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.
Bengaluru
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