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AI Engineer
Skills
Clinical TrialsEngineeringGo-To-Market StrategyHealthcareProperty Management SystemsReasoning SkillsSTEM
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 2–6 years of software engineering experience with AI and LLM-focused products
- Experience building complex AI applications end-to-end
- STEM undergraduate degree
- Ability to work across frontend backend and infrastructure
- Applied-AI literacy with evals statistics and LLM non-determinism
- Strong speed ownership and user-feedback mindset
Nice to have
- Startup experience
- Founder experience
- ASR experience
- HIPAA awareness
- EHR integration familiarity
Day to day
- Build and ship LLM-powered healthcare applications from prototype to production
- Develop end-to-end AI workflows such as clinical trial matching ambient copilots and billing automation
- Improve and optimize an LLM-powered documentation platform real time speech recognition systems and production inference pipelines
- Collaborate closely with PMs designers clinical experts and GTM teams to launch high-impact features quickly
Hiring process
- Engineering Manager screen (30 min)
- Coding & problem-solving interview (1 hr)
- AI challenge interview (1 hr)
- Product team conversation (30 min)
- Senior/staff deep dive (45 min)
- Offer