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We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.\n\nWe’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.\n\nWe obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.\n\nWe are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!\n\n\n\nABOUT NORTH:\n\nNorth https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.\n\n\n\n\nWHY THIS ROLE?\n\nThis role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications.\n\nWe’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one.\n\nNote: between 20 - 40% travel anticipated.\n\n\n\nIN THIS ROLE, YOU WILL:\n\n - Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies\n\n - Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance\n\n - Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualisation through production\n\n - Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution\n\n - Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams\n\n - Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization\n\n - Travel up to 20–40% to work on-site with customers and partners\n\n\n\nYOU MAY BE A GOOD FIT IF:\n\n - You have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code\n\n - You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute\n\n - You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks\n\n - You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency\n\n - You’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs\n\n - You have experience owning the full scope of a use case end-to-end\n\n - You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting\n\n\n\nIT'S A BONUS IF YOU HAVE:\n\n - Experience setting architectural standards for AI and agentic systems across distributed teams\n\n - Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it\n\n - Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms)\n\n - Experience with enterprise security, compliance, or auditability requirements for AI systems\n\n\n\nCohere is committed to fair and transparent pay practices. The salary range listed for this role reflects the expected base compensation. Actual compensation offered will be determined by factors such as location, level, job-rela","salary_min":175000,"salary_max":385000,"location":"San Francisco, CA","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"senior","tags":["agents","llm","rag","embeddings","payments","healthcare"],"apply_url":"https://jobs.ashbyhq.com/cohere/1fa01a03-9253-4f62-8f10-0fe368b38cb9/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-28T20:32:55.278Z","expires_at":"2026-09-28T13:31:52.334372Z","created_at":"2026-04-13T09:36:56.004203Z","updated_at":"2026-08-29T13:31:52.484021Z","company_name":"Cohere","company_slug":"cohere","company_logo_url":"https://www.google.com/s2/favicons?domain=cohere.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/2378d486-4c00-4313-98d9-dd8e3385e6f4"},{"id":"a4b7d145-78b5-46dc-a1d6-192b6a736049","company_id":"a0000000-0000-0000-0000-000000000009","title":"Forward Deployed Engineer, Agentic Platform","slug":"forward-deployed-engineer-agentic-platform-7033bcda","description":"Who are we?\n\nCohere is the leading security-first enterprise AI company.  We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.\n\nWe’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.\n\nWe obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.\n\nWe are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!\n\n\nABOUT NORTH:\n\nNorth https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.\n\n\n\nWHY THIS ROLE?\n\nThis role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications.\n\nWe’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one.\n\nNote: between 20 - 40% travel anticipated.\n\n\n\nIN THIS ROLE, YOU WILL:\n\n - Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies\n\n - Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance\n\n - Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualization through production\n\n - Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution\n\n - Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams\n\n - Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization\n\n - Travel up to 20–40% to work on-site with customers and partners\n\n\n\nYOU MAY BE A GOOD FIT IF:\n\n - You have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code\n\n - You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute\n\n - You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks\n\n - You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency\n\n - You’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs\n\n - You have experience owning the full scope of a use case end-to-end\n\n - You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting\n\n\n\nIT'S A BONUS IF YOU HAVE:\n\n - Experience setting architectural standards for AI and agentic systems across distributed teams\n\n - Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it\n\n - Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms)\n\n - Experience with enterprise security, compliance, or auditability requirements for AI systems\n\n\n\nCohere is committed to fair and transparent pay practices. The salary range listed for this role reflects the expected base compensation. Actual compensation offered will be determined by factors such as location, level, job-relate","salary_min":175000,"salary_max":385000,"location":"United States","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["healthcare","embeddings","agents","llm","rag","payments"],"apply_url":"https://jobs.ashbyhq.com/cohere/b0bcef37-1d20-414f-aade-c54942d63df9/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-28T20:30:58.199Z","expires_at":"2026-09-28T13:31:51.4745Z","created_at":"2026-04-13T09:36:54.973831Z","updated_at":"2026-08-29T13:31:51.624997Z","company_name":"Cohere","company_slug":"cohere","company_logo_url":"https://www.google.com/s2/favicons?domain=cohere.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a4b7d145-78b5-46dc-a1d6-192b6a736049"},{"id":"37e2e099-d7ce-4a9b-ab49-bb3c0fcdad65","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"AI Systems Engineer","slug":"ai-systems-engineer-bc554f3e","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 Team Overview\n Anduril’s Technical Publications organization supports complex hardware, software, autonomy, and defense systems across multiple divisions, business lines, and programs. The Product Manager, Technical Writing Systems, owns the authoring and publishing platform. This role builds the AI systems that extend that platform so the documentation pipeline handles more work at lower cost and lower latency.\n Role Specifics\n As the Applied LLM Systems Engineer, your mission is to design, build, and operate production AI systems that improve how technical documentation is created, transformed, validated, maintained, and delivered. You will build and maintain AI-assisted authoring, automated publishing, and multi-agent coordination tooling for the Technical Publications pipeline. This is not a prompt-writing role. It is a systems-engineering role for someone who has already delivered production AI systems, understands evaluation and rollback, and knows how to make probabilistic systems useful in enterprise environments with structured content, strict review requirements, security boundaries, and real operational consequences. The right candidate can expand system capability while managing token usage, context efficiency, and cost at scale.\n What You’ll Do\n \n Build production-grade LLM applications for documentation and knowledge-work workflows.\n Design orchestration for multi-step workflows that coordinate models, tools, and deterministic services safely.\n Optimize context management, token usage, caching, and workflow design for cost, latency, and task success.\n Build retrieval, structured-output, and tool-integrated systems that safely interact with enterprise content, source control, issue tracking, and documentation systems.\n Design evaluation frameworks and regression testing for prompts, models, tools, retrieval pipelines, and end-to-end workflows.\n Establish observability, auditability, rollback, and safe failure modes for AI-assisted workflows.\n Work directly with technical writers, illustrators, engineers, and documentation leadership to identify the highest-value places to apply AI and where human judgment should remain primary.\n Preserve provenance between source material, generated output, validation results, and human decisions so outputs remain reviewable, correctable, and attributable.\n \n Required Qualifications\n \n Ability to work on-site in Santa Ana, CA.\n 5+ years of professional software engineering experience, including building and operating production services.\n Direct experience delivering at least one production AI system with measurable adoption by its intended users.\n Experience optimizing cost, latency, and context usage in production LLM or workflow systems.\n Experience designing evaluation, observability, rollback, and failure-handling for nondeterministic systems.\n Strong proficiency in Python and modern API, data, and service-development practices, including software architecture, security boundaries, identity and access management, and data protection.\n Sound judgment about where probabilistic AI is appropriate and where deterministic software or human review is required.\n Must be eligible for Secret and higher security clearance (US).\n In this role, you will be subject to pre-employment and randomized substance screening, as required by the Company.\n \n Preferred Qualifications\n \n Experience designing multi-step orchestration or coordination systems across models, tools, and deterministic services.\n Experience with retrieval-augmented generation, structured outputs, tool calling, or other production LLM workflow patterns.\n Experience integrating AI capabilities into desktop or enterprise applications with limited native APIs.\n Experience in defense, aerospace, manufacturing, robotics, autonomy, aviation, or another regulated environment.\n Familiarity with technical documentation, structured authoring, content management, or comparable documentation-heavy workflows.\n Familiarity with S1000D, DITA, MIL-STD-40051, or comparable documentation frameworks.\n Experience with containerized services, cloud infrastructure, CI/CD, queues, event-driven architectures, or production monitoring.\n US Salary Range\n $191,000 — $253,000 USD \n The salary range for this ro","salary_min":191000,"salary_max":253000,"location":"Santa Ana, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["cloud","rag","llm","computer-vision","agents","payments","robotics"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5225164007?gh_jid=5225164007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-28T16:09:46Z","expires_at":"2026-09-28T13:37:39.57828Z","created_at":"2026-08-29T13:37:39.72932Z","updated_at":"2026-08-29T13:37:39.72932Z","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/37e2e099-d7ce-4a9b-ab49-bb3c0fcdad65"},{"id":"c373a55c-edc7-4941-8d08-2344dd5aecb8","company_id":"10c1ac82-83d5-423a-b438-4cc7b13d597c","title":"Deployed Architect, Professional Services (Remote)","slug":"solution-architect-remote-1a61487f","description":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.\n\nThis role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.\n\nThis role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.\n\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Infrastructure \u0026 Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines\n\n - Agent Engineering \u0026 Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations\n\n - Customer Engagement \u0026 Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams\n\n\nWHAT WE'RE LOOKING FOR\n\n\n\nREQUIRED EXPERIENCE\n\n7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply\n\nInfrastructure \u0026 Platform:\n\n - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)\n\n - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments\n\n - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices\n\n - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing\n\n - Experience designing high-availability and disaster recovery solutions\n\n - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)\n\n - Experience with CI/CD pipelines for infrastructure and applications\n\nAgent Engineering \u0026 Development:\n\n - 1+ years of experience building production AI/ML applications or agents\n\n - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications\n\n - Experience with state management patterns (short-term and long-term memory)\n\n - Experience designing and implementing evaluation frameworks for AI applications\n\n - Strong prompt engineering skills with experience in optimization and A/B testing\n\n - Experience with vector stores, RAG patterns, and knowledge organization\n\n - Experience with tool integration, API design, and error handling patterns\n\n - Strong Python and/or TypeScript development skills\n\nCustomer-Facing:\n\n - Customer-facing experience with enterprise customers\n\n - Experience conducting technical assessments or infrastructure audits\n\n - Strong communication skills with abil","salary_min":170000,"salary_max":215000,"location":"Los Angeles, CA","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"senior","tags":["api-design","rag","agents","llm"],"apply_url":"https://jobs.ashbyhq.com/langchain/0a5dd30c-6da1-4095-bd96-b16f27eeb333/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-27T21:37:46.064Z","expires_at":"2026-09-28T13:32:13.209515Z","created_at":"2026-08-25T18:26:42.82559Z","updated_at":"2026-08-29T13:32:13.364595Z","company_name":"LangChain","company_slug":"langchain","company_logo_url":"https://www.google.com/s2/favicons?domain=langchain.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/c373a55c-edc7-4941-8d08-2344dd5aecb8"},{"id":"f98249b2-813f-48ef-91e4-d2e791004bd2","company_id":"10c1ac82-83d5-423a-b438-4cc7b13d597c","title":"Deployed Architect, Professional Services (Dallas)","slug":"solution-architect-dallas-51e1819a","description":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.\n\nThis role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.\n\nThis role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.\n\n\n\nKEY RESPONSIBILITIES\n\n - Infrastructure \u0026 Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines\n\n - Agent Engineering \u0026 Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations\n\n - Customer Engagement \u0026 Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams\n\n\nWHAT WE'RE LOOKING FOR\n\n\n\nREQUIRED EXPERIENCE\n\n7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply\n\nInfrastructure \u0026 Platform:\n\n - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)\n\n - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments\n\n - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices\n\n - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing\n\n - Experience designing high-availability and disaster recovery solutions\n\n - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)\n\n - Experience with CI/CD pipelines for infrastructure and applications\n\nAgent Engineering \u0026 Development:\n\n - 1+ years of experience building production AI/ML applications or agents\n\n - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications\n\n - Experience with state management patterns (short-term and long-term memory)\n\n - Experience designing and implementing evaluation frameworks for AI applications\n\n - Strong prompt engineering skills with experience in optimization and A/B testing\n\n - Experience with vector stores, RAG patterns, and knowledge organization\n\n - Experience with tool integration, API design, and error handling patterns\n\n - Strong Python and/or TypeScript development skills\n\nCustomer-Facing:\n\n - Customer-facing experience with enterprise customers\n\n - Experience conducting technical assessments or infrastructure audits\n\n - Strong communication skills with abilit","salary_min":170000,"salary_max":215000,"location":"Dallas, TX","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"senior","tags":["llm","agents","rag","api-design"],"apply_url":"https://jobs.ashbyhq.com/langchain/933a41a3-43ca-44de-a0ae-f541149151b7/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-27T21:37:02.909Z","expires_at":"2026-09-28T13:32:12.833709Z","created_at":"2026-08-25T18:26:42.797861Z","updated_at":"2026-08-29T13:32:12.984235Z","company_name":"LangChain","company_slug":"langchain","company_logo_url":"https://www.google.com/s2/favicons?domain=langchain.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/f98249b2-813f-48ef-91e4-d2e791004bd2"},{"id":"33db21e5-9d88-4de6-b2d0-3c134c649a65","company_id":"10c1ac82-83d5-423a-b438-4cc7b13d597c","title":"Deployed Architect, Professional Services (Austin)","slug":"solution-architect-austin-318d756c","description":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.\n\nThis role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.\n\nThis role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.\n\n\n\nKEY RESPONSIBILITIES\n\n - Infrastructure \u0026 Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines\n\n - Agent Engineering \u0026 Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations\n\n - Customer Engagement \u0026 Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams\n\n\nWHAT WE'RE LOOKING FOR\n\n\n\nREQUIRED EXPERIENCE\n\n7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply\n\nInfrastructure \u0026 Platform:\n\n - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)\n\n - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments\n\n - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices\n\n - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing\n\n - Experience designing high-availability and disaster recovery solutions\n\n - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)\n\n - Experience with CI/CD pipelines for infrastructure and applications\n\nAgent Engineering \u0026 Development:\n\n - 1+ years of experience building production AI/ML applications or agents\n\n - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications\n\n - Experience with state management patterns (short-term and long-term memory)\n\n - Experience designing and implementing evaluation frameworks for AI applications\n\n - Strong prompt engineering skills with experience in optimization and A/B testing\n\n - Experience with vector stores, RAG patterns, and knowledge organization\n\n - Experience with tool integration, API design, and error handling patterns\n\n - Strong Python and/or TypeScript development skills\n\nCustomer-Facing:\n\n - Customer-facing experience with enterprise customers\n\n - Experience conducting technical assessments or infrastructure audits\n\n - Strong communication skills with abilit","salary_min":170000,"salary_max":215000,"location":"Austin, TX","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["api-design","rag","llm","agents"],"apply_url":"https://jobs.ashbyhq.com/langchain/da7cbabd-ceed-4d7d-ae25-f226cac0c1c1/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-27T21:35:30.849Z","expires_at":"2026-09-28T13:32:12.741976Z","created_at":"2026-08-25T18:26:42.792069Z","updated_at":"2026-08-29T13:32:12.890105Z","company_name":"LangChain","company_slug":"langchain","company_logo_url":"https://www.google.com/s2/favicons?domain=langchain.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/33db21e5-9d88-4de6-b2d0-3c134c649a65"},{"id":"a6cb1a62-a2ae-4b86-bb0a-c7210c241a8f","company_id":"10c1ac82-83d5-423a-b438-4cc7b13d597c","title":"Deployed Architect, Professional Services (NYC)","slug":"solution-architect-nyc-299c723c","description":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.\n\nThis role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.\n\nThis role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.\n\n\n\nKEY RESPONSIBILITIES\n\n - Infrastructure \u0026 Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines\n\n - Agent Engineering \u0026 Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations\n\n - Customer Engagement \u0026 Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams\n\n\nWHAT WE'RE LOOKING FOR\n\n\n\nREQUIRED EXPERIENCE\n\n7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply\n\nInfrastructure \u0026 Platform:\n\n - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)\n\n - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments\n\n - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices\n\n - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing\n\n - Experience designing high-availability and disaster recovery solutions\n\n - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)\n\n - Experience with CI/CD pipelines for infrastructure and applications\n\nAgent Engineering \u0026 Development:\n\n - 1+ years of experience building production AI/ML applications or agents\n\n - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications\n\n - Experience with state management patterns (short-term and long-term memory)\n\n - Experience designing and implementing evaluation frameworks for AI applications\n\n - Strong prompt engineering skills with experience in optimization and A/B testing\n\n - Experience with vector stores, RAG patterns, and knowledge organization\n\n - Experience with tool integration, API design, and error handling patterns\n\n - Strong Python and/or TypeScript development skills\n\nCustomer-Facing:\n\n - Customer-facing experience with enterprise customers\n\n - Experience conducting technical assessments or infrastructure audits\n\n - Strong communication skills with abilit","salary_min":170000,"salary_max":215000,"location":"New York, NY","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["api-design","rag","agents","llm"],"apply_url":"https://jobs.ashbyhq.com/langchain/f71210f9-12e1-4726-88b9-ebafa194d5b2/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-27T21:34:57.75Z","expires_at":"2026-09-28T13:32:12.640525Z","created_at":"2026-08-25T18:26:42.786487Z","updated_at":"2026-08-29T13:32:12.79787Z","company_name":"LangChain","company_slug":"langchain","company_logo_url":"https://www.google.com/s2/favicons?domain=langchain.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a6cb1a62-a2ae-4b86-bb0a-c7210c241a8f"},{"id":"9db2d343-2be2-476f-8816-846f2bbf743b","company_id":"10c1ac82-83d5-423a-b438-4cc7b13d597c","title":"Deployed Architect, Professional Services (San Francisco)","slug":"solution-architect-san-francisco-576342e0","description":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.\n\nThis role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.\n\nThis role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.\n\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Infrastructure \u0026 Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines\n\n - Agent Engineering \u0026 Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations\n\n - Customer Engagement \u0026 Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams\n\n\nWHAT WE'RE LOOKING FOR\n\n\n\nREQUIRED EXPERIENCE\n\n7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply\n\nInfrastructure \u0026 Platform:\n\n - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)\n\n - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments\n\n - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices\n\n - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing\n\n - Experience designing high-availability and disaster recovery solutions\n\n - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)\n\n - Experience with CI/CD pipelines for infrastructure and applications\n\nAgent Engineering \u0026 Development:\n\n - 1+ years of experience building production AI/ML applications or agents\n\n - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications\n\n - Experience with state management patterns (short-term and long-term memory)\n\n - Experience designing and implementing evaluation frameworks for AI applications\n\n - Strong prompt engineering skills with experience in optimization and A/B testing\n\n - Experience with vector stores, RAG patterns, and knowledge organization\n\n - Experience with tool integration, API design, and error handling patterns\n\n - Strong Python and/or TypeScript development skills\n\nCustomer-Facing:\n\n - Customer-facing experience with enterprise customers\n\n - Experience conducting technical assessments or infrastructure audits\n\n - Strong communication skills with abil","salary_min":170000,"salary_max":215000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","rag","api-design","llm"],"apply_url":"https://jobs.ashbyhq.com/langchain/e12d7176-8b9f-438a-8f3b-0cbbffab9c5c/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-27T21:34:31.9Z","expires_at":"2026-09-28T13:32:11.120299Z","created_at":"2026-08-25T18:26:42.712816Z","updated_at":"2026-08-29T13:32:11.270774Z","company_name":"LangChain","company_slug":"langchain","company_logo_url":"https://www.google.com/s2/favicons?domain=langchain.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/9db2d343-2be2-476f-8816-846f2bbf743b"},{"id":"3e2df0c0-ff4d-425d-92f8-e7659ec6ac10","company_id":"6734f15a-40ed-4186-ae4a-d774c655ae58","title":"Associate Director, App   ","slug":"associate-director-app-6167d1da","description":"Your Impact at LILA \n Scientists shouldn't have to context-switch between a dozen tools to go from hypothesis to result. We're building the platform that makes this a reality — and we need engineering leaders who want to build the team that solves problems no one has solved before.\n We're hiring an Associate Director of Engineering, Application Team to lead the engineers designing the agents, interfaces, and platform integrations that let researchers seamlessly collaborate with AI.\n About The Team \n The Application Team sits at the center of LILA — the integration point where Machine Learning, Life Sciences, Physical Sciences, and Software become one AI-native experience that carries a scientist from hypothesis to experiment to breakthrough results.\n \n AI isn't a feature here — it's the architecture. Agent frameworks, tools, and LLM orchestration are core primitives, not bolt-ons.\n The problems are genuinely hard. Connecting AI to automated lab workflows, ML pipelines, and multi-domain knowledge graphs means inventing patterns, not copying them.\n You'll lead engineers who learn domains they never expected. Working shoulder-to-shoulder with lab scientists and ML engineers means your team's technical surface area grows fast.\n Your team ships things that matter. The tools they build accelerate research timelines from months to days.\n \n If you want to lead at the intersection of AI and science, move fast, and grow the kind of team that can architect systems that don't exist yet — we want to talk.\n What You'll Be Building \n \n Team Leadership: Build, mentor, and manage a high-performing team of 8-10 engineers spanning full-stack, agent, and platform expertise. Foster a culture of collaboration, ownership, and continuous improvement; conduct performance reviews, provide feedback, and identify opportunities for growth. Manage team workload, prioritize projects, and ensure timely delivery of high-quality solutions.\n Technical Strategy \u0026 Execution: Define and execute the technical roadmap for LILA's application layer aligning with LILA's broader AI and product strategy. Drive innovation in how scientists interact with AI-driven systems.\n Product Delivery: Own end-to-end delivery of the application platform — chat, agents, artifacts, and the integrations connecting them to lab workflows and ML pipelines — ensuring reliability, performance, and security across everything the team ships.\n Cross-Functional Collaboration: Partner with ML researchers, scientists, product managers, and other engineering leaders to understand scientific workflows and translate them into product capabilities. Communicate technical concepts effectively to both technical and non-technical audiences; manage expectations and ensure alignment across teams.\n Engineering Thought Leadership: Represent LILA's applied-AI work externally through conferences, presentations, and writing — helping attract top talent and establishing LILA's leadership at the intersection of AI and science.\n \n What You'll Need To Succeed \n \n Bachelor's or Master's degree in Computer Science, Engineering, or related field.\n 12+ years of engineering experience building and deploying large-scale production systems, with 5+ years leading senior engineers.\n Track record of building and growing high-performing engineering teams in high-growth or early-stage environments where speed-to-value mattered as much as long-term architecture.\n Deep technical judgment on Applied AI (agents, MCP, context engineering) and across the full stack (React, TypeScript, Python, FastAPI, SQL/NoSQL, AWS, Kubernetes).\n Hands-on experience — personally and on the teams you've led — using AI coding assistants and agentic tooling to drive productivity.\n Proven ability to define technical strategy, drive it to execution, and balance trade-offs between scalability, performance, delivery speed, and maintainability.\n Acute listening skills and a proven track record of partnering cross-functionally with scientists, ML engineers, product, and design; able to explain complex ideas to diverse audiences.\n \n Bonus Points For \n \n Applied AI Engineering leadership: Experience shipping products built on AI agents, graph-based workflows, tool-use protocols (MCP), RAG pipelines, or LLM orchestration frameworks.\n AI-native product intuition: A point of view on what \"good\" looks like for chat, agent, and copilot experiences — and how to evolve it as the underlying models improve.\n Cloud \u0026 DevOps depth: Familiarity with AWS, Kubernetes, infrastructure-as-code (Terraform, CloudFormation), and CI/CD (GitHub Actions).\n Thought leadership in the applied-AI community via conference talks, blog posts, or open source.\n Scientific domain exposure: Experience with laboratory software, analytics for life sciences or material sciences, or adjacent scientific computing domains.\n Compensation \n We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect ","salary_min":204000,"salary_max":306000,"location":"Boston, MA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["llm","agents","rag","code-generation"],"apply_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4371404009","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-27T18:15:38Z","expires_at":"2026-09-28T13:49:50.663204Z","created_at":"2026-08-29T13:49:50.880603Z","updated_at":"2026-08-29T13:49:50.880603Z","company_name":"Lila Sciences","company_slug":"lila-sciences","company_logo_url":"https://www.google.com/s2/favicons?domain=lila.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/3e2df0c0-ff4d-425d-92f8-e7659ec6ac10"},{"id":"0c041284-ced0-4d3e-bc76-8e40c29f632e","company_id":"d8e15a46-b80d-4228-8e7b-34f00357f377","title":"UX \u0026 Front End Engineer, AI ","slug":"ux-front-end-engineer-ai-192b5fbc","description":"Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.\n What is The Role \n \n The Elastic IT team is shifting beyond standard chat interfaces to craft the next frontier of generative and agentic AI experiences. We are looking for an innovative UX Engineer to join our team to bridge the gap between powerful AI capabilities and intuitive, delightful user interfaces that accelerate productivity across the entire organization. \n \n Our ideal candidate is a skilled front-end engineer with hands-on experience designing and building AI user experiences (e.g., streaming text, dynamic prompt workflows, agent reasoning visualizations, and multi-modal interaction patterns). In this role, you will leverage the latest AI technologies and the Elastic Stack (including ESRE, Agent Builder, Workflows and eUI) to build high-performance front-end applications for a suite of internal products and platforms. Driven by a user-centered mindset, you will act as a key collaborator between AI back-end engineers, product managers, and user groups to turn complex AI reasoning into seamless human-AI interactions. By shaping how enterprise users interact with generative AI, you will enable our global workforce while showcasing the boundary-pushing capabilities of Elastic's products. \n \n Are you ready to design and build the interfaces that supercharge enterprise productivity and prove what’s possible with Elastic? Join us to create AI user experiences that turn collective knowledge into instant action, empowering everyone at Elastic to achieve more. \n What You Will Be Doing \n \n \n AI UI/UX Design \u0026 Implementation: Translate complex generative and agentic AI processes into intuitive, responsive, and engaging front-end interfaces. \n \n Front-End Architecture: Design, build, and maintain front-end UI component libraries. These libraries should be scalable, accessible, and reusable and will be created for generative AI interactions. You will use modern frameworks like React and TypeScript. \n \n Human-AI Interaction Patterns: Prototype and implement novel interaction patterns for conversational AI, agent execution visibility (thought logs, tool calls), prompt systems, and rich dynamic outputs. \n \n Performance \u0026 Streaming Optimization: Optimize UI performance for real-time AI responses, managing token streaming latency, async state management, and optimistic UI updates. \n \n Enterprise Grounding \u0026 Integration: Connect front-end interfaces to internal services. This includes Retrieval Augmented Generation (RAG) endpoints. It also includes Elasticsearch Relevance Engine (ESRE) and agent orchestration APIs. \n \n User-Centered Collaboration: Partner closely with UX designers, product managers, and AI backend engineers to iteratively test and refine AI workflows based on real user feedback. \n \n Accessibility \u0026 Design Systems: Ensure all front-end interfaces strictly adhere to web accessibility standards (WCAG) and align seamlessly with Elastic's core design system (EUI). \n \n AI Observability \u0026 UX Analytics: Implement front-end tracking to monitor user satisfaction, prompt effectiveness , interaction latency, and interface usability. \n \n Documentation: Maintain comprehensive documentation for UI component systems, front-end architecture, and design pattern guidelines. \n \n What You Bring \n \n \n Proven Success in AI UX: Recent experience creating user interfaces for GenAI applications is important. This includes working with conversational interfaces, dynamic prompt builders, and complex agent workflows. \n \n Front-End Mastery: Deep expertise in modern TypeScript , JavaScript , React , HTML5, and CSS/Sass, with an emphasis on modular architecture. \n \n State Management \u0026 Streaming: Deep experience managing complex asynchronous UI state, WebSockets, and Server-Sent Events (SSE) for streaming LLM responses. \n \n UX/UI Design Foundations: Proficient background or active practice in user experience design, wireframing, design systems, and rapid prototyping. \n \n An Appetite to Master Elastic: A solid desire to learn and leverage the Elasticsearch Relevance Engine (ESRE) , Elastic UI (EUI), and the broader Elastic ecosystem. \n \n AI Framework \u0026 API Integration: Experience with integrating front-end systems with AI/LLM backend services and orchestration tools (e.g., LangGraph, REST/GraphQL APIs). \n \n Design System Integration: Experience extending and contributing to enterprise design systems ","salary_min":133200,"salary_max":210700,"location":"United States","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["llm","rag","generative-ai","api-design","agents","search"],"apply_url":"https://jobs.elastic.co/jobs?gh_jid=8154995\u0026gh_jid=8154995","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-26T21:40:36Z","expires_at":"2026-09-28T13:39:58.259643Z","created_at":"2026-08-27T13:39:42.154555Z","updated_at":"2026-08-29T13:39:58.41094Z","company_name":"Elastic","company_slug":"elastic","company_logo_url":"https://www.google.com/s2/favicons?domain=www.elastic.co\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/0c041284-ced0-4d3e-bc76-8e40c29f632e"},{"id":"e17eda01-e317-4c5f-9dae-d8e3404b1b2e","company_id":"ec4a8bb4-3840-4054-8ccd-77e81db037af","title":"Data Scientist/Senior Data Scientist","slug":"data-scientistsenior-data-scientist-565352fb","description":"C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI \n As a member of the C3 AI Data Science team , you will work with some of the largest companies on the planet helping them build the next generation of AI-powered enterprise applications on the C3 AI Platform. You will work directly with data scientists, AI engineers, and subject matter experts to design and deploy AI capabilities that give our customers the information they need to make better decisions and accelerate their digital transformation. You will identify the right AI approaches for each problem and implement them on the C3 AI Platform so they run reliably at enterprise scale.\n Qualified candidates will have deep knowledge of modern AI and ML techniques — including large language models, agentic systems, and classical statistical methods — along with a clear understanding of their limitations and how to adapt them to large-scale production environments. Some travel is expected.\n Note: This is a client-facing position which requires travel. Candidates should have the ability and willingness to travel based on business needs. \n Responsibilities: \n \n Lead the research, design, implementation, and deployment of AI models, agentic solutions, and optimization algorithms for enterprise applications on the C3 AI Platform.\n Partner with C3 AI customers to build and scale their own AI applications on the Platform.\n Contribute to the design and implementation of new AI capabilities within the C3 AI Platform.\n Analyze model performance across enterprise deployments, diagnose issues such as poor recall or false positive rates, and recommend targeted improvements.\n Collaborate with data engineers and subject matter experts from C3 AI and customer teams to source, validate, and correctly leverage new data assets.\n \n Qualifications: \n \n MS or PhD in Computer Science, Electrical Engineering, Statistics,   Operations Research, or a related field.\n Hands-on AI experience spanning generative AI, agentic systems, supervised and unsupervised learning, and classical regression and classification.\n Strong mathematical foundation in linear algebra, calculus, probability, and statistics.\n Experience building and deploying models at scale in distributed or cloud-native environments.\n Ability to drive projects independently and collaborate effectively across technical and non-technical teams.\n Sharp, motivated, and focused on making a real impact.\n Excellent verbal and written communication skills.\n \n Preferred Qualifications: \n \n Proficiency in Python; experience with JavaScript, Java, or Scala is a plus.\n Familiarity with LLM frameworks (e.g., LangChain, LlamaIndex), vector databases, or RAG architectures.\n A portfolio of AI projects (GitHub, publications, or open-source contributions) is a plus.\n C3 AI provides excellent benefits, a competitive compensation package and generous equity plan. \n California Base Pay Range\n $136,000 — $183,000 USD \n C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.","salary_min":136000,"salary_max":183000,"location":"Redwood City, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","generative-ai","rag","embeddings","llm","data-science"],"apply_url":"https://c3.ai/job-description/8751111002?gh_jid=8751111002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-26T17:07:29Z","expires_at":"2026-09-28T13:40:51.985366Z","created_at":"2026-08-27T13:40:52.550205Z","updated_at":"2026-08-29T13:40:52.13633Z","company_name":"C3 AI","company_slug":"c3-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=c3.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/e17eda01-e317-4c5f-9dae-d8e3404b1b2e"},{"id":"253c13f4-0eef-4662-ba68-c99e77924251","company_id":"adc4981a-d4ff-4939-952f-362f51e1291d","title":"Sr. Manager, Security Engineering","slug":"sr-manager-security-engineering-e11dfd0b","description":"Our Mission: \n 6sense's mission is to multiply what matters: growth, retention, and efficiency.  We envision a future where companies, teams and people reach their full potential.\n Our People: \n People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Win as One Team, Stay Curious, Do The Right Thing, Own the Outcome, and Create Belonging.  Every 6sensor plays a part in defining the future of our industry-leading technology.  6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers.  We want 6sense to be the best chapter of your career. \n \n Senior Manager, Security Engineering\n Business Technology, Security \n REPORTING AREA\n Security - CISO\n FUNCTION\n Business Technology\n TEAM MODEL\n United States and India\n LEADERSHIP SCOPE\n Application/Product Security; Infrastructure/Cloud Security; Vulnerability Management\n ROLE TYPE\n Leader with technical depth\n ENVIRONMENT\n AI-first, cloud-native SaaS\n Role Purpose\n Lead the security engineering organization that protects 6sense's AI-enabled, cloud-native SaaS platform. This leader owns Vulnerability Operations, Infrastructure Security, and Application/Product Security, and is accountable for building scalable security capabilities that enable rapid product delivery without compromising customer trust, resilience, or compliance. The role leads a distributed team across the United States and India and combines strategic leadership with credible technical judgment.\n Leadership Mandate\n \n Build one integrated security engineering operating model across the three teams, with clear ownership, service expectations, priorities, and measurable outcomes.\n Partner with Product, Engineering, Cloud Infrastructure, Data, AI/ML, Security Operations, Privacy, GRC, and Enterprise Technology leaders to embed security into planning and delivery.\n Create an inclusive, high-accountability culture across time zones using clear decisions, durable documentation, effective handoffs, and intentional overlap for critical work.\n Balance hands-on technical engagement with people leadership, program ownership, stakeholder influence, and executive-level risk communication.\n \n Core Responsibilities\n 1. Organization and People Leadership\n \n Lead, coach, and develop managers and engineers across the United States and India. Establish role clarity, career paths, succession coverage, and consistent performance expectations.\n Create an operating cadence that supports asynchronous execution, reliable cross-region handoffs, rapid escalation, and shared accountability.\n Build workforce and capacity plans aligned to product growth, AI investment, risk, and business priorities.\n Foster a culture of constructive challenge, disagree and commit, continuous learning, quality, and automation-first improvement.\n \n 2. AI and Product Security\n \n Own the security strategy for AI-enabled product capabilities from design through production, including threat modeling, architecture review, secure development standards, testing, monitoring, and release readiness.\n Address AI-specific risks such as prompt injection, insecure tool or agent access, sensitive-data exposure, model and data pipeline integrity, excessive agency, abuse, and third-party model or service dependencies.\n Partner with AI/ML, Product, and Engineering teams to define secure patterns for models, agents, retrieval-augmented generation, application programming interfaces, data access, and human approval controls.\n Advance product security practices including secure software development lifecycle controls, code and design review, application security testing, penetration testing, security champions, and coordinated vulnerability disclosure or bug bounty.\n \n 3. Vulnerability Operations\n \n Own end-to-end vulnerability discovery, prioritization, remediation governance, exception management, and validation across applications, cloud infrastructure, containers, endpoints, operating systems, and third-party components.\n Move beyond severity-only prioritization by incorporating exploitability, internet exposure, asset criticality, data sensitivity, available compensating controls, and active threat intelligence.\n Improve remediation speed and predictability through automation, clear service-level objectives, transparent ownership, and decision-ready reporting.\n Establish effective coverage for software supply chain risk, including open-source dependencies, build systems, artifacts, secrets, and continuous integration and delivery pipelines.\n \n 4. Infrastructure and Cloud Security\n \n Own preventive and detective security guardrails for the AWS environment, infrastructure as code, containers, identity and access, network boundaries, workloads, secrets, logging, and data services.\n Partner with Infrastructure and Platform Engineering to make secure cloud patterns easy to adopt and to reduce reliance on man","salary_min":204721,"salary_max":254258,"location":"New York, NY","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["rag","security","agents","data-pipeline","alignment","llm","cloud"],"apply_url":"https://boards.greenhouse.io/6sense/jobs/8139157?gh_jid=8139157","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-26T13:37:13Z","expires_at":"2026-09-28T13:41:52.041844Z","created_at":"2026-08-26T13:41:05.372167Z","updated_at":"2026-08-29T13:41:52.194748Z","company_name":"6sense","company_slug":"6sense","company_logo_url":"https://www.google.com/s2/favicons?domain=6sense.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/253c13f4-0eef-4662-ba68-c99e77924251"},{"id":"42d0b3d6-fb09-4db9-9c43-b451572a2005","company_id":"da5cfe83-4fb2-4ab3-9392-94069a77ae59","title":"Staff/Senior Staff Software Engineer, Agentic Search","slug":"senior-staff-software-engineer-agentic-search-c4676bc8","description":"Ironclad is the leading AI contracting platform that transforms agreements into assets. Contracts move faster, insights surface instantly, and agents push work forward, all with you in control.  Whether you’re buying or selling, Ironclad unifies the entire process on one intelligent platform, providing leaders with the visibility they need to stay one step ahead. That’s why the world’s most transformative organizations, from Rivian to the World Health Organization and the Associated Press, trust Ironclad to accelerate their business.\n\n\nWe’re consistently recognized as a leader in the industry: a Leader in the Forrester Wave and Gartner Magic Quadrant for Contract Lifecycle Management, a Fortune Great Place to Work, and one of Fast Company’s Most Innovative Workplaces. Ironclad has also been named to Forbes’ AI 50  and Business Insider’s list of Companies to Bet Your Career On. We’re backed by leading investors including Accel, Y Combinator, Sequoia, BOND, and Franklin Templeton. For more information, visit www.ironcladapp.com http://www.ironcladapp.com or follow us on LinkedIn.\n\n\n\n\nABOUT THE ROLE\n\nIronclad's Intelligence Platform team owns Agent Assistant, Conversational Search, and Content Understanding — the systems that help customers and AI agents understand, find, and act on the right contract information. These are the flagship AI capabilities of our product, built and operated by a combined team of ML and ML infrastructure engineers.\n\nWe have multiple roles open, and are hiring a range of levels — Staff and Senior Staff. As a Staff or Senior Staff Engineer, Agentic Search, you'll own the architecture that combines LLMs and retrieval systems to answer complex, ambiguous questions about a customer's contracts, and you'll set the technical direction that other engineers across the AI organization build on. You'll partner closely with product, applied science, and engineering leaders to raise the company's search quality bar, and you'll bring the technical depth and eval-driven rigor to turn ambiguous problems into shipped, measurable improvements. Scope and ownership will be calibrated to level.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own agentic search architecture. Design and evolve the systems that combine LLMs and retrieval to produce optimal answers to complex or ambiguous questions.\n\n - Drive eval-driven development. Design and run the benchmarks and experiments that measure search quality, and use that feedback to continuously improve the system.\n\n - Raise the search quality bar. Contribute to and influence the company's overall search quality standard.\n\n - Own content understanding and ingestion. Turn raw documents into processed data that retrieval systems can consume, by building and using NLP/LLM models and pipelines.\n\n - Set technical direction. Define architectural decisions and technical direction that other engineers across the AI organization build on.\n\n\nQUALIFICATIONS\n\n - 10+ years building production systems, with a substantial portion in search, information retrieval, content understanding, or recommendation systems at meaningful scale.\n\n - Demonstrated depth in one of: learned/hybrid retrieval (lexical + vector + reranking), query understanding/NLU pipelines, or production LLM agent systems — ideally more than one.\n\n - Experience with search frameworks (Elasticsearch or equivalent — Solr, Vespa, OpenSearch; embedding search) in production, including relevance tuning and reranking.\n\n - Fluency with modern LLM APIs and multi-provider orchestration (Anthropic, OpenAI, Google) — reasoning about token budgets, provider-specific tool-calling semantics, and prompt-caching trade-offs.\n\n - Experience building eval-driven workflows — offline benchmarks, regression detection, structured A/B comparison — as opposed to shipping and hoping.\n\n - Strong autonomy, ownership, and technical leadership across teams, including mentoring senior engineers and driving architectural decisions.\n\n - Comfortable operating in a dynamic, fast-paced, outcome-driven environment.\n\n\nGREAT TO HAVE\n\n - Hands-on experience with post-training algorithms and infrastructure, including SFT and RL.\n\n - Experience with content understanding and/or information retrieval in structured-document-heavy domains.\n\n - Prior work on RAG systems involving data sources in different formats (Google Docs, PDFs, DOCX, etc.).\n\n\n\n\n\nBASE SALARY RANGES\n\n - Staff: $188,000 - $235,000\n\n - Senior Staff: $220,000 - $270,000\n\nThe base salary range represents the minimum and maximum of the salary range for this position based at our San Francisco headquarters. The actual base salary offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our base salary is just one component of Ironclad's competitive total rewards package, which also includes equity awards (a new hire grant, along with opportunities for additional awards throughout ","salary_min":220000,"salary_max":270000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["nlp","search","rag","agents","llm"],"apply_url":"https://jobs.ashbyhq.com/ironcladhq/4be2d35a-9aa0-415c-ba13-30da080158ad/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-25T20:47:44.879Z","expires_at":"2026-09-28T13:42:10.678574Z","created_at":"2026-08-26T13:41:23.863704Z","updated_at":"2026-08-29T13:42:10.830977Z","company_name":"Ironclad","company_slug":"ironclad","company_logo_url":"https://www.google.com/s2/favicons?domain=ironcladapp.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/42d0b3d6-fb09-4db9-9c43-b451572a2005"},{"id":"0dad12d0-3282-4119-8593-12fef77bf79e","company_id":"b4787255-dacd-444b-8e44-bb9971ec1f36","title":"Principal Software Engineer - PA172","slug":"principal-software-engineer-pa172-a0f1fa6e","description":"ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast.\n \n As a  Principal Engineer on our Advertising, Company Intelligence, and Intent team, you’ll help design and implement the core systems that power our real-time marketing platform. From high-throughput ad infrastructure to large-scale identity resolution and intelligent systems enhanced by LLMs, push the boundaries of scale, intelligence, and speed—and deliver real-world business impact.\n You’ll be joining a team with a broad range of ambitious, technically deep projects—from APIs that process tens of billions of events per day, to new buyer intent algorithms powered by LLMs, to a unified B2B identity graph. Depending on your strengths and interests, you’ll be matched to the initiatives where you can have the greatest impact.\n This is a high-growth, high-ownership environment operating at the edge of what’s possible in modern software engineering, data infrastructure, and applied AI.\n What You’ll Do\n \n Design and build distributed systems that process, enrich, and respond to billions of behavioral events per day in real time\n Develop high-performance APIs and services that support advertising, identity, and intent features across the Marketing Platform\n Leverage machine learning and large language models (LLMs) to analyze behavioral data, classify content, extract signals, and enable intelligent decision-making\n Build intelligent agents using frameworks like LangGraph or MCP to reason over data and power user-facing insights\n Design and operate data pipelines using tools like Kafka, Kinesis, and ClickHouse to support both streaming and batch workloads\n Drive quality, performance, scalability, and observability across all systems you own\n Collaborate cross-functionally with product managers, data scientists, and engineers to deliver customer-facing features and internal tooling\n Contribute to technical leadership and mentorship of teammates\n \n What We’re Looking For\n \n 8+ years of backend, data, or infrastructure engineering experience, or equivalent impact and leadership. \n Strong experience in at least one of the following:\n \n Distributed systems engineering (e.g., building low latency high and throughput APIs, scalable microservices, event processing pipelines)\n Big data infrastructure (e.g., streaming, warehousing, low-latency storage at scale)\n Applied AI/ML , including use of LLMs for extraction, classification, or reasoning tasks \n \n Proficiency in one or more core languages: Java, Go, Python \n Solid grasp of SQL and large-scale data modeling\n Familiarity with databases and tools such as: ClickHouse, DynamoDB, Bigtable, Memcached, Kafka, Kinesis, Firehose, Airflow, Snowflake \n \n AI-Native Development Mindset\n \n Comfortable using LLMs as part of your development workflow—whether via tools like Copilot, Cursor, ChatGPT, Claude, or others—to boost productivity, explore architecture ideas, and rapidly prototype. \n Skilled at designing and implementing LLM-powered systems such as RAG pipelines, agent frameworks (e.g., LangGraph), or intelligent workflows that reason across large datasets in real time.\n \n Bonus Points\n \n Experience in ad tech, real-time bidding (RTB), or programmatic systems\n Background in identity resolution, attribution, or behavioral analytics at scale\n Contributions to open source in ML, infrastructure, or data tooling\n Strong product instincts and a passion for building tools that drive meaningful outcomes\n \n  \n #LI-SK1\n #LI-Remote\n \n Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive.\n In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here .\n Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply.\n $163,800 — $257,400 USD \n About us:  \n ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.\n ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information.\n ZoomInfo may use a software","salary_min":163800,"salary_max":257400,"location":"Bethesda, MD","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["distributed-systems","data-pipeline","rag","llm","agents","code-generation","microservices"],"apply_url":"https://www.zoominfo.com/careers?gh_jid=8661955002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-24T15:33:05Z","expires_at":"2026-09-28T13:50:38.032713Z","created_at":"2026-08-25T18:33:34.926533Z","updated_at":"2026-08-29T13:50:38.204529Z","company_name":"ZoomInfo","company_slug":"zoominfo","company_logo_url":"https://www.google.com/s2/favicons?domain=zoominfo.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/0dad12d0-3282-4119-8593-12fef77bf79e"},{"id":"771673d3-394b-4031-aa34-bedc52141830","company_id":"a4de8095-cb98-4b8b-9bfc-c2d248f257ea","title":"Senior Staff Security Engineer, AI Security ","slug":"senior-staff-security-engineer-ai-security-8578e51d","description":"At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs.  \n If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. \n \n THE WORK: \n As a Senior Staff Security Engineer focused on AI Security, you will be Ripple's deepest technical expert at the intersection of artificial intelligence and security. This is a purpose-built, high-impact individual contributor role that spans two critical mandates: securing AI systems that Ripple builds and operates, and harnessing AI to make Ripple's security function faster, smarter, and more scalable.\n You will lead the technical strategy for AI security across the agentic SDLC, define and operationalize guardrails for LLM and agentic AI adoption, and build AI-powered security tooling in close partnership with the broader organization to embed AI security into how Ripple operates every day. You will also shape Ripple's external posture on AI security, contributing to industry standards, regulatory discussions, and Ripple's published security practices.\n WHAT YOU’LL DO: \n \n Drive the AI Security technical strategy and roadmap, defining how Ripple secures its AI systems, governs agentic workflows, and embeds security controls into the AI development lifecycle from day one.\n Design and implement security controls for LLM-integrated and agentic AI systems, including sandboxing, identity and permission scoping, runtime monitoring, and containment of autonomous agent actions that exceed authorized scope.\n Own AI security across the Controlled Agentic SDLC, establishing security guardrails, AI provenance standards, dual-review requirements, and audit trail controls for AI-assisted development across Ripple Engineering.\n Lead the security review and risk assessment of all AI integrations entering production, including LLM APIs, SaaS copilots, AI code editors, agentic workflows, third-party MCP servers, and vendor-embedded AI.\n Build and scale Ripple's Shadow AI detection capability, surfacing unsanctioned AI usage, driving adoption of the AI acceptable use policy, and ensuring all AI workflows operate within Ripple's auditable perimeter.\n Serve as Ripple's go-to technical resource on agentic AI risks, including MCP server security, tool poisoning, prompt injection at the orchestration layer, and excessive agency in multi-agent systems, translating emerging threats into concrete mitigations with Engineering and Product.\n Shape Ripple's external AI security posture, contributing to industry frameworks, engaging regulators, and publishing research that establishes Ripple as a credible voice in responsible AI security. \n \n \n WHAT YOU'LL BRING:  \n \n \n 10+ years of Security Engineering experience with demonstrated depth in at least two domains, such as Product Security, Cloud Security, or Security Operations, and meaningful hands-on exposure to AI or ML security in practice.\n Solid understanding of AI and LLM security concepts, including prompt injection, jailbreaks, data poisoning, model extraction, RAG manipulation, and agentic risks such as tool poisoning, excessive agency, and MCP server vulnerabilities.\n Experience securing agentic AI systems, including sandboxing, permission scoping, human-in-the-loop design, or runtime monitoring for autonomous workflows.\n Fluency with core Security Engineering domains including cloud security on AWS, GCP, or Azure, CI/CD pipeline security, container and Kubernetes security, IAM, and API security, with the ability to reason about how these apply in AI-specific contexts.\n Strong threat modeling instincts, whether using STRIDE, MITRE ATLAS, OWASP LLM Top 10, or your own approach, and comfort applying frameworks to architectures where the playbook remains in development.\n Experience in FinTech, crypto, or other highly regulated environments is a strong plus, ideally with exposure to frameworks like NYDFS, MAS, DORA, or SOC 2 as they relate to AI adoption.\n Proven ability to work across teams, influence technical direction without direct authority, and bring structure to problems that span Engineering, Product, and Security.\n A genuine builder's mentality. You are energized by problems without established playbooks, comfortable building in ambiguity, and motivated by raising the bar in an area that is still being defined.\n \n Other common names for this role: AI Security Architect, LLM Security Engineer, Agentic AI Security Lead \n For positions that will be based in NY, the annual salary range for this position is below. Actual salaries may vary based","salary_min":224000,"salary_max":300000,"location":"New York, NY","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["security","code-generation","healthcare","llm","agents","rag","payments"],"apply_url":"https://ripple.com/careers/all-jobs/job/7961914?gh_jid=7961914","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-21T16:13:14Z","expires_at":"2026-09-28T13:43:48.669443Z","created_at":"2026-08-25T18:30:56.928499Z","updated_at":"2026-08-29T13:43:48.830189Z","company_name":"Ripple","company_slug":"ripple","company_logo_url":"https://www.google.com/s2/favicons?domain=ripple.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/771673d3-394b-4031-aa34-bedc52141830"},{"id":"d29bfaad-c593-4c53-93b1-dff4b4c64a86","company_id":"adc4981a-d4ff-4939-952f-362f51e1291d","title":"Sr. Machine Learning Engineer","slug":"sr-machine-learning-engineer-3ba58cf5","description":"Our Mission: \n 6sense's mission is to multiply what matters: growth, retention, and efficiency.  We envision a future where companies, teams and people reach their full potential.\n Our People: \n People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Win as One Team, Stay Curious, Do The Right Thing, Own the Outcome, and Create Belonging.  Every 6sensor plays a part in defining the future of our industry-leading technology.  6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers.  We want 6sense to be the best chapter of your career. \n \n About 6sense\n 6sense is Intelligence for Agentic GTM. We turn every signal — yours and ours — into intelligence that every team, tool, and AI agent can act on and trust. Every day, the 6sense Signalverse™ captures one trillion signals to power AI that pinpoints who’s ready to buy, how to engage them, and when to act. 6sense was named a Leader in The Forrester Wave™: Revenue Marketing Platforms for B2B, Q1 2026.\n The Opportunity\n We’re hiring a Senior Machine Learning Engineer to join our AI team, reporting directly to the Head of AI.\n Signals tell you what happened. Our job is to explain why — and that is the problem you will work on. You will build the intelligence that turns a trillion daily signals into cited, explainable answers about why an account matters, why now, and who is deciding. Your models power products customers use every day, including RevvyAI, our conversational GTM intelligence product, and reach their stack through our APIs and MCP server.\n This is a build-and-ship role, not a research role. You will own problems end to end, work directly with Product and Go-to-Market, and see your work reach customers. You’ll join a team distributed across the US and India, at a company where AI is the product rather than a feature.\n What You’ll Do\n \n Own machine learning problems end to end — from data exploration and modeling through deployment, monitoring, and iteration in production.\n Build NLP, LLM, and agentic systems at enterprise scale, including retrieval-based architectures and multi-agent workflows.\n Develop ranking, recommendation, prediction, and optimization models that are explainable rather than black-box.\n Partner with Product and Go-to-Market to turn ambiguous business problems into shipped capabilities.\n Improve the performance, scalability, and reliability of production ML systems, and help shape AI platform architecture.\n Explain your work clearly to technical and non-technical audiences, and engage with customers when needed.\n Mentor engineers and raise the bar for engineering excellence.\n \n What We’re Looking For\n Required\n \n 8+ years of industry experience building and deploying machine learning systems in production, with clear end-to-end ownership.\n Strong foundation in machine learning and applied statistics, with hands-on depth in NLP, transformers, embeddings, and retrieval-based systems.\n Practical experience with modern GenAI tooling such as LangGraph, LangChain, or Amazon Bedrock.\n Strong Python skills and experience building distributed ML pipelines on cloud infrastructure (AWS, Databricks, or equivalent).\n Solid grasp of feature engineering, model evaluation, and MLOps practices.\n A product mindset — you want to build AI products customers use, and you measure yourself on customer impact.\n Excellent communication: you can explain complex technical work clearly, tell the story of what you’ve built and why, and hold your own with product and business partners.\n Comfort with ambiguity and the judgment to drive execution independently.\n \n Nice to Have\n \n Experience with RAG architectures, vector databases, and prompt engineering.\n Hands-on work with PyTorch or TensorFlow.\n Background in B2B SaaS, enterprise AI products, or forward-deployed engineering — especially where you worked directly with complex customer data and delivered quickly.\n \n  \n Base Salary Range: $200,349.50 - $260,912.60. The base salary range represents the anticipated low and high end of the base salary range for this position. Actual salaries may vary and may be above or below the range based on various factors, including but not limited to work location and experience. The base salary is one component of 6sense’s total compensation package for this position. Other compensation may include a bonus program or commission plan, and stock options if approved by 6sense’s board. In addition, 6sense provides a variety of benefits, including generous health insurance coverage, life, and disability insurance, a 401K employer matching program, paid holidays, self-care days, and paid time off (PTO). #Li-remote \n Notice of Collection and Use of Personal Information for California Residents: California Recruitment Privacy Notice and Policy \n Our Benefits:   \n Full-time employees can ta","salary_min":200349,"salary_max":260912,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["generative-ai","nlp","pytorch","fine-tuning","mlops","llm","rag","payments"],"apply_url":"https://boards.greenhouse.io/6sense/jobs/8064973?gh_jid=8064973","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-20T15:47:30Z","expires_at":"2026-09-28T13:41:51.854935Z","created_at":"2026-08-25T18:30:07.718512Z","updated_at":"2026-08-29T13:41:52.007245Z","company_name":"6sense","company_slug":"6sense","company_logo_url":"https://www.google.com/s2/favicons?domain=6sense.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/d29bfaad-c593-4c53-93b1-dff4b4c64a86"},{"id":"732ec9a9-5da7-4fe6-a751-627930b7388f","company_id":"74257563-5513-4a8d-a0f7-01f00c59aed6","title":"Staff Platform Manager, Conversational Products","slug":"staff-platform-manager-conversational-products-aa02eb7c","description":"Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. \n The Community You Will Join: \n Airbnb is a vision and mission driven company, and our Product Managers embody that mindset. Platform PMs imagine the ideal end state for our community first, work backwards from it, and deliver it in a scalable way. The AI Assistant team owns the agentic AI system that powers Airbnb's support experience for millions of guests and hosts. This is one of the highest-visibility applied-AI efforts at the company, and it sits at the intersection of large language models, platform thinking, and a genuinely two-sided marketplace.\n The Difference You Will Make:  \n You will own the platform that determines how our AI Assistant reasons, retrieves, and responds: the layer that interprets each request and routes it, the knowledge and capabilities the assistant draws on, the actions it can take to actually resolve an issue, and the evaluation systems that keep it safe and accurate at scale.\n You will own what a good outcome looks like for the user, and the criteria we measure it against, working through partners who own the underlying knowledge and the engineering implementation. This is a role where Product both directs technical work and does it themselves. You will diagnose architectural problems, author the artifacts that become production behavior, and help drive engineering and data science decisions alongside your key partners. \n Support is high-stakes: people reach out when something has gone wrong, often with another party involved. You will be responsible for making those moments accurate, safe, and genuinely helpful, increasing how often the assistant fully and correctly resolves a request on its own while expanding coverage across more problem types and user touch points.\n A Typical Day: \n \n Set the product direction for how the assistant reasons and responds, and paint a multi-quarter vision with the customer at the center;  align that vision with senior leaders and cross-functional partners.\n Work fluently with production data. Explore the data directly, use modern AI tools and coding agents to move fast, validate an analysis, and dig in yourself to tell when a result doesn't look right.\n Build new capabilities end to end, from spotting the need through the hands-on work that makes the behavior real and gets it calibrated with human input.\n Decide what a correct, complete resolution looks like for each kind of user problem, and get engineering, policy, and knowledge partners aligned around that definition.\n Define what success means in measurable terms: how often issues get fully resolved, how accurate and safe the answers are, and the bar that a change needs to clear in order to launch.\n Own launch readiness for major model and platform changes, balancing speed to learn against the safety and risk work that has to happen before anything scales.\n Diagnose why a complex AI system is failing, and judge where the fix actually belongs.\n Own the evaluation strategy: LLM-based evaluators (LLM-as-judge), offline and live-traffic evaluation, calibration and certification, and the tooling that lets non-engineers safely improve the assistant.\n Bring teams with different perspectives to a shared answer, set agreements with partners early, and push for a single source of truth across the product.\n Present to leadership regularly, leading with the decision, the tradeoffs, and the ask, and tailoring the narrative to what the audience cares about.\n \n Your Expertise:  \n \n 9+ years building technology products, with at least 5 in product management or a closely related technical role (engineering, data science, or applied research) from which you owned product direction.\n Direct experience shipping generative AI or ML products to production, ideally including retrieval-augmented generation, agentic or function-calling architectures, and evaluation systems.\n Hands-on technical depth. You read and debug prompts, understand ML and engineering constraints, and are comfortable personally authoring the artifacts that shape production behavior. \n Data fluency. You can work directly with production data, validate an analysis end to end, and know when a result looks wrong, whether or not you write the query by hand.\n Depth in LLM evaluation. You have designed, calibrated, or certified automated model-based evaluations, and can turn a vague quality signal into diagnostic, measurable components.\n A strong sense for great user experience, including how latency, tone, and trust shape an AI interaction.\n Comfort owning an ambiguous, cross-cutting mandate that spans several teams' focus areas, and the influence to drive alignment accordingly.\n A","salary_min":200000,"salary_max":240000,"location":"United States","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["llm","agents","rag","generative-ai","cloud"],"apply_url":"https://careers.airbnb.com/positions/8136554?gh_jid=8136554","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-19T21:50:25Z","expires_at":"2026-09-28T13:40:21.392704Z","created_at":"2026-08-25T18:29:15.572285Z","updated_at":"2026-08-29T13:40:21.543475Z","company_name":"Airbnb","company_slug":"airbnb","company_logo_url":"https://www.google.com/s2/favicons?domain=airbnb.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/732ec9a9-5da7-4fe6-a751-627930b7388f"},{"id":"1cad2fe0-dc9a-4db6-b598-e5cb2d7f66b1","company_id":"fb64b18b-041a-43de-886d-f506d1ab94a4","title":"Senior Staff Product Manager, Purple AI","slug":"senior-staff-product-manager-purple-ai-cfe5605e","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 We're looking for an AI-native product manager to join SentinelOne's Purple AI team and lead the vision and execution for next-generation agentic security features. Purple AI is how modern SOC teams detect earlier, respond faster, and stay ahead of attackers—and SentinelOne is embedding it platform-wide to automate security operations while keeping human analysts fully in control and accountable. You'll own the roadmap for new agentic capabilities and drive the evolution of our conversational experience, continually redefining what modern AI in cybersecurity looks like. This is a high-visibility, strategic role with direct exposure to executive leadership and close collaboration across engineering, sales, marketing, and pricing strategy.\n What Will You Do? \n \n Define and champion the strategy and vision for Purple AI—the industry's first GenAI security analyst—along with new AI features driving SentinelOne's next phase of growth\n Own the full product lifecycle, from ideation through launch and iteration, to deliver measurable customer and business impact\n Synthesize quantitative and qualitative inputs—product metrics, user research, and market analysis—to shape the roadmap and build customer-centric solutions\n Make robust decisions amid incomplete, conflicting, or ambiguous information, managing risk and rallying cross-functional teams around a shared path forward\n Refine online and offline evaluation metrics to track with customer-perceived quality and value, and drive our data-sourcing strategy to continuously improve model and pipeline performance\n Partner with marketing, sales, and documentation to craft a compelling product narrative that drives adoption of our AI products\n \n What Skills and Knowledge Will You Bring? \n \n 8+ years in enterprise product management; cybersecurity product experience preferred\n 5+ years building AI/ML products\n 3+ years launching 0-to-1 enterprise software products\n Bachelor's or advanced degree in computer science, data science, or related field (or equivalent experience)\n Strong technical grasp of AI/ML technologies, including generative and agentic AI, natural language processing (NLP), and retrieval-augmented generation (RAG)\n Exceptional skill navigating ambiguity, framing trade-offs, and making decisions that balance technical complexity, user experience, and business value\n Ownership mentality: proven accountability, persistence, and a results-driven mindset\n Clear, efficient, and persuasive communication—written and verbal—across audiences from engineers to executives\n Hands-on experience using AI tools to accelerate the full PM workflow, improving both the speed and quality of decision-making\n \n Note: This position requires up to 15% travel to customer and SentinelOne locations worldwide. \n Why SentinelOne?\n AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.\n We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:\n Equity \u0026 Rewards \n \n Restricted","salary_min":184000,"salary_max":253000,"location":"United States","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["nlp","generative-ai","rag","agents","security"],"apply_url":"https://www.sentinelone.com/jobs/?gh_jid=7857160003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-19T16:53:19Z","expires_at":"2026-09-28T13:50:55.321233Z","created_at":"2026-08-25T18:33:46.361062Z","updated_at":"2026-08-29T13:50:55.492766Z","company_name":"SentinelOne","company_slug":"sentinelone","company_logo_url":"https://www.google.com/s2/favicons?domain=sentinelone.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/1cad2fe0-dc9a-4db6-b598-e5cb2d7f66b1"},{"id":"14971b93-9f3d-4f44-9de2-f61ebb923405","company_id":"698abc6f-9497-4ea6-809f-f0f7c2788a46","title":"AI Software Engineer II","slug":"ai-software-engineer-ii-0f7aeec7","description":"At Relativity Space, we’re building rockets to serve today’s needs and tomorrow’s breakthroughs. Our Terran R vehicle will deliver customer payloads to orbit, meeting the growing demand for launch capacity. But that’s just the start. Achieving commercial success with Terran R will unlock new opportunities to advance science, exploration, and innovation, pioneering progress that reaches beyond the known. \n Joining Relativity means becoming part of something where autonomy, ownership, and impact exist at every level. Here, you're not just executing tasks; you're solving problems that haven’t been solved before, helping develop a rocket, a factory, and a business from the ground up. Whether you’re in propulsion, manufacturing, software, avionics, or a corporate function, you’ll collaborate across teams, shape decisions, and see your work come to life in record time. Relativity is a place where creativity and technical rigor go hand in hand, and your voice will help define the stories we’re writing together. Now is a unique moment in time where it’s early enough to leave your mark on the product, the process, and the culture, but far enough along that Terran R is tangible and picking up momentum. The most meaningful work of your career is waiting. Join us. \n \n \n About the Team:  \n The Terrestrial Software team is building the foundation for an automated rocket factory and integrated launch platform. Their mission is to automate and streamline workflows across the entire lifecycle of Terran R, from raw material intake to launch operations and eventually manufacturing on Mars. Today, that means partnering directly with teams across design, materials, manufacturing, and test and launch to design, implement, and deploy end-user enterprise-wide applications, industrial automation, data analytics infrastructure, and next-generation AI to solve real problems and accelerate progress. Long term, the team is laying the groundwork for a modular, scalable software platform that can power highly autonomous operations on Earth and beyond. This is a team for builders and thinkers who thrive on cross-functional impact and want to shape the digital backbone of our future in space. \n The AI, Data and Platform Engineering team leads Relativity's initiative to make AI a core part of how we design, build, and test rocket hardware. We build the applications, agents, data foundations, and platform that put AI in the hands of engineers and operators across the company. We are a small, high-ownership team that ships quickly, works directly with users, and treats reliability and evaluation as first-class parts of every AI product. \n About the Role: \n You will help build AI systems used by engineers and operators across the company, working across the full software development life cycle: concept, design, implementation, and ongoing iteration. Build AI-powered applications and agents on top of foundation models, and make them reliable in production. Follow agile development practices and ship quality software that is continuously integrated and deployed. Solve complex problems with simple solutions. Work directly with users and stakeholder teams to define requirements, implement solutions, and iterate. Technologies we use: Python, React, TypeScript, Go. Foundation models (Claude and others), agent and orchestration frameworks, retrieval and vector search, LLM evaluation tooling. Spark, Iceberg, DuckDB, Redshift, DBT, Postgres, Mongo. AWS, Kubernetes (cloud and on-prem), Terraform, Helm. \n About You: \n \n Bachelor's degree or higher in Computer Science or a related engineering field (Computer, Software, Electrical, Aerospace) \n 3 to 5 years of experience building, shipping, and iterating on applications and services \n Practical experience building AI features with large language models, such as agents, retrieval-augmented generation, tool use, or evaluation, and shipping them to real users \n Hands-on experience building with large language models, whether through coursework, projects, or self-directed work \n Experience designing in collaboration with non-software stakeholders \n Proficient in the languages and tools you love most, and willing to learn new ones \n \n Nice to haves but not required:  \n \n Experience designing and scaling AI or service architectures that support high-performance, user-facing applications \n Experience building evaluation and observability systems that keep AI reliable in production \n Background in data engineering, applied machine learning, or building and maintaining knowledge bases and ontologies \n Experience turning research into working prototypes and reading current AI literature to inform design choices \n Experience developing, debugging, and shipping software products on large code bases that span platforms and tools \n Exposure to manufacturing, hardware, robotics, or other physical-world domains \n \n \n \n At Relativity Space, we are committed to transparency and fairness in our com","salary_min":130000,"salary_max":196000,"location":"Long Beach, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["rag","agents","llm","fine-tuning","generative-ai","robotics"],"apply_url":"https://boards.greenhouse.io/relativity/jobs/8726264002?gh_jid=8726264002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-18T20:11:27Z","expires_at":"2026-09-28T13:50:30.86404Z","created_at":"2026-08-25T18:33:30.908692Z","updated_at":"2026-08-29T13:50:31.032786Z","company_name":"Relativity","company_slug":"relativity","company_logo_url":"https://www.google.com/s2/favicons?domain=relativity.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/14971b93-9f3d-4f44-9de2-f61ebb923405"},{"id":"99f484fd-dadd-45d1-80be-14a42f000517","company_id":"698abc6f-9497-4ea6-809f-f0f7c2788a46","title":"AI Software Engineer","slug":"ai-software-engineer-4fa7c87d","description":"At Relativity Space, we’re building rockets to serve today’s needs and tomorrow’s breakthroughs. Our Terran R vehicle will deliver customer payloads to orbit, meeting the growing demand for launch capacity. But that’s just the start. Achieving commercial success with Terran R will unlock new opportunities to advance science, exploration, and innovation, pioneering progress that reaches beyond the known. \n Joining Relativity means becoming part of something where autonomy, ownership, and impact exist at every level. Here, you're not just executing tasks; you're solving problems that haven’t been solved before, helping develop a rocket, a factory, and a business from the ground up. Whether you’re in propulsion, manufacturing, software, avionics, or a corporate function, you’ll collaborate across teams, shape decisions, and see your work come to life in record time. Relativity is a place where creativity and technical rigor go hand in hand, and your voice will help define the stories we’re writing together. Now is a unique moment in time where it’s early enough to leave your mark on the product, the process, and the culture, but far enough along that Terran R is tangible and picking up momentum. The most meaningful work of your career is waiting. Join us. \n About the Team:  \n The Terrestrial Software team is building the foundation for an automated rocket factory and integrated launch platform. Their mission is to automate and streamline workflows across the entire lifecycle of Terran R, from raw material intake to launch operations and eventually manufacturing on Mars. Today, that means partnering directly with teams across design, materials, manufacturing, and test and launch to design, implement, and deploy end-user enterprise-wide applications, industrial automation, data analytics infrastructure, and next-generation AI to solve real problems and accelerate progress. Long term, the team is laying the groundwork for a modular, scalable software platform that can power highly autonomous operations on Earth and beyond. This is a team for builders and thinkers who thrive on cross-functional impact and want to shape the digital backbone of our future in space. \n The AI, Data and Platform Engineering team leads Relativity's initiative to make AI a core part of how we design, build, and test rocket hardware. We build the applications, agents, data foundations, and platform that put AI in the hands of engineers and operators across the company. We are a small, high-ownership team that ships quickly, works directly with users, and treats reliability and evaluation as first-class parts of every AI product. \n About the Role: \n You will help build AI systems used by engineers and operators across the company, working across the full software development life cycle: concept, design, implementation, and ongoing iteration. Build AI-powered applications and agents on top of foundation models, and make them reliable in production. Follow agile development practices and ship quality software that is continuously integrated and deployed. Solve complex problems with simple solutions. Work directly with users and stakeholder teams to define requirements, implement solutions, and iterate. Technologies we use: Python, React, TypeScript, Go. Foundation models (Claude and others), agent and orchestration frameworks, retrieval and vector search, LLM evaluation tooling. Spark, Iceberg, DuckDB, Redshift, DBT, Postgres, Mongo. AWS, Kubernetes (cloud and on-prem), Terraform, Helm. \n About You: \n \n Bachelor's degree or higher in Computer Science or a related engineering field (Computer, Software, Electrical, Aerospace). \n Strong computer science foundations: data structures, algorithms, systems, and clean, testable code \n Hands-on experience building with large language models, whether through coursework, projects, or self-directed work \n Proficient in at least one language you love, and eager to learn new ones \n Curious, fast-learning, and motivated to work directly with engineers and operators on the factory floor \n \n Nice to haves but not required:  \n \n 1+ years of professional experience, including internships, research, or substantial personal and academic projects you have shipped \n Experience building agents, retrieval-augmented generation, or LLM evaluation pipelines \n Familiarity with data engineering tools and modern data stacks \n Exposure to manufacturing, hardware, robotics, or other physical-world domains \n Contributions to open-source projects or published research \n At Relativity Space, we are committed to transparency and fairness in our compensation practices. Actual compensation will be determined based on experience, qualifications, and other job-related factors. Compensation is only one part of our total rewards package. Relativity Space offers competitive salary and equity, a generous PTO and sick leave policy, parental leave, an annual learning and development stipend, and more! To see s","salary_min":115000,"salary_max":173000,"location":"Long Beach, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"junior","tags":["rag","generative-ai","robotics","llm","fine-tuning"],"apply_url":"https://boards.greenhouse.io/relativity/jobs/8726261002?gh_jid=8726261002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-18T19:29:08Z","expires_at":"2026-09-28T13:50:30.770148Z","created_at":"2026-08-25T18:33:30.904162Z","updated_at":"2026-08-29T13:50:30.936199Z","company_name":"Relativity","company_slug":"relativity","company_logo_url":"https://www.google.com/s2/favicons?domain=relativity.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/99f484fd-dadd-45d1-80be-14a42f000517"}],"page":1,"per_page":20,"total":396,"total_is_exact":true,"total_pages":20}