AI Agent Engineer - Open-Source Cookbook
Listing checked September 30, 2026 · pay as published by Terac
Overview
Terac recruits AI engineers to shape a public, open-source GitHub cookbook from scratch. The repository will show working examples of AI agents that recruit, interview, and manage human workers. Your expertise will guide developers who build pipelines for data annotation, QA testing, and task review. The process starts with a short remote video call about your background and agent work.
What You'll Do6
- 1Book and join a remote video intro call with Terac's team.
- 2Walk the team through your technical background and the AI agent systems you have built.
- 3Describe workflows you have created with AI agents.
- 4Share ideas for open-source examples that could live in the agent cookbook.
- 5Explore ways your working examples might fit the repository during the call.
- 6Review the follow-up proposal that outlines possible collaboration paths.
Requirements5
- 1Work as an active software engineer, AI developer, or technical founder.
- 2Show hands-on experience building tools or workflows with AI agents.
- 3Discuss technical architecture on a video call with comfort and clarity.
- 4Bring interest in open-source contributions and collaborative repositories.
- 5Demonstrate work with agentic workflows, API integrations, or human-in-the-loop systems.
Who Should Apply
An active software engineer, AI developer, or technical founder with hands-on agent work fits this best. You should have built tools or workflows using AI agents, and you need comfort with a live technical conversation about architecture. Open-source contributors and people who have designed agentic workflows, integrated APIs, or managed human-in-the-loop systems will stand out. The role suits candidates who can propose concrete cookbook examples rather than abstract research alone. Candidates often lose fit when they show no working agent projects, cannot explain their architecture on a video call, or show no interest in open-source collaboration.
Salary Insight
Terac does not list compensation for this posting. No rate appears in the listing, so the intro call and follow-up proposal are the places where Terac shares pay details.
Location
Compensation
Undisclosed by Terac
Required Skills
Application Tip
On the intro call, bring one concrete AI agent project. Name the APIs or agent framework you used, and describe the human-in-the-loop step, such as data annotation or QA review. That gives Terac proof you can contribute a working cookbook example.
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Application & verification flow
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Your resume is scanned against this role’s requirements to check qualification fit.
2Screened before the employer sees it
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3Outcome by email
We notify you at the address on your resume once the screening is reviewed.
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