LLM Integration / LangChain Engineer

About the role

We are seeking an experienced LLM Integration / LangChain Engineer to design, develop, and implement the orchestration layers connecting our enterprise data assets with cutting-edge generative AI models. The ideal candidate will build production-grade Retrieval-Augmented Generation (RAG) pipelines, program multi-agent reasoning loops using LangChain, LangGraph, or LlamaIndex , and establish secure system middleware to safely deploy AI capabilities at scale.

What you'll do

• Design and construct advanced LLM applications and orchestrations using specialized frameworks like LangChain , LangGraph , LlamaIndex , or AutoGen
• Build production-grade Retrieval-Augmented Generation (RAG) architectures , configuring dynamic context chunking, document parsing, semantic metadata tagging
• Develop complex multi-agent reasoning chains and workflows , implementing custom tool calling structures, memory caching architectures, and guardrail validations
• Expose and consume programmatic endpoints , constructing high-throughput API integrations connecting foundational LLMs (e.g., OpenAI , Anthropic
• Apply rigorous AI evaluation and prompt tracking structures , utilizing observability platforms (e.g., LangSmith , Arize Phoenix ) to monitor token usage bounds

What you need

• LLMs
• Machine learning
• SQL
• Python
• AWS
• ETL

Good to have

• CI/CD
• Docker
• Kubernetes
• Prompt engineering
• GCP
• FastAPI