GenAI ML Tech Lead on AWS for LLM Systems

RemoteFull-time contractAdvanced
ML-Engineering-LeadershipGenAI-Tech-LeadAI-ML-ArchitectureLLM-EngineeringAWS-ML-LeadershipSenior

Opportunity Summary

This GenAI tech lead role oversees development and deployment of LLM-focused AI solutions on AWS. You will set technical direction and standards for ML projects, make architecture decisions, and review designs to ensure robust, scalable delivery. A major part of the role is mentoring a small engineering team through code reviews, technical problem-solving, and building competency through documentation and workshops. You will also contribute hands-on to critical components, including implementing proof of concepts for new approaches and tackling the most complex technical challenges.

Ideal Candidate

A hands-on ML and GenAI leader with deep experience designing LLM systems and deploying them on AWS. You can make sound architecture tradeoffs, mentor engineers effectively, and deliver critical components end to end.

Project Insights

  • Expect architecture and standards to be as important as model choices
  • Team scale is small, so code review rigor will be essential
  • POCs often need a clear path to production readiness

How to Prepare

  • Prepare one architecture case study for an LLM system on AWS
  • Outline your mentoring approach, including review and learning routines
  • Bring a short example plan for taking a GenAI POC to production

Typical Challenges

  • Designing reliable LLM workflows with production constraints
  • Managing technical debt while moving quickly on new POCs
  • Balancing mentorship with hands-on delivery for critical components

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Project Details

Project sizeLarge
ExperienceExpert
EngagementFull-time contract

Skills & Requirements

awsllmgenaiml architecturepythonteam mentorship
Response tip: Lead with architecture decisions, LLM deployment experience, and AWS scale examples.
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