AI Infra Engineer: Data Center & LLM Platforms

Accenture

Hinoba-an

On-site

PHP 2,628,000 - 4,600,000

Full time

14 days+

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Job summary

Accenture in Gurugram is seeking an Infrastructure Engineer to help define requirements and design data center components, with testing and collaboration across teams to ensure reliable infrastructures.

The role demands 5+ years in software engineering and deep experience with LLM/AI systems, building agentic capabilities, security, and production-grade reliability within complex environments.

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.

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.

Skills

Python
TypeScript / Node.js
LLM / AI systems
REST / gRPC
Protocol Buffers
LangChain / LlamaIndex
Distributed systems
Cloud platforms
Security / Observability
Agent frameworks
Memory / agent memory
Guardrails / cost controls

Education

15 years full time education

Tools

REST
gRPC
Protocol Buffers
LangChain
LlamaIndex
AutoGen

Job description

Accenture in Gurugram is seeking an Infrastructure Engineer to help define requirements and design data center components, with testing and collaboration across teams to ensure reliable infrastructures.

The role demands 5+ years in software engineering and deep experience with LLM/AI systems, building agentic capabilities, security, and production-grade reliability within complex environments.

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