Software Engineer, Agents
Sim - San Francisco | OnSite
Posted Jun 10, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
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- Learning budget
- Not verified
- Verification
- Not verified
- Salary
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- 401(k) match
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Software Engineer, Agents San Francisco | OnSite ABOUT THE ROLE You'll own end-to-end development of our core agentic workflow engine and Copilot - the AI assistant that helps developers build and debug workflows using natural language, turning high-level intent into executable, reliable agents. This spans our backend (Next.js), orchestration layer, and all integrations with LLMs and external APIs. Copilot is currently the best-in-class tool for building workflows with natural language. Your job is to keep it there and push it further - making it faster, more reliable, and capable of handling increasingly complex agentic architectures. This is a foundational role. You'll set architecture decisions, reliability standards, and coding patterns that define how the core product works. On a team of 5, your work ships to tens of thousands of developers on fast release cycles. WHAT YOU'LL DO - Own the agentic workflow engine: the runtime that executes multi-step, tool-using agent workflows in production - Build and evolve Copilot - our natural language interface for creating, editing, and debugging workflows - Design and maintain integrations with LLM providers (OpenAI, Anthropic, Google, local models via Ollama) and external APIs - Architect the orchestration layer that turns visual flows into reliable, observable agent executions - Set technical standards for the codebase - reliability, testing, code quality, and architecture patterns - Work across the stack in our Next.js monorepo, shipping to production daily - Debug hard problems at the intersection of LLMs, distributed systems, and developer tooling WHAT WE'RE LOOKING FOR - Strong generalist
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