Software Engineer, Applied AI

This role is for an early- to mid-career software engineer building applied AI systems at the application layer, shipping agent-powered features, full‑stack apps, and durable workflows that power Inference Capital’s work. You’ll take meaningful ownership of production systems that turn improving model capabilities into dependable, economically valuable tools while helping shape a small, ambitious engineering culture.

• Build production systems across agent systems, full‑stack applications, durable workflows, and data infrastructure.
• Own system design, deployment, and iteration for agent‑powered features end to end.
• Test new models, frameworks, tool‑use patterns, and context approaches and product ionize improvements.
• Build evaluations, observability, and human‑review systems to make agent behavior measurable and reliable.
• Develop durable workflows and data infrastructure for tool coordination, context, state, retries, and failure recovery.
• Design and implement interfaces that make complex agent workflows clear, fast, and intuitive.
• Turn rapidly improving model capabilities into dependable production systems that perform economically valuable work.
• Lead substantial projects across product, agents, data, and infrastructure and receive direct user feedback.
• Help shape the technical foundation and engineering culture of a small team.

• A few years of software engineering experience with strong fundamentals and a track record of shipping production systems.
• Experience building full‑stack applications and owning features end to end.
• Hands‑on experience with LLM applications, agents, tool use, evaluations, or other applied AI systems.
• High agency, strong product judgment, and comfort moving across product, backend, data, and infrastructure.
• Genuine curiosity about agent developments and the judgment to separate useful advances from hype.
• Care for reliability, craft, and product detail, and comfort operating in a small team with broad problems and incomplete specs.
• Based in San Francisco or willing to relocate and excited to work with the team in person.
• Relevant experience such as fintech/financial data, early‑stage startups, durable workflow orchestration, human‑in‑the‑loop systems, or handling sensitive/permissioned data.