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Mid-level (3–6 yrs) ML role in Bengaluru with specialized LLM skills leads to moderate candidate competition.
Specialized Agentic AI, LLM, vector DB and multi-agent expertise limits easy cross-industry transferability.
Explicit 3–6 years plus mandatory LLM frameworks, vector DBs, cloud and MLOps skills makes filters strict.
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Design, develop, and deploy autonomous Agentic AI solutions using LLMs and multi-agent frameworks integrating with enterprise cloud and APIs.
Build AI-driven applications focused on task planning, workflow orchestration, and Retrieval-Augmented Generation (RAG) architectures with vector databases.
Optimize and monitor AI agents for performance, scalability, operational costs, and governance policies in collaboration with cross-functional teams.
3 to 6 years of software development experience, with at least 2 years in AI/ML or Generative AI.
Proficiency in Python and hands-on experience with commercial and open-source LLMs.
Experience with Agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or LlamaIndex.
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field.
Experienced in building and managing AI agents with multi-agent architectures and RAG using vector stores like Pinecone, FAISS, or similar.
Familiar with cloud platforms (Azure, AWS, GCP), containerization, microservices, and MLOps practices, enabling scalable AI deployments.
Capable of integrating AI solutions with enterprise-grade APIs, ensuring workflow automation, agent lifecycle management, and adherence to Responsible AI practices.