Software Engineer, Applied AI

About the Role

We'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 For

Required:

• 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.

Location

This 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.