The job in short
Applied AI engineering.
LLMFine-tuningCompliance
Details
- Found
- 9 d ago · posted 2026-06-19
- Location as listed
- San Francisco, California
- Role
- Machine Learning / AI Engineer
- Source
- The company’s own careers site
Full description
Job Title: Applied AI Engineer
Job ID: 88664
Location: San Francisco, CA
What you will be doing:
Build autonomous agent systems
•
Architect agents that read enterprise documentation, plan implementations, call APIs, and promote tested changes.
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Design hierarchical planners and multi-agent coordination with shared scratchpads and guardrails.
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Operationalize LLM + RL research into production systems that deliver measurable impact.
Engineer learning & reliability:
•
Design RL / preference optimization loops that optimize business outcomes, not token loss.
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Build evaluation suites simulating real customer change requests, compliance checks, and regression risks.
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Implement sandboxing, deterministic replays, and rollback strategies for safety and auditability.
Bridge research and production:
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Create data pipelines, synthetic task generation, and reward modeling for agent fine-tuning.
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Integrate structured decoding, retrieval, and tool use orchestration into a cohesive reasoning stack.
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Collaborate with customers to turn messy tickets into automated, validated, documented changes.
Shape technical culture
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Define standards for agent evaluation, experiment hygiene, dataset versioning, and reproducibility.
•
Lead design reviews, share failures openly, and help build the foundation for autonomous enterprise AI.
Salary/Rate Range: $180,000.00 – $215,000.00
Thank you for your interest in this opportunity. If you are selected to move forward in the process, we will contact you directly. If you do not hear from us, we encourage you to continue visiting our website for other roles that may be a good fit.
For more information about TEEMA and to consider other career opportunities, please visit our website at www.teemagroup.com
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