Senior AI Engineer, LLM & RAG Systems
Overview
You will own the design and deployment of AI-powered backend systems for a client in Woodland Hills, CA, operating at enterprise scale. You will build on a foundation of Python expertise, integrating LLMs, RAG architectures, and vector databases to deliver production-grade applications. You will collaborate with a small team of engineers and data scientists to solve complex problems. This contract role offers the chance to shape the AI infrastructure from the ground up, with direct impact on business outcomes.
What You'll Do6
- 1Design and deploy production-grade backend systems using Python and FastAPI within the first 90 days.
- 2Build applications that leverage LLMs through prompt engineering and orchestration techniques.
- 3Implement RAG architectures, integrating embeddings and vector databases like Pinecone for retrieval.
- 4Optimize system performance by profiling and tuning Python code and database queries.
- 5Collaborate with data scientists to refine models and improve retrieval accuracy.
- 6Debug and resolve issues in the AI pipeline, ensuring reliability and uptime.
Requirements5
- 15+ years building production-grade backend systems with Python.
- 2Hands-on experience developing applications using LLMs, including prompt engineering and orchestration.
- 3Proven experience with RAG architectures, embeddings, and vector databases.
- 4Strong knowledge of FastAPI or similar web frameworks.
- 5Ability to work independently in a contract role, with strong communication skills.
Salary Insight
$50 - $55k per year
Location
Required Skills
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