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Mid-level (5+ years) and Pune metro increase competition; niche Agentic AI skills lower applicant pool.
Highly specialized Agentic AI, vector DB and MLOps expertise limits cross-industry transferability.
Mandatory 5+ years and specialized Agentic AI, vector DB, MCP and MLOps skills enforce high shortlisting strictness.
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Design and develop Agentic AI knowledge bases and implement ingestion mechanisms using vector databases to support semantic search and RAG.
Apply prompt engineering and orchestrate multi-agent systems using MCP protocol to enhance AI agent performance.
Collaborate with teams to integrate ML Ops practices for continuous model improvement and align AI solutions with business outcomes.
5+ years overall experience in AI engineering or related roles.
Proven experience building knowledge bases for Agentic AI systems and expertise in Agentic AI frameworks.
Strong skills with vector databases (FAISS, Pinecone, Weaviate) and semantic search techniques.
Experience with prompt engineering (LangChain, Guidance), MCP protocol, ML Ops practices, and familiarity with Snowflake.
Experienced in scalable, real-world AI solution development with a focus on Agentic AI frameworks.
Comfortable working cross-functionally integrating ML Ops and AI capabilities to meet business needs.
Technically versatile with a strong foundation in Agentic AI principles, prompt engineering, and multi-agent orchestration.