About the RoleWe're a small, ambitious team building applied AI systems at the intersection of private market investing and cutting-edge model capabilities. This is an early- to mid-career role for a software engineer who wants to own production systems end to end - shipping agent-powered features, full-stack applications, and durable workflows that turn improving model capabilities into dependable, economically valuable tools.
You'll work in person with a tight-knit team in San Francisco, take on substantial ownership from day one, and help shape both the technical foundation and engineering culture of a high-conviction company backed by top-tier investors.
Visa sponsorship is not available for this role.What You'll Do- Build and operate production systems spanning agent architectures, full-stack applications, durable workflows, and data infrastructure.
- Own system design, deployment, and iteration for agent-powered features from concept to production.
- Evaluate new models, frameworks, tool-use patterns, and context strategies - then productionize the improvements that matter.
- Build evaluation pipelines, observability tooling, and human-review systems to make agent behavior measurable and reliable.
- Develop durable workflows and data infrastructure covering tool coordination, context management, state, retries, and failure recovery.
- Design and implement interfaces that make complex agent workflows clear, fast, and intuitive for end users.
- Lead substantial cross-functional projects across product, agents, data, and infrastructure - and receive direct user feedback on your work.
- Contribute meaningfully to engineering culture and technical direction on a small, high-ownership team.
What We're Looking ForRequired:- A few years of software engineering experience with strong fundamentals and a proven track record of shipping production systems.
- Hands-on experience building and operating human-in-the-loop evaluation and review systems to monitor and improve agent behavior.
- Experience designing and implementing evaluations and metrics to measure model performance, reliability, and production impact of AI agents.
- Strong ownership mindset with demonstrated ability to lead cross-functional projects across product, data, and infrastructure.
- Experience building full-stack applications and owning features end to end.
- Direct experience with LLM applications, agents, tool use, or other applied AI systems.
- High agency, strong product judgment, and comfort moving fluidly across product, backend, data, and infrastructure.
- Genuine curiosity about agent developments and the judgment to separate useful advances from hype.
- Based in San Francisco or excited to relocate - this role is fully in-person.
Nice to Have:- Background in fintech, financial data, or capital markets.
- Experience at early-stage startups.
- Hands-on work with durable workflow orchestration (e.g., Temporal, Prefect, or similar).
- Experience handling sensitive or permissioned data.
Compensation & Benefits- Salary: $150,000 - $250,000 USD annually, depending on experience.
- Equity participation in a well-backed, early-stage company.
- Direct impact on a small team where your work is immediately visible and consequential.
LocationThis role is
on-site in San Francisco, CA. Candidates must be based locally or genuinely willing to relocate. Remote work is not available for this position.
