Project Role Description : Assist in defining requirements, designing and building data center technology components and testing efforts.
Must have skills : Large Language Models (LLMs)
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 actively participating in the definition of requirements and contributing to the design and construction of data center technology components. The role includes collaborating with various teams to ensure the seamless integration and functionality of infrastructure elements. Additionally, the position requires involvement in testing activities to validate the performance and reliability of the technology components within the data center workplace. This role demands a proactive approach to problem-solving and continuous improvement to support the evolving needs of the infrastructure landscape.
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
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, Pro
📌 Infrastructure Engineer (Gurugram)
🏢 Accenture in India
📍 Gurugram
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