Software Engineer, Applied AI
Summary
Build and ship production AI agent systems and full-stack applications for private market investing, focusing on evaluation, workflows, and user-facing features.
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.