ashby

Software Engineer, Agent

OpenArt

San Francisco, USA

Full-time

Entry · 2+ years experience

Hybrid

Discovered 6 days ago

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Core Requirements

- 2+ years of full-stack engineering experience shipping production software.
- Hands-on experience building LLM-powered agents or applications that have reached real users — not just prototypes or demos.
- Working familiarity with agent harness concepts: tool use, context/memory management, multi-step planning, or sub-agent orchestration.
- Solid data modeling and schema design skills for real product use cases.
- A strong AI-assisted coding practice — you use tools like Claude Code, Codex, or Cursor as a core part of how you build, and have real opinions about what makes them work well.
- Product sense — you think about what makes an agent experience feel trustworthy and delightful, not just functional.
- Clear communication — you can explain agent behavior and technical trade-offs to teammates who aren't engineers.

Nice to Have

- Experience authoring reusable Agent Skills or structured agent workflows.

- Practical experience building MCP servers or CLI tooling for agents.

- Exposure to agent orchestration frameworks (Claude Agent SDK, LangGraph, or similar) or LLM evaluation / observability tooling.

- Hands-on experience with image / video generation models.

- Startup experience, or having built something 0 to 1 (side projects count).

💰 Compensation

- $300k+ total compensation including base salary, bonus, equity.

- Equity — meaningful ownership in what you build.

- High autonomy, high growth environment.

🌍 Work Setup

- Bay Area preferred (hybrid available).

- Visa sponsorship available.

🎯 What Success Looks Like in 3–6 Months

- You've shipped a production agent workflow inside OpenArt's ecosystem, and real users are running it.

- You've meaningfully improved a piece of the harness, a set of Agent Skills, or the eval loop — and can point to the metric that moved.

- You own at least one part of the agent stack end to end and are the go-to person for it.

- You've formed a tight feedback loop with design, founders, and real users.

- You're proposing improvements and catching problems early, not just executing on specs.

If you want to build the agents that turn frontier models into creative tools millions of people use — and grow fast while doing it — we'd love to talk.