JOB SUMMARY

We are looking for an AI Engineer to build, evaluate, and ship GenAI-powered
applications in production. You will turn foundation models into reliable,
observable features - building Python APIs, RAG pipelines, and agentic
workflows, proving quality with evals, and deploying with strong reliability and
cost discipline. You will work across development, experimentation, and
deployment alongside ML, product, and platform teams.

JOB REQUIREMENTS

Build / Experiment
Design Python APIs (FastAPI/Flask) and integrate LLMs, embeddings, RAG, and
agents (LangGraph, Google ADK, LangChain/LlamaIndex) into production.
Implement tool/function calling and MCP; apply prompt and context engineering.
Build data ingestion, preprocessing, and inference pipelines with explicit
observability.
Own the eval harness: write evals before shipping (RAGAS, DeepEval, or
LangSmith) covering faithfulness, retrieval quality, latency, and cost.
Run prompt/model A/B tests and tune retrieval (chunking, hybrid search,
re-ranking).
Explore light fine-tuning (LoRA/QLoRA) when it beats prompting or RAG.





Ship & Operate (Good to have)
Deploy on Docker/Kubernetes with CI/CD, versioning, and safe rollout.
Add logging, metrics, and tracing (Grafana, OpenTelemetry) and optimize latency,
throughput, and cost (caching, batching, streaming).
Write tests, review code, and support production incidents.

What We're Looking For (Required)
2-3 years of software development experience, including ML/AI engineering.
Strong Python and production API experience (FastAPI, Flask, or Django REST).
Hands-on GenAI app experience: LLM integration (OpenAI, Anthropic, Azure OpenAI,
Bedrock, or Vertex), RAG, and at least one agent framework with tool calling.
Prompt/context engineering and an evaluation mindset (RAGAS/DeepEval/LangSmith).
Experience with a vector database (pgvector, Pinecone, Weaviate, Qdrant, or
FAISS).
Awareness of guardrails, prompt-injection defense, PII handling, and responsible
AI.
Async programmin

📌 Software Engineer (Bengaluru)
🏢 NetApp
📍 Bengaluru