{"schemaVersion":"jobsearcher.job.v1","id":"448882fbbc8345f978b95dbf","url":"https://jobsearcher.com/jobs/448882fbbc8345f978b95dbf","canonicalUrl":"https://jobsearcher.com/jobs/448882fbbc8345f978b95dbf","title":"AI Engineer (US)","description":"We are investing in agentic AI and need a Senior AI Engineer to lead the design and delivery of these systems. This is a foundational hire: you will own both the agent-facing workstreams — pipelines, orchestration, conversational interfaces — and the underlying context layer that makes them reliable, including memory management, knowledge graph integration, and retrieval infrastructure.\nYou will work closely with data engineers, project leads, and client stakeholders, and play a key role in shaping how Lynx builds and ships AI solutions at scale.\nWhat This Involves:\nLead the architecture and delivery of agentic AI systems end-to-end: agents, orchestration, tool use, and multi-step reasoning workflows.\nOwn the context layer: design and implement memory architectures (episodic, semantic, working memory) and integrate GraphRAG and knowledge graph retrieval into agentic pipelines.\nBuild robust RAG systems — including vector retrieval, graph traversal, and hybrid search — and ensure retrieval quality through evaluation frameworks.\nTranslate client requirements into technical designs, presenting approaches and trade-offs to both technical and non-technical stakeholders.\nDefine standards and reusable patterns for agentic AI development that other engineers at Lynx can build on.\nSet up observability, evaluation, and monitoring pipelines to ensure AI systems perform correctly in production.\nRequirements:\n5–8 years of software or ML engineering experience, with at least 2–3 years building LLM-based or agentic AI systems in production.\nDeep hands-on experience with agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, or similar) and LLM APIs (OpenAI, Anthropic, etc.).\nStrong understanding of agent design patterns: ReAct, planning loops, tool use, multi-agent coordination, and memory architectures.\nPractical experience with GraphRAG or knowledge graph-based retrieval (e.g., Neo4j, Microsoft GraphRAG) and vector databases (Pinecone, Weaviate, Qdrant, etc.).\nProficiency in Python and solid software engineering fundamentals: APIs, testing, CI/CD, containerisation (Docker/Kubernetes).\nExperience working in a consulting or client-facing environment — comfortable presenting technical approaches and adapting to ambiguous requirements.\nStrong written and verbal communication skills across distributed, cross-functional teams.\nKey Competencies:\nStakeholder Mentality: Treats the company's and client's goals as their own and is genuinely motivated by its success.\nOrganisational Excellence: Manages time and priorities effectively, ensuring tasks are completed accurately and on time even in a fast-paced environment.\nDiscretion & Integrity: Handles sensitive and confidential information with professionalism and sound judgement.\nProblem Solving: Approaches challenges proactively and with a solution-oriented mindset, taking initiative rather than waiting to be directed.\nCollaboration: A team player who builds strong working relationships and communicates effectively with colleagues across all levels.\nWhy You Will Love It Here:\nWork on real-world AI and advanced analytics solutions with measurable business impact.\nCollaborate with a global team of engineers and data scientists.\nExposure to diverse industries, modern cloud platforms, and cutting-edge AI technologies.\nA collaborative culture that values real outcomes.\nRapid learning opportunities and diverse challenges.\nFlat organisational hierarchy with high visibility and accessibility to our leaders.","company":"Lynx Analytics","rawCompany":"lynx analytics","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-03T23:33:08.797Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"17-2199.00","title":"Engineers, All Other","slug":"engineers-all-other"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI Engineer (US)","description":"We are investing in agentic AI and need a Senior AI Engineer to lead the design and delivery of these systems. This is a foundational hire: you will own both the agent-facing workstreams — pipelines, orchestration, conversational interfaces — and the underlying context layer that makes them reliable, including memory management, knowledge graph integration, and retrieval infrastructure.\nYou will work closely with data engineers, project leads, and client stakeholders, and play a key role in shaping how Lynx builds and ships AI solutions at scale.\nWhat This Involves:\nLead the architecture and delivery of agentic AI systems end-to-end: agents, orchestration, tool use, and multi-step reasoning workflows.\nOwn the context layer: design and implement memory architectures (episodic, semantic, working memory) and integrate GraphRAG and knowledge graph retrieval into agentic pipelines.\nBuild robust RAG systems — including vector retrieval, graph traversal, and hybrid search — and ensure retrieval quality through evaluation frameworks.\nTranslate client requirements into technical designs, presenting approaches and trade-offs to both technical and non-technical stakeholders.\nDefine standards and reusable patterns for agentic AI development that other engineers at Lynx can build on.\nSet up observability, evaluation, and monitoring pipelines to ensure AI systems perform correctly in production.\nRequirements:\n5–8 years of software or ML engineering experience, with at least 2–3 years building LLM-based or agentic AI systems in production.\nDeep hands-on experience with agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, or similar) and LLM APIs (OpenAI, Anthropic, etc.).\nStrong understanding of agent design patterns: ReAct, planning loops, tool use, multi-agent coordination, and memory architectures.\nPractical experience with GraphRAG or knowledge graph-based retrieval (e.g., Neo4j, Microsoft GraphRAG) and vector databases (Pinecone, Weaviate, Qdrant, etc.).\nProficiency in Python and solid software engineering fundamentals: APIs, testing, CI/CD, containerisation (Docker/Kubernetes).\nExperience working in a consulting or client-facing environment — comfortable presenting technical approaches and adapting to ambiguous requirements.\nStrong written and verbal communication skills across distributed, cross-functional teams.\nKey Competencies:\nStakeholder Mentality: Treats the company's and client's goals as their own and is genuinely motivated by its success.\nOrganisational Excellence: Manages time and priorities effectively, ensuring tasks are completed accurately and on time even in a fast-paced environment.\nDiscretion & Integrity: Handles sensitive and confidential information with professionalism and sound judgement.\nProblem Solving: Approaches challenges proactively and with a solution-oriented mindset, taking initiative rather than waiting to be directed.\nCollaboration: A team player who builds strong working relationships and communicates effectively with colleagues across all levels.\nWhy You Will Love It Here:\nWork on real-world AI and advanced analytics solutions with measurable business impact.\nCollaborate with a global team of engineers and data scientists.\nExposure to diverse industries, modern cloud platforms, and cutting-edge AI technologies.\nA collaborative culture that values real outcomes.\nRapid learning opportunities and diverse challenges.\nFlat organisational hierarchy with high visibility and accessibility to our leaders.","datePosted":"2026-08-03T23:33:08.797Z","dateModified":"2026-08-03T23:33:08.797Z","hiringOrganization":{"@type":"Organization","name":"Lynx Analytics","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"448882fbbc8345f978b95dbf"},"url":"https://jobsearcher.com/jobs/448882fbbc8345f978b95dbf"}}