C-suite, line of business levels in the sales cycles\n Utilize your software engineering expertise to ensure customers’ builder teams develop full understanding of and familiarity with the whole platform capabilities of the solutions being pitched or sold\n Work closely with the Demo Platform Engineering and Enterprise Architect teams to ensure C-suite positioning and the higher level reference architectures are properly activated within the builder communities of the target accounts\n Synthesize field insights from every production deployment to directly inform R\u0026D of necessary product improvements and feature requirements\n \n Qualifications  \n Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!\n *Required: \n \n 5+ years of hands-on software engineering experience, with a strong track record of shipping production code (Python, TypeScript, Node) in real systems — not just prototypes or demos.\n Solid grounding in software engineering fundamentals: API design, system architecture, testing, debugging, version control workflows, and CI/CD.\n Demonstrated experience running end-to-end technical engagements — from POC workshops through to production deployment\n Strong communication skills and executive presence, whethe","salary_min":201280,"salary_max":251600,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["healthcare","llm","api-design","agents","generative-ai","fine-tuning"],"apply_url":"https://job-boards.greenhouse.io/twilio/jobs/8039605","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-02T18:57:05Z","expires_at":"2026-08-14T14:11:26.763476Z","created_at":"2026-07-03T14:09:14.397741Z","updated_at":"2026-07-15T14:11:26.888816Z","company_name":"Twilio","company_slug":"twilio","company_logo_url":"https://www.google.com/s2/favicons?domain=twilio.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/910527fc-f4f8-47e9-9a42-c563ca6d0742"},{"id":"fe268311-fb55-4df2-a540-001aedd0fb51","company_id":"1f4520df-9fc1-4ace-a80b-6c3266f03e8a","title":"Software Engineer, Full Stack, Tinker","slug":"software-engineer-full-stack-tinker-53eb5109","description":"Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence. We're building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals. \n We are scientists, engineers, and builders who’ve created some of the most widely used AI products, including ChatGPT and Character.ai, open-weights models like Mistral, as well as popular open source projects like PyTorch, OpenAI Gym, Fairseq, and Segment Anything.\n About Tinker \n Tinker is our fine-tuning API that empowers researchers and developers to customize frontier AI to their needs — opening access to capabilities that have previously been concentrated in a handful of labs. We manage the infrastructure while allowing Tinkerers full flexibility in training open weights models with their own data, algorithms, and for their own needs. Tinker is rapidly adding new customers, features, and novel use-cases. We’re hiring to grow the platform alongside the Tinker community.\n About the Role\n We're looking for a full stack engineer to build and ship the products and services that Tinker users interact with every day. You'll work across frontend, backend, and infrastructure building the Tinker console, developer tools, and whatever Tinker needs most.\n What You’ll Do\n \n Build and extend Tinker's APIs and backend services in Python and Rust, from job submission and orchestration to billing and usage tracking.\n Ship user-facing product surfaces — console and future tools — with React and TypeScript.\n Improve the developer experience for Tinker users: SDK ergonomics, error messages, API design, onboarding flow.\n Improve system reliability, observability, and security across Tinker's production environment; participate in on-call.\n Build internal tooling that accelerates the Tinker research and infrastructure teams.\n \n Skills and Qualifications\n Minimum qualifications:\n \n Bachelor's degree or equivalent experience in computer science, engineering, or similar.\n Proficiency in at least one backend language (we use Python and Rust).\n Some familiarity with React, TypeScript, or mobile platforms.\n Thrive in a highly collaborative environment involving many, different cross-functional partners and subject matter experts.\n A bias for action with a mindset to take initiative to work across different stacks and different teams where you spot the opportunity to make sure something ships.\n \n Preferred qualifications — we encourage you to apply if you meet some but not all of these:\n \n 4+ years building backend systems in production.\n Experience designing and maintaining backend APIs at scale, especially for developer-facing platforms.\n Experience building tooling or products for ML training, fine-tuning, or inference workloads.\n Familiarity with distributed training infrastructure, job orchestration, and GPU scheduling.\n Ability to build high-quality, production-level UIs from prototype to polish.\n Experience with developer experience work — SDK design, CLI tooling, API ergonomics, documentation.\n \n Logistics\n \n Location: This role is based in San Francisco, California.\n Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD.\n Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.\n Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.\n As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. \n Thinking Machines Lab will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the California Fair Chance Act, the San Francisco Fair Chance Ordinance, and any other applicable state or local fair chance ordinance or law.","salary_min":350000,"salary_max":475000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["api-design","payments","distributed-systems","pytorch","fine-tuning","infrastructure","fullstack"],"apply_url":"https://job-boards.greenhouse.io/thinkingmachines/jobs/5290314008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-02T17:24:57Z","expires_at":"2026-08-14T14:20:13.818527Z","created_at":"2026-07-03T14:17:10.780043Z","updated_at":"2026-07-15T14:20:13.923421Z","company_name":"Thinking Machines","company_slug":"thinking-machines","company_logo_url":"https://www.google.com/s2/favicons?domain=thinkingmachin.es\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/fe268311-fb55-4df2-a540-001aedd0fb51"},{"id":"f687ed3d-5423-4986-a3d4-e5cae2d4a422","company_id":"19a78c6a-11dc-4d21-8273-0d2d2bad39b1","title":"Staff Software Engineer","slug":"staff-software-engineer-a38eaeda","description":"Toast is driven by building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. We are looking for a fullstack Staff Software Engineer to join the Toast IQ team to transform how Toast helps its customers run their restaurants.\n Toast IQ has landed with our users with much excitement and an appetite for us to deliver more capabilities across the entire Toast ecosystem.  We believe that if we do our job right, restaurants using Toast IQ will spend less hours on operations, make better margins, generate more revenue, and have a better guest and employee experience, compared to other restaurants outside and within the Toast ecosystem.\n This role includes responsibility for the experience delivered to our end users, the services backing that experience, and the integrations to other Toast products.\n A day in the life (Responsibilities) \n \n Join a collaborative team of Design, Product, QA, and other engineering members in developing robust and scalable full-stack software applications.\n Lead complex projects that improve functionality and reliability for our customers\n Provide design feedback and participate in code reviews to ensure implementation meet requirements\n Drive architectural discussions and influence the technical roadmap\n Advocate for best coding practices to raise the bar for you, your team, and the company\n Mentor and provide technical guidance to other team members\n Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team.\n \n What you'll need to thrive (Requirements) \n \n 8+ years of full-stack experience in Java, Kotlin, or other object-oriented languages, and modern web frameworks such as React.\n Proficient with modern web standards and technologies (e.g. REST, GraphQL)\n Proficient with non-relational data stores (e.g. DynamoDB)\n Experience with applied machine learning or large language models. \n Experience with distributed systems, enterprise messaging systems, and/or microservices\n Experience delivering high-quality, reliable services to production\n Excellent cross-team communication skills on complex technical topics\n Passionate about technology and learning new things\n \n AI at Toast \n At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.\n Our Total Rewards Philosophy  We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at  https://careers.toasttab.com/toast-benefits .\n This role is for a current vacancy.\n #LI-REMOTE\n The base salary range for this role is listed below. The starting salary will be determined based on skills, experience, and geographic location. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions if eligible), equity, and benefits. \n Pay Range \n $175,000 — $227,000 USD \n How Toast Uses AI in its Hiring Process \n Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring \n Our Approach to Hybrid Working We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the hospitality community, regardless of location. Please visit the Locations page on our career site to learn more about our in-office expectations by region:  https://careers.toasttab.com/locations-toast \n Diversity, Equity, and Inclusion is Baked into our Recipe for Success \n At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences.\n We Thrive Together","salary_min":175000,"salary_max":227000,"location":"Remote (Canada)","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["microservices","distributed-systems","llm","api-design"],"apply_url":"https://careers.toasttab.com/jobs?gh_jid=7818286","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-30T17:59:55Z","expires_at":"2026-08-14T14:11:50.725424Z","created_at":"2026-07-01T14:09:32.590841Z","updated_at":"2026-07-15T14:11:50.896601Z","company_name":"Toast","company_slug":"toast","company_logo_url":"https://www.google.com/s2/favicons?domain=pos.toasttab.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/f687ed3d-5423-4986-a3d4-e5cae2d4a422"},{"id":"4d0faf55-0a34-428c-aea7-7affb6feee8b","company_id":"fb64b18b-041a-43de-886d-f506d1ab94a4","title":"Sr. Director, Enterprise AI Platform Engineering","slug":"sr-director-enterprise-ai-platform-engineering-a68c17ae","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 Sr. Director, AI Enterprise Platform Engineering, you will build the AI foundation that every internal AI use case runs on top of. The platform you create will be the control plane through which all AI activity at SentinelOne is governed, observed, secured, and scaled — serving both custom-developed AI applications built by SentinelOne engineering teams and vendor-deployed AI solutions such as Claude Enterprise and Gemini Enterprise.\n What Will You Do?\n Primary responsibilities include :  \n \n Own and execute the roadmap for SentinelOne's enterprise AI platform — the Gateway, Harness, and Semantic Layers — moving us from direct-to-LLM connections to a governed, multi-model control plane.\n Design and build the AI Gateway layer: centralized identity and AuthN/Z, token budgeting, DLP and content guardrails, multi-model routing and failover, MCP allow-listing, and a full audit trail across every AI request.\n Build and operate the Harness layer: agent orchestration (LangGraph or equivalent), prompt construction and context management, memory and state across multi-turn interactions, model abstraction across Anthropic, OpenAI, Google, and others via providers such as AWS Bedrock and Vertex, and MCP/tool wiring for internal and SaaS-embedded agents. \n Own the technical roadmap for SentinelOne's Claude \u0026 Gemini Enterprise plugin framework — a growing library of role-based skills and agents that surface AI capabilities to employees in the context of their specific roles. This includes expanding coverage across more roles and use cases, maturing the way plugins are securely authored, tested, and deployed, and continuously improving the quality and reliability of each plugin's outputs.\n Partner closely with Enterprise Data, Enterprise Apps, Product Development, and Infosec to connect the platform to governed data sources, align on security controls, and ensure every integration is built on shared architectural contracts.\n Govern how agents — whether user-instantiated in Anthropic, Google, or OpenAI products, engineered by SentinelOne teams, embedded in SaaS platforms, or arriving from external partners — interact with our systems, ensuring every caller passes through the same policy controls regardless of origin.\n Hire, mentor, and technically lead a team of engineers; set standards, review architecture decisions, and create an environment where strong engineers do their best work.\n Communicate platform status, architecture decisions, and risk posture clearly to executive stakeholders.\n \n What Skills and Knowledge Will You Bring?\n Ideal candidates will have: \n \n You have built at least one production platform — AI or otherwise — that enforced centralized policy across multiple consumers: auth/AuthN/Z, rate limiting, observability, and audit logging. Bonus if that platform touched AI specifically (LLM gateway, model routing, or orchestration), but strong candidates from API platform, data platform, or developer platform backgrounds are equally welcome. What matters is that you can describe what you built, the tradeoffs you made, and what you'd do differently.\n Hands-on depth in agent orchestration (LangGraph or equivalent), including experience routing to hosted model providers such as AWS Bedrock and Google Vertex. 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