Role Description
About the Opportunity
Our client is a fast-growing healthcare AI startup that achieved 30x revenue growth over the past year.
The company develops and deploys AI agents directly within leading healthcare systems, working with organizations such as Mayo Clinic and Cleveland Clinic to improve clinical workflows and operational efficiency.
We're looking for Forward Deployed Engineers who enjoy combining hands-on software development with direct customer collaboration.
This is a founding-level, high-ownership opportunity where you'll serve as the bridge between healthcare professionals and a production AI platform, turning complex clinical challenges into reliable, real-world solutions.
What You'll Do
- Work directly with physicians, hospital IT teams, and clinical stakeholders to understand their workflows, challenges, and technical needs.
- Translate loosely defined clinical ideas into production-ready AI agents.
- Design, build, test, and deploy AI agents end-to-end.
- Develop evaluations (evals) to validate the reliability and performance of deployed agents.
- Continuously improve AI solutions based on clinical guidelines, user feedback, and operational requirements.
- Troubleshoot technical issues and deliver improvements quickly.
- Take full ownership of the development and deployment process, from identifying a problem to delivering a working solution.
- Collaborate with engineering, product, and customer teams in a fast-paced startup environment.
What We're Looking For
- 1–6 years of professional experience in full-stack software engineering, forward-deployed engineering, or a related role.
- Strong hands-on experience with Python for backend development.
- Experience with React and TypeScript for frontend development.
- Practical experience with Rust, Kubernetes, and AWS.
- Experience developing, deploying, and maintaining production software.
- Strong problem-solving skills and the ability to work independently in ambiguous environments.
- Excellent communication skills and confidence working directly with customers and nontechnical stakeholders.
- A demonstrated record of exceptional performance, rapid career progression, or meaningful contributions to demanding engineering teams.
- Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related STEM field.
- Availability to work on-site in San Francisco.
- Experience in a high-growth startup, forward-deployed engineering environment, or a demanding software engineering team, with demonstrated technical ownership and strong problem-solving skills.
- Proven ability to collaborate directly with customers, understand complex requirements, and deliver production-ready technical solutions.
Additional Advantages
- Experience in healthcare or health technology.
- Experience building AI agents or working with production AI applications.
- Familiarity with clinical workflows, healthcare systems, or regulated environments.
- Experience with infrastructure tooling such as Helm.
- Background in early-stage or rapidly scaling, venture-backed companies.
Compensation and Support
- Annual salary: $180,000–$285,000 USD, based on experience and seniority.
- Equity: Included in the compensation package.
- Relocation support: Available.
- Visa sponsorship: Available, including eligible H-1B and TN sponsorships and visa transfers.
Why Join?
This is an opportunity to help shape a rapidly growing healthcare AI company at an early stage, with significant ownership over technical solutions that are deployed in real clinical environments.
You'll work closely with healthcare professionals, tackle complex engineering challenges, and see the direct impact of the software you build.
Pay: $180,000.00 - $285,000.00 per year
Benefits:
- Relocation assistance
Work Location: In person
About Forward Deployed Engineering
Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.
Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.
Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.
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