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Rounds/Videoclaw/Harness Engineer·#58564
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AI·Seed·San Francisco, California

Harness Engineer

at Videoclaw — AI
Location
San Francisco, California
Salary
$200,000 - $300,000
Type
Full-Time
TL;DR
  • Founding eng, harness engineering the 100% must
  • T-shaped generalist
  • What you've built >> pedigree
  • Creative side a bonus
About Videoclaw
Humeo.com is a SF-based applied lab for AI and creativity. Its first product brings the vibe-coding experience to video, and the launch video on X (@videoclaw) pulled 1.7M views. The product is a Mac app that bundles thousands of AI models, web search for content, motion graphics, and video editing into your Claude / ChatGPT, using your own GPU to keep it private, cheaper and smarter. The vision: "Video is the world's most widely understood language, but few people can speak it." The founding team has built and sold two cash exits in consumer and media, plus a $500k ARR AI solo build. Existing backers include marquee names, disclosed to the hire only at the very end.
Seed • 1 – 10
Stage & size
AI
Industry
2026
Founded
About This Role

The Founding Engineer owns and builds the core product while Joseph pushes the leading/experimental edge. The two are a redundancy pair who cover for each other. The absolute must is harness engineering, not a traditional software-dev one. The mental shift Joseph wants: a normal engineer sees a bug and goes fixes it; this person designs a system that improves itself. For example, every user feedback click logs a screenshot + full error context, and a standing agent takes the nightly error logs, fixes things itself, and reports back what it improved for review. They must be deeply plugged into the frontier of models (niche/Hugging-Face models good at X or Y) and know how to integrate them so it feels seamless to the user, and eventually liaise closely with the ML hire to train small on-device models for parts of the creative pipeline (e.g., a brief-taking agent, a QA agent).

Profile shape: a T-shaped, well-rounded generalist (solid front and back end, not hyper-specialized) whose deep spike is harness engineering. The next six months are about four levers on the core product: bring down the time a video takes, increase the dopamine/magic, bring down cost per video, and build the self-improving/recursive harness for stability. What matters most to Joseph: what the candidate has built. Someone who's "gone through the fire" of something similar (core engineer on a comparable product, core contributor to a relevant open-source project).

What You'll Own

  • The core product end to end, paired with Joseph (redundancy: cover for each other)
  • Harness engineering: designing self-improving systems (nightly error-log-driven agent that fixes and reports back), not just fixing bugs
  • Integrating frontier/niche models (Hugging-Face, model-per-task) so the pipeline feels seamless and fast
  • The four six-month levers: cut time-to-video, raise dopamine/magic, cut cost per video, build recursive stability
  • Liaising with the ML hire to train small on-device models (brief-taking agent, QA agent, etc.)

Requirements

  • Harness engineering: a 100% must (the deep spike; the whole role hinges on it)
  • T-shaped, well-rounded generalist: solid across back end and front end, not hyper-specialized
  • Deeply plugged into the frontier: niche/open-source models, model integration, agentic pipelines
  • A "brainiac" IC who holds the system in their head, not a tech-lead/manager profile
  • Has built something similar and "gone through the fire" of it (core engineer / core OSS contributor on a comparable product); company/school irrelevant

Execution and Ownership

  • Thinks in self-improving systems, not one-off fixes
  • High agency, intense, all-in; interested in the video/creation problem (intrinsic motivation is screened for)
  • Low ego ("non-positional": builds shared understanding, doesn't defend turf)
  • New-school engineer

BACKGROUND

  • Slope/craft over seniority;
  • Newer-school audience welcomed; what they've built >> pedigree
  • Renaissance/creative differentiator (nice-to-have, not required): also expresses a creative side (plays an instrument, makes content, real artistic intuition). A strong tiebreaker among equals, but they have enough creatives; competence first

Who Will Thrive Here

  • A harness-engineering specialist who designs self-improving systems and lives at the model frontier
  • A T-shaped generalist IC who holds the whole core product in their head, not a manager
  • Someone who's built something similar and went through the fire of it
  • All-in, intense, low-ego, in a concentrated-intent life phase; weekends-on
  • Bonus: a creative (music, content) who intuits the art side as well as the engineering
Job Details
Experience
3-8 Years
Salary
$200,000 - $300,000
Equity
0.1% - 0.7%
Visa Sponsorship
Yes
Employment Type
Full-Time
Work Arrangement
In office
Work Intensity
9-9-6
Benefits & Perks
Amps Up On Free
Green Flags
Core engineer / core OSS contributor on a comparable AI-video or creative-tooling product
Solo-built a real AI product (RAG/agentic, like the DocuAsk archetype)
Demonstrated self-improving/agentic-harness systems
Red Flags
No real harness-engineering depth (auto-fail)
Old-school/hyper-scaled eng-leader profile; wants to manage, not build
Hyper-specialized in one narrow area; big front/back gaps

Candidate scorecard

· 6 criteria
Real harness-engineering depth (the 100% must)
T-shaped generalist — solid back + front end, not hyper-specialized
Plugged into the model frontier; integrates niche/OSS models seamlessly
Rounds · Confidential to recruiting partners · Last refreshed Oct 9, 2026