Job Description

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

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.

Key Responsibilities:

Design and build scalable agentic AI platforms supporting multi-step autonomous agents

Architect and implement Model Context Protocol (MCP) servers and client ecosystems

Develop agent adaptors for multiple LLMs, tools, and AI frameworks

Build Agent APIs (REST + gRPC) for lifecycle, streaming, and orchestration

Implement multi-agent execution patterns like ReAct and Plan-and-Execute

Enable memory, tool-calling, and context persistence for AI agents

Ensure security, observability, and reliability of agent workflows





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

Robust programming skills in Python and Type Script / 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 (Lang Chain, Llama Index, Auto Gen, 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.

📌 Infrastructure Engineer (Gurugram)
🏢 Accenture
📍 Gurugram