Senior/Staff Software Engineer, Agent
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Key skills for this role
Key Skills for This Role
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Core Requirements
- - 7+ years of full-stack engineering experience shipping and owning production systems at scale, including 2+ years building LLM-powered agents in production โ not just prototypes or demos.
- - Deep, hands-on experience with agent architecture: tool use, context/memory management, multi-step planning, sub-agent orchestration, and long-running workflows.
- - Track record of designing evaluation frameworks and observability for agentic systems โ you know how to measure whether an agent is working and how to keep it from regressing.
- - Strong system design and data modeling skills โ comfortable reasoning about state, schemas, and APIs for real product use cases.
- - Experience authoring reusable Agent Skills, structured agent workflows, or equivalent abstractions that other engineers build on.
- - Demonstrated technical leadership โ you've set direction for a system or team, and people follow your architectural calls because they've been right before.
- - A strong AI-assisted coding practice โ 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.
- - High product sense โ you think about what makes an agent experience feel trustworthy and delightful, not just functional.
- - Strong communication skills โ you can explain agent behavior and technical trade-offs clearly to founders, designers, and non-technical teammates.
Nice to Have
- Practical experience building MCP servers and CLI tooling for agents.
- Experience with agent orchestration frameworks (Claude Agent SDK, LangGraph, or similar) and LLM evaluation / observability tooling.
- Hands-on experience with image / video generation models and creative asset pipelines.
- Experience with guardrails, safety, and cost controls for autonomous systems.
- Startup experience or ownership of a product surface from 0 to 1.
๐ฐ Compensation
- $500k+ total compensation including base salary, bonus, equity.
- Equity โ meaningful ownership in what you build.
- High autonomy, high growth environment.
๐ Work Setup
- Bay Area preferred (hybrid available).
- Visa sponsorship available.
๐ฏ What Success Looks Like in 3โ6 Months
- The agent harness has a clear, documented architecture that the team builds against โ and it's yours.
- A production agent workflow you designed is shipped and running for real users inside OpenArt's ecosystem.
- An eval and observability loop exists, and regressions get caught before users see them.
- Reliability, latency, or cost per successful run has measurably improved on a workflow that matters.
- You've formed a tight feedback loop with design, founders, and real users.
- You're setting the direction for agent engineering โ pushing ideas, not waiting for specs.
If you want to lead the architecture that turns frontier models into creative agents millions of people use โ and own it from day one โ we'd love to talk.
About OpenArt
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