Project Role : Infrastructure Engineer

Project Role Description : Assist in defining requirements, designing and building data center technology components and testing efforts.

Must have skills : Automation Architecture

Good to have skills : NA

Minimum 7.5 year(s) of experience is required

Educational Qualification : 15 years full time education

1. Summary: As an Infrastructure Engineer, a typical day involves supporting the definition of requirements and contributing to the design and construction of data center technology components. The role includes active participation in testing activities to ensure the reliability and performance of infrastructure solutions. This position requires close collaboration with various teams to align technology implementations with organizational goals, while continuously monitoring and improving data center operations to maintain optimal functionality and efficiency.
   
   2. Key Responsibilities:
2.    Design and build scalable agentic AI platforms supporting multi-step autonomous agents
   
3.   Architect and implement Model Context Protocol (MCP) servers and client ecosystems 
4.   Develop agent adaptors for multiple LLMs, tools, and AI frameworks
5.    Build Agent APIs (REST + gRPC) for lifecycle, streaming, and orchestration
6.    Implement multi-agent execution patterns like ReAct and Plan-and-Execute
7.    Enable memory, tool-calling, and context persistence for AI agents   
8.    Ensure security, observability, and reliability of agent workflows
9.    Collaborate with ML, product, and platform teams on agentic system evolution

Required Skills and Qualifications:
   5+ years of software engineering with 2+ years in AI/LLM systems
   Strong programming skills in Python and TypeScript / Node.js
   Hands-on experience building production LLM or agentic systems
   Solid understanding of LLM fundamentals (tokens, context, tools, prompts)
   Experience with API design (REST, gRPC, Protocol Buffers)
   Familiarity with agent frameworks (LangChain, LlamaIndex, AutoGen, etc.)
   Experience with distributed systems and cloud platforms
   Degree in Computer Science or equivalent practical experience

Must to have skills:
   Deep experience with agentic AI systems and autonomous workflows
   Strong knowledge of Model Context Protocol (MCP) or similar standards
   Expertise in LLM tool-calling, function execution, and orchestration
   Experience implementing multi-step reasoning agents
   Practical knowledge of vector databases and agent memory
   Ability to design guardrails, safety checks, and cost controls for AI agents
   Experience with real-time streaming and multi-turn agent interactions
   Proven ability to move AI research concepts into production platforms



Additional Information:

• The candidate should have minimum 7.5 years of experience in Automation Architecture.
  
• This position is based at our Gurugram office.
  
• A 15 years full time education is required.