Artificial Intelligence Developer and Architect
2 days ago
We're on a mission to bridge the opportunity gap for underprivileged students through mentorship, guidance, and inspiration. Behind every student is a story—and we want the world to see it.
What You'll Build- Developer tools using LangChain, FastAPI, and Vector DBs (Pinecone etc)
- Retrieval-Augmented Generation pipelines with embeddings, chunking, and similarity search
- Smart workflows with persistent memory (Redis, in-memory caching, or custom layers)
- Modular APIs that are async, fast, and production-ready
- End-to-end features — from prompt engineering to deploying in Docker/CI/CD pipelines
- Strong Python skills, with hands-on FastAPI experience (async endpoints, dependency injection, modular project structure)
- Knowledge of LangChain, LLMs, and Vector DBs (Pinecone, Chroma, Weaviate, or FAISS)
- Comfort with stateful/memory systems (Redis, Postgres JSONB, or custom context persistence)
- Familiarity with Docker and Git-based CI/CD workflows
- Understanding of Postgres schema design and migrations
Frontend experience with React + Tailwind (or the ability to fake it fast)
Why It's Worth It- Ship fast with ownership — zero red tape, you'll push code that matters
- Build tools your team actually uses daily (internal dev-first AI stack)
- Work with people who care equally about great UX and great system design
- Learn production-grade AI engineering, not just toy projects
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