What You’ll Do

Build scalable backend services using Python + FastAPI
Write async, high-performance code (Async/Await)
Design and optimize PostgreSQL & MongoDB for large textual data
Implement PL/pgSQL stored procedures
Build clean, performant UIs using React + TypeScript
Own features end-to-end: design → build → deploy
Ship GenAI-powered features using Studio APIs

Must-Have Skills

Python, FastAPI, Async/Await
PostgreSQL (query optimization, stored procedures)
MongoDB (schema design, performance)
TypeScript, React, Redux Toolkit, Tailwind
GenAI Studio APIs: Knowledge Bases, Agents, Tool Calls
Hands-on with raw LLM APIs (e.g., Claude)

Preferred

Docker, AWS (S3, EC2, ECS, ECR, Load Balancers)
VPCs, subnets, public vs private networking
AI chat/assistant use cases, RAG, embeddings, pgvector

What We Look For

Strong problem-solving and system thinking
End-to-end ownership mindset
Comfortable in fast-moving environments
Curious, hands-on, and experimental with AI