Expert Python engineers who build LLM pipelines, AI APIs, RAG systems, and production-ready AI backends. Flexible monthly retainer or fixed-scope project — with full IP ownership and dedicated support.
Core competencies and specializations of this role on AI projects.
Design and build end-to-end LLM inference pipelines — from prompt construction to structured output parsing.
Build production-grade REST APIs with authentication, rate limiting, async processing, and OpenAPI docs.
Build robust data ingestion and transformation pipelines using pandas, Polars, SQLAlchemy, and custom parsers.
Implement retrieval-augmented generation pipelines connecting LLMs to vector databases and private data sources.
Write LLM evaluation suites, unit tests, and integration tests that validate AI system behaviour reliably.
Deploy AI systems on AWS, GCP, or Azure using Docker, cloud functions, and infrastructure-as-code.
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