Experian is looking to build, integrate, and optimize LLM workflows using LangChain and manage complex infrastructure with AWS services like Lambda and ECS.
Requirements
- Proficiency in LLM and RAG Workflows: experience with LangChain and vector databases, applying RAG techniques for intelligent data retrieval and generation.
- Python Proficiency (>=3.11, <3.12): Advanced Python skills, including experience with asynchronous programming.
- Proficient in AWS environment
- Understanding of MCP Servers
Responsibilities
- RAG Workflow Development: Design and deploy LLM-driven RAG workflows using LangChain and vector databases to provide high-accuracy data retrieval and enhanced content generation.
- Vector Database Management: Integrate and manage vector databases like Qdrant for optimized, high-speed vector searches and data retrieval.
- Cloud Computing: Use AWS services, including Lambda and ECS, to build serverless architectures and scalable containerized applications.
- API & Backend Development: Build APIs with FastAPI and Uvicorn to support low-latency interactions and handle high traffic volumes.
- Monitoring & Observability: Implement observability best practices using Datadog, ddtrace, and logging tools to maintain performance and troubleshoot complex workflows.
Other
- You will report to a Staff Software Engineer
- work remote in the United States or hybrid based on proximity to an Experian office.
