AI Data Engineer
Summary
Build and deploy AI/ML pipelines using LLMs, RAG, and vector databases with Python, LangChain, and FastAPI on GCP.
Qualifications
- 2–5 years in AI/ML engineering
- Strong Python + hands‑on LLM experience (OpenAI, Gemini, Hugging Face, LLaMA)
- GenAI stack: LangChain, LangGraph, LlamaIndex
- RAG + vector databases + FastAPI
- Cloud: GCP preferred (Azure/AWS also welcome)
Bonus points for:
- Healthcare/Life Sciences domain experience
- Agentic AI, MLOps, fine‑tuning (LoRA/QLoRA)
- Operations workflow automation exposure