Build AI-powered Text-to-SQL systems using LLMs, PostgreSQL, and tools like LangChain, LlamaIndex, and pgVector.
Optimize SQL queries and implement semantic search using pgVector, FAISS, or Pinecone.
Fine-tune LLMs (OpenAI, Hugging Face, etc.) for accurate query generation based on database schema.
Develop APIs to connect AI-driven queries with front-end or BI tools (e.g., Power BI, Metabase).
Must have 1-2 years of experience in AI/NLP, Python (FastAPI), and vector search technologies.