Software Engineer, Applied AI
About this role
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.
What you'll do
- 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 productionize 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.
What Inference Capital is looking for
- 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.
Company at a glance
Inference Capital is an AI-native investment firm with permanent capital and allocators across private markets, offering advisory and direct allocation to provide market access and perspective for private-market decision-making. It emphasizes engineering-first principles and building core agent and data infrastructure.
What happens next
Skip the application pile. I get you in front of the people who decide.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
When the company wants to meet, I get the call on your calendar. You just show up.
Culture & values
The firm is built on engineering-first principles.
Agents are embedded at the foundation of the company, indicating a hands-on, integrated team structure.
The work emphasizes building core agent and data infrastructure from the ground up, suggesting a growth mindset and emphasis on technical collaboration.
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