Job Description
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 youll do
- Build LLM/RAG and GenAI features end to end and ship them (APIs, pipelines, monitoring)
- Work real data: ingestion, cleaning, embeddings, evaluation
- Improve whats 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)
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- Think in data flows, latency, and evaluation; enjoy debugging why a model underperforms
Must have
Demonstrated production experience — youve 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
Skills
PythonAi/mlAi/ml EngineerMl EngineerAiMlLlmLlmsGenaiRagFine-tuningEmbeddingsLangchainLanggraphPytorchTensorflowScikit-learnComputer VisionVertex AiIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
Important dates & deadlines?
Application Deadline
31 Oct 26, 02:46 PM IST
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