AI Engineer + Data Scientist

Job Description

• Skill Set :

  AI / ML / DL

• Total Experience :

  4.00 to 7.00 Years

• No of Openings :

  1

• Job Post Date :

  07/09/2026

• Job Expiry Date :

  31/10/2026

• Domain :

  IT

• Location :

  BENGALURU [India]

• Job Reference No :

  4105914

Job Summary

• Build agentic applications using LangGraph, AutoGen, CrewAI, or Semantic Kernel.

• Design RAG pipelines ‿ chunking, hybrid search, re ranking, memory, and tool orchestration.

• Deploy and monitor AI workloads on Azure (AKS/ARO) with CI/CD and observability.

• Implement responsible AI guardrails ‿ prompt injection defense and content filtering.

• Define evaluation metrics for task success, hallucination, latency, and cost.

Must Have Skills

• 5+ years ML/AI engineering with production LLM/agentic delivery.

• Advanced Python and at least one agent framework (LangGraph, AutoGen, CrewAI, PydanticAI).

• Strong LLM and prompt engineering skills (GPT, Claude, LLaMA); hands on RAG workflows.

• Azure AI stack (Azure OpenAI, AI Search, AI Services) and Databricks ML (MLflow, Delta Lake).

• Vector databases (FAISS, Pinecone, Chroma) and embedding/retrieval design.

• Containerized deployment (Docker/Kubernetes, AKS/ARO) and REST APIs / WebSockets / event driven services.

• CI/CD and version control (Jenkins / GitHub Actions, Git) with SDLC and agile practices.

• Portfolio of 3+ production AI deployments with measurable business impact.

Nice to Have

• Model fine tuning (LoRA/PEFT), multi modal AI, and model evaluation frameworks.

• LLMOps / MLOps and model monitoring (drift, latency, cost, hallucination).

• Knowledge graphs (Neo4j); AWS Bedrock / GCP Vertex AI exposure.

• AI augmented dev tools (GitHub Copilot, Claude Code, Windsurf) for rapid prototyping.

• Enterprise AI security, compliance, and governance awareness.

• Manufacturing or supply chain domain experience.