Large Language Model Architect

Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data. Must have skills : Large Language Models (LLMs), Generative AI, Virtual Agents Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education

Summary: Pod 2 — Agent Runtime Reports to: Senior LLM Systems Engineer (Pod 2 Tech Lead) Experience 6–10 years Location Bangalore / US (flexible) Note Explore Internal

Roles & Responsibilities: The Evaluation Engineer owns the platform's quality gate — the pre-deployment evaluation harness that every agent must pass before it reaches production, and the regression suite that catches regressions in platform behavior.

• Design and build the pre-deployment evaluation harness — test suite, scoring framework, and pass/fail criteria
• Define evaluation dimensions for agent quality: task completion accuracy, context retrieval relevance, guardrail compliance, tool call correctness
• Build and maintain the platform regression suite
• Partner with the Senior LLM Systems Engineer on valid agent invocation criteria
• Establish the evaluation data strategy
• Build tooling that makes evaluation results interpretable to domain teams

Professional & Technical Skills: Has built evaluation frameworks or test infrastructure for ML or LLM systems in production has strong software engineering fundamentals understands LLM behavior well enough to design meaningful evaluation criteria.

15 years full time education

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