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Grey Chain - AI Lead Engineer

Reposted Yesterday
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In-Office
New Delhi, Delhi, IND
Senior level
In-Office
New Delhi, Delhi, IND
Senior level
Lead development of agentic workflows and LLM systems, build LLM evaluation/tracing and prompt operations pipelines, integrate MCP-based systems, deploy and scale enterprise-grade AI/ML solutions, and collaborate with product and engineering teams.
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About Grey chain (https://greychaindesign.com)

A Generative AI-as-a-service, Mobile & Digital Transformation firm helping organizations reimagine user experiences with Disruptive & Transformational thinking and partnership. Trusted by: UNICEF, BOSE, KFINTECH, WHO and many Fortune 500 Companies Home of over 110 Product Engineering nerds building the next generation of Digital Products. Primary Industries: Banking & Financial Services, Non-Profits, Retail & eCommerce, Consumer Goods and Consulting.

Location: New Delhi / Remote

We are seeking a Lead AI Engineer to spearhead the development of advanced agentic Workflows and large language model (LLM) systems. The ideal candidate should bring deep expertise in agent building, LLM evaluation/tracing, and prompt operations, combined with strong deployment experience at scale.

Key Responsibilities:

  • Design and build agentic workflows leveraging modern frameworks.
  • Develop robust LLM evaluation, tracing, and prompt ops pipelines.
  • Lead MCP (Model Context Protocol) based system integrations.
  • Deploy and scale AI/ML solutions with enterprise-grade reliability.
  • Collaborate with product and engineering teams to deliver high-impact solutions.


Required Skills & Experience:

  • Proficiency with LangChain, LlamaIndex, or similar agentic frameworks.
  • Hands-on experience with LLM evaluation platforms (e.g., Langsmith, Arize, DeepEval).
  • Strong background in prompt engineering and prompt operations.
  • Expertise in deploying and managing AI/ML models in production environments.
  • Solid programming skills in Python and relevant AI/ML libraries.
  • Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
  • Excellent problem-solving and communication skills.

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