Senior Agentic AI and RAG Engineer with FastAPI
Opportunity Summary
You will work on building and maintaining production-ready AI applications, with a focus on agentic AI, retrieval augmented generation, and LLM powered workflows. The role includes implementing FastAPI REST services, designing prompt engineering workflows, and building tool calling agents with reasoning and memory style patterns. You will also integrate one or more LLM providers, implement RAG using embeddings and vector databases, and connect third party APIs and business tools. Deployments into production are required, typically using Docker and common engineering practices. You will improve AI reliability through evaluation, testing, and performance tuning.
Ideal Candidate
A senior AI engineer who has shipped LLM applications into production, understands agentic workflows, and can design maintainable FastAPI services. Strong at prompt and retrieval iteration driven by evaluation.
Project Insights
- Include evaluation methods like retrieval metrics and response quality tests
- Suggest strategies for latency and cost optimization across LLM calls
- Plan for fallback behaviors when tools or providers fail
How to Prepare
- Prepare links or descriptions of RAG and agent projects you built end to end
- List the vector databases and evaluation tools you used
- Confirm your availability and preferred collaboration cadence
Typical Challenges
- Improving agent reliability and handling tool and workflow failures
- Achieving high quality retrieval with correct chunking and evaluation
- Operationalizing deployments, monitoring, and iteration for LLM systems
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Project Details
Skills & Requirements
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