AI/ML Engineer

Headline: AI/ML Engineer
Location: Remote, Bangalore & Hyderabad area - to reach a nearby office occasionally)
Joining: Immediate
About the engagement
You will be working as part of the Nestingale delivery team: : building and shipping applied-AI systems — LLM/RAG and GenAI features — into production. Hands-on engineering that takes models from prototype to reliable production service — not research, not advisory.
What you'll do
Build LLM/RAG and GenAI features end to end and ship them (APIs, pipelines, monitoring)
Work real data: ingestion, cleaning, embeddings, evaluation
Improve what's live — latency, cost, accuracy, reliability
Partner with product/eng to define and measure impact
Who you are
1–3 years hands-on in AI/ML (substantive internships count)
Real Python + a real ML framework (PyTorch / TensorFlow / scikit-learn) — not just calling APIs
Hands-on with LLMs / RAG (LangChain/LangGraph, vector DBs, retrieval/prompt or fine-tuning)
Think in data flows, latency, and evaluation; enjoy debugging why a model underperforms
Must have
Demonstrated production experience — you've shipped an AI/ML feature real users hit and can walk us through it in detail — with strong Python and hands-on LLM/RAG work.
Technical stack
Python, PyTorch / TensorFlow · LLMs / RAG (LangChain, LangGraph, vector DBs) · Docker, cloud (GCP/AWS), Git/CI-CD · nice to have: computer vision, Kubernetes / Vertex AI

Work arrangement
Yes