Software Engineer, Applied AI/Product (San Francisco)
AI healthcare startup (stealth) · United States
- Hybrid
- Full-time
- $150,000 / year
- United States
Tailored resume — keyword-matched to this role.
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Job highlights
- Build AI platform for medicine and law.
- Work across full-stack development.
- Engineer reliable, frontier AI systems.
- Iterate quickly with user feedback.
- Contribute to long-term vision.
About the role
About Us
We're a small team obsessed with deep thinking, speed, craftsmanship, and a customer-focused approach, committed to building the best care experience in healthcare with a 30-year horizon.
Our team has built and launched numerous products from 0-to-1, scaled startups from 10 to 300+ employees and from inception to over $1B in valuation, $60M+ ARR, and 100M+ MAU.
We are a group of technologists, physicians, engineers, and designers that are uniquely positioned to design and distribute the product in the healthcare industry.
Traction/PMF
We have strong product-market fit ($10MM+ ARR in under 14 months). We are profitable and funded by top-tier VCs in the healthcare vertical. We are looking for a generalist to work together to scale to hundreds of customers. You'll fit in if you want to take ownership of a product, codebase, or company from 1 to 100.
The Role
We’re building an agentic platform at the intersection of medicine and law, transforming complex, high-stakes casework into structured, actionable context. Our system handles patient records, legal workflows, and sensitive decisions, so reliability, clarity, and thoughtful engineering matter deeply.
As a Software Engineer, you'll work across the full stack: agent architectures, evals, the data and context that feed them, and the surfaces to interact with the platform and its harness.
Responsibilities
In a given week, that might mean:
- Building and shipping a new workflow that takes over a step of the case process, driven by something a physician or our ops team flagged.
- Designing the eval framework that decides whether an agent's output is reliable enough to ship, while piping the feedback into our synthesized knowledge base.
- Improving how the platform ingests, indexes, and assembles the right case context for an agent to work from.
- Adding new tooling to the interfaces users interact with day to day, bringing more of the platform's context and agent capabilities into their workflow.
- Iterating quickly on a feature with direct input from users, refining the agents based on real-world usage and feedback.
- Setting the patterns and tooling for AI-native development that the rest of the team builds on.
Qualifications
You’ll be a great fit if you:
- Engineer for correctness and reliability, not just functionality.
- Are excited to work with frontier models, and care as much about the evals and guardrails around them as the models themselves.
- Ship high-quality code fast, and can take a vague problem to a shipped solution without a spec.
- Own problems end-to-end, from the agent logic to the interface a user actually uses.
- Care about craft and the gap between something that works and something genuinely good to use.
- Want to play long-term games with long-term people. We're building for a 30-year horizon, not a quick exit.
Key skills/competency
- Software Engineering
- Applied AI
- Product Development
- Full-Stack Development
- Agent Architectures
- Evaluation Frameworks
- Data Indexing
- User Interfaces
- Reliability Engineering
- Healthcare Technology
Skills & topics
- Software Engineer
- Applied AI
- Artificial Intelligence
- Machine Learning
- Full Stack Developer
- Product Development
- Healthcare Technology
- Legal Tech
- Startup
- Venture Capital
How to get hired
- Tailor your resume: Highlight experience with AI, full-stack development, and ownership of projects to match the Software Engineer, Applied AI role.
- Showcase reliability: Emphasize your ability to engineer for correctness and build robust systems, crucial for this healthcare AI startup.
- Demonstrate speed and craft: Provide examples of shipping high-quality code quickly and iterating on features with user input.
- Understand the mission: Research the company's 30-year horizon and commitment to transforming healthcare to align your application with their long-term vision.
- Prepare for deep dives: Be ready to discuss your experience with agent architectures, evaluation frameworks, and end-to-end problem ownership during interviews.
Technical preparation
Practice full-stack development challenges.,Build AI projects with clear metrics.,Design agent architectures and guardrails.,Develop reliable, high-quality code.
Behavioral questions
Describe owning a problem end-to-end.,Share an example of shipping code fast.,How do you engineer for reliability?,Discuss a time you iterated with users.
Frequently asked questions
- What is the company's long-term vision for this Software Engineer, Applied AI role?
- The company is building an agentic platform at the intersection of medicine and law with a 30-year horizon. As a Software Engineer, Applied AI, you will play a key role in shaping this vision by working across the full stack to develop and refine AI systems that transform complex casework into actionable context.
- What kind of technical challenges can I expect as a Software Engineer, Applied AI at this stealth startup?
- You can expect to work on diverse technical challenges including agent architectures, designing evaluation frameworks for AI model reliability, improving data ingestion and indexing for complex case context, and developing user interfaces for interacting with the platform. The focus is on reliability, clarity, and thoughtful engineering in a high-stakes healthcare and legal domain.
- How does this stealth startup approach product development and iteration?
- This stealth startup emphasizes speed, craftsmanship, and a customer-focused approach. As a Software Engineer, Applied AI, you'll iterate quickly on features with direct user input, refining agents based on real-world usage. The team values shipping high-quality code fast and taking vague problems to shipped solutions without a formal spec.
- What does 'generalist' mean for this Software Engineer, Applied AI position?
- As a generalist, you will be expected to work across the full stack and own problems end-to-end. This means contributing to agent logic, data handling, evaluation frameworks, and user interfaces. The company is looking for individuals who are comfortable taking ownership of a product, codebase, or even the company's trajectory.
- What is the company culture like for a Software Engineer, Applied AI?
- The company culture is built around deep thinking, speed, craftsmanship, and a customer-focused approach. They value long-term games with long-term people and are committed to building something significant over a 30-year horizon, not seeking a quick exit. Expect a collaborative environment where engineers own problems and strive for genuine quality.
- How is the Applied AI platform used in the healthcare and legal industries?
- The agentic platform transforms complex, high-stakes casework in medicine and law into structured, actionable context. It handles patient records, legal workflows, and sensitive decisions, aiming to improve the care experience. The AI systems assist with case processes and provide context for users like physicians and legal professionals.