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Protocol Intelligence
Data-driven signals on your job's competitivenessStrong employer brand and metro locations, but niche Agentic AI specialization reduces applicant density.
Specialized Agentic AI plus hybrid IaC/cloud focus limits cross-industry transferability of candidates.
Multiple mandatory technical skills (Agentic AI, LangChain, Python, RAG, LLMs) make screening highly selective.
Job Description
Structured overview of role & requirementsAbout This Role
Lead architecture design and development of Agentic AI capabilities for an Infrastructure as Code automation and hybrid cloud management platform.
Own technical design of AI agent orchestration workflows, retrieval solutions, prompt strategies, model integrations, and reusable AI platform services.
Collaborate with architects, project managers, product engineering, and customers to deliver secure, governed, observable, production-grade AI-assisted infrastructure solutions.
Minimum Requirements
Experience working hands-on with Agentic AI technologies including LangChain, LangGraph, CrewAI, MCP.
Proficient in Python development, prompt engineering, Retrieval-Augmented Generation (RAG), and large language models (LLMs).
Work Experience Required: Not explicitly mentioned in the JD.
Candidates must be available or located in one of the following locations: Bangalore (BLR), Pune (PUN), Hyderabad (HYD), or Bhubaneswar (BBSR).
Ideal Candidate Profile
Strong operational experience combining Agentic AI engineering with full-stack application development.
Experienced in delivering production-grade AI-assisted infrastructure automation in hybrid cloud environments.
Ability to serve as technical authority in Agentic AI within platform teams, translating complex AI concepts into reliable workflows and services.