AI Engineer (US)
MiddleOn-site (San Francisco)Salary undisclosed
Required Skills
PythonReactKubernetesDockerCI/CDLLMsLangChain
Job 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.
You 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.
What This Involves:
- Lead the architecture and delivery of agentic AI systems end-to-end: agents, orchestration, tool use, and multi-step reasoning workflows.
- Own the context layer: design and implement memory architectures (episodic, semantic, working memory) and integrate GraphRAG and knowledge graph retrieval into agentic pipelines.
- Build robust RAG systems — including vector retrieval, graph traversal, and hybrid search — and ensure retrieval quality through evaluation frameworks.
- Translate client requirements into technical designs, presenting approaches and trade-offs to both technical and non-technical stakeholders.
- Define standards and reusable patterns for agentic AI d
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