
AI Innovation Leader
13 hours ago
At our organization, we're building cutting-edge tools that drive social impact. Our mission is to bridge the opportunity gap for underprivileged students through mentorship, guidance, and inspiration. Every student has a unique story, and we want the world to see it.
What You'll Achieve- Create LLM-powered developer tools using LangChain, FastAPI, and Vector DBs (Pinecone etc)
- Develop Retrieval-Augmented Generation (RAG) pipelines with embeddings, chunking, and similarity search
- Design smart workflows with persistent memory (Redis, in-memory caching, or custom layers)
- Build modular APIs that are async, fast, and production-ready
- Deliver end-to-end features — from prompt engineering to deploying in Docker/CI/CD pipelines
- Strong Python skills, with hands-on experience with FastAPI (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
- Work independently with ownership — zero red tape, you'll push code that matters
- Build tools your team actually uses daily (internal dev-first AI stack)
- Collaborate with people who care equally about great UX and great system design
- Learn production-grade AI engineering, not just toy projects
- Ship fast with autonomy — no unnecessary hurdles, you'll push code that counts
- Contribute to tools your colleagues use every day (internal dev-first AI suite)
- Join a team where people value both excellent UX and exceptional system design
- Gain hands-on experience with real-world AI engineering, not just experiments
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