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GenAI Engineer (Fully Remote, W2 only)

Dawar Consulting, Inc. United States

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Posted 30 Aug 2026
Last seen 30 Aug 2026
Location United States
Lifecycle mature
Grade F
This listing scored 36/100, which is an F. It lost the most ground on pay transparency. See the breakdown

-5 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.

Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →

This listing does not state a salary

$125k – $188k

That is the middle half of what comparable roles paid on this board over the last 90 days — 59 listings that did publish a figure, median $160k. It is not this employer's offer, and we have no idea what they pay. It is only what the rest of the market advertised.

What this role involves →

This is a remote position.

Our client, a world leader in biotechnology and life sciences, is looking for a “GenAI Engineer”. Location:South San Francisco, CA (Fully Remote) Job Duration:Long-Term Contract (Possibility Of Extension) Company Benefits:Medical, Paid Sick Leave, 401 (k)

Job Summary

Seeking aGenAI Engineerto build an enterprise GenAI application layer focused onorchestration, capability discovery, and reusable skills. The role will implement intent routing, agent chaining, tool/skill management, and structured response generation using existing agents and data services.

Required Skills & Qualifications
  • StrongPython or TypeScriptbackend engineering experience.
  • Production experience withagent orchestration, tool calling, workflow routing, and multi-agent chaining.
  • StrongAPI and schema designskills, including structured JSON input/output contracts.
  • Experience combininguser intent, conversation history, screen context, and filtersinto downstream agent requests.
  • Experience transforming agent results intonarratives, tables, charts, citations, and consistent response payloads.
  • Hands-on experience building and deploying GenAI services usingAWS, Amazon Bedrock, and AgentCore.
  • Ability to independently delivertested, production-ready codewith minimal guidance.

Preferred Skills
  • Capability registries, agent/tool catalogs, workflow skills, or discovery services.
  • MCPand API-first GenAI applications.
  • Analytics applications built on semantic-layer or data-query agents.

If interested, please share your updated resume at /.

Originally posted on Himalayas

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54/100 HR standards 73/100 Title ↔ description 95/100 Fit to the official role
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Where this listing came from

  1. 30 Aug 2026 Himalayas first sighting

Seen on 1 board over 0 days.