Lead Agentic AI Engineer for LLM & GraphRAG Systems

Lynx Analytics; Philadelphia, San Francisco, New York (Philadelphia County, CA, NY); On-site; USD 150,000 - 190,000; Full time

Job summary

Lynx Analytics in the United States is seeking a senior software/ML engineer to lead the architecture and delivery of end-to-end agentic AI systems. You will own the context layer, memory architectures, and integration with GraphRAG and vector stores, while guiding standards for reuse and observability in production.

Collaborate with global engineers and data scientists, translate client requirements, and ensure scalable, high-quality solutions across diverse industries.

Qualifications

• 5–8 years of software or ML engineering experience, with 2–3 years building LLM-based or agentic AI systems in production.

Responsibilities

• 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 memory architectures and integrate GraphRAG and knowledge graph retrieval into agentic pipelines.

Skills

Python

LLM-based systems

Agentic AI

GraphRAG

LangChain

LlamaIndex

CI/CD

Docker/Kubernetes

Client-facing communication

Tools

LangChain

LlamaIndex

AutoGen

CrewAI

OpenAI API

Anthropic API

Neo4j

Microsoft GraphRAG

Pinecone

Weaviate

Qdrant

Docker

Kubernetes

Job description

Lynx Analytics in the United States is seeking a senior software/ML engineer to lead the architecture and delivery of end-to-end agentic AI systems. You will own the context layer, memory architectures, and integration with GraphRAG and vector stores, while guiding standards for reuse and observability in production.

Collaborate with global engineers and data scientists, translate client requirements, and ensure scalable, high-quality solutions across diverse industries.