Principal AI/ML Engineer Lead
India - Bangalorehybridprincipal
Posted 3mo 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.…
What we'd score you on
reqspace match rubricFive 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.
Score yourself on this role.
Free · no card · written explanation included
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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