About the role
You build AI-powered APIs and wire LLMs into MeJuvante's own products. As AI code-gen automates routine Python work, this role moves up the stack — from CRUD APIs to AI-integration architecture and model-to-product engineering.
Key responsibilities
- Build and own AI-powered APIs (FastAPI/Django) serving LLM-backed features to production
- Integrate LLMs: RAG pipelines, embeddings, vector databases (pgvector, Pinecone, Weaviate)
- Design prompt orchestration and agentic flows (LangGraph, CrewAI)
- Own the data layer: schema design, query optimisation, vector + relational storage
- Implement evaluation and monitoring: accuracy, latency, drift, hallucination checks
AI handles · You own
AI handles
Boilerplate · Unit-test scaffolds · Docs · Refactors
You own
Integration architecture · Correctness · Code review · Quality
Your profile
- Python (4+ years) with FastAPI and/or Django in production
- Hands-on LLM integration (OpenAI/Anthropic APIs, RAG, embeddings, vector stores)
- PostgreSQL/MySQL + vector DB; API design, async, performance
- MLOps basics; cloud (AWS/Azure), Docker, CI/CD; pytest discipline
Qualifications
- Degree in CS/engineering or equivalent practical experience
- 3+ years backend development