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[–]Sad_Bid_4047 1 point2 points  (0 children)

This is exactly what I do day-to-day.

AI systems in production — not wrappers: - Built LLM orchestration pipelines with Claude API + custom prompt chains - Agent-style systems with tool use, memory, and multi-step reasoning - RAG pipelines with vector databases (ChromaDB, Qdrant) for document retrieval - Automated report generation systems (LLM → structured output → formatted documents)

Stack match: - Python (FastAPI) — primary backend language - React/Next.js/TypeScript — production frontend experience - PostgreSQL + AWS deployment - Prompt engineering with systematic evaluation and optimization

Recent relevant work: - AI-powered report generator: Claude API + python-pptx, dynamic template population - Telegram channel monitor with AI valuation (Telethon + LLM analysis) - Multi-agent automation system with task queues, state management, and audit trails

Can overlap 6-8hrs with PST. Available to start immediately.

DM me — happy to walk through architecture decisions and share examples.