4 - 9 years

19 - 30 Lacs

Posted:1 day ago| Platform: Naukri logo

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Hybrid

Job Type

Full Time

Job Description

Required Skills & Experience:

  • Experience: 4+ years in AI/ML development, focusing on agentic or autonomous systems.
  • Programming: Strong expertise in Python and AI/ML libraries (PyTorch, TensorFlow, Hugging Face).
  • Deep knowledge of LLM ecosystems (e.g., Azure OpenAI/OpenAI, Anthropic, Google, Meta): prompting, function calling, MCP (Model Context Protocol), Agent-to-Agent (A2A), token/cost management.
  • Expertise in RAG and Memory systems: vector DBs (FAISS, Pinecone, Milvus, pgvector/Postgres, Elastic/OpenSearch), embedding strategies, and rerankers.
  • Understanding of LLMOps and eval tooling: LangSmith, TruLens, Ragas, DeepEval, W&B, MLflow; prompt caching/compression; distillation.
  • Agentic Frameworks: Hands-on experience with AI agent orchestration tools and multi-agent coordination - LangGraph, AutoGen, Sematic Kernel, CrewAI (or similar) and tool integrations.

Hands-on with coding agents & IDEs: GitHub Copilot, Cursor, Claude Code etc. and IDE integrations (VS Code/IntelliJ/JetBrains); expert in vibe coding workflows.

  • Cloud Platforms: Familiarity with AWS, Azure, or GCP for AI deployment.
  • Soft Skills: Strong problem-solving, communication, and ability to translate technical concepts for business teams

Education & Certifications

  • Bachelors/Master’s in Computer Science, Software Engineering, Data/AI, or related field (or equivalent experience).
  • Preferred: ML/AI certifications (Azure/AWS/GCP)

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