Principal AI/ML Engineer Lead

India - Bangalorehybridprincipal

Posted 2w ago · via Workday

About this role

Description WHAT YOU’LL DO LLM Engineering Standards Across Agent Pods Define and own LLM engineering standards across all Agent Stream pods — agent framework conventions, prompt lifecycle standards, eval harness design patterns, guardrail implementation, and confidence threshold calibration methodology that all Senior AI/ML Engineers follow. Own the Langfuse observability framework at platform level — instrumentation standards, trace validation patterns, eval pipeline design, prompt regression testing, and model version regression detection. Pod-level Langfuse usage is consistent because this role defines how it is done.…

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What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: python, fastapi, postgresql, azure, kubernetes…

2

Level fit

This role is principal-level. We check your trajectory against it.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is based in India - Bangalore. We weight your proximity and willingness to relocate.

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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythonfastapipostgresqlazurekubernetesdockerlangchainopenaiteams

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