Note: The job is a remote job and is open to candidates in USA. The client is an unnamed venture-backed technology business building AI software for specialist teams in healthcare. The AI Engineer will own platform features end to end, build agentic workflows and automation products, integrate AI with existing systems, and improve products through direct user feedback.
Responsibilities
- Own platform features from initial discovery through to production, getting your work into users' hands quickly
- Build agentic workflows, search tools and document automation products
- Work directly with specialist users to understand their processes and identify where automation can make the biggest difference
- Integrate AI agents with existing systems, including legacy platforms with limited or complex APIs
- Build reliable, secure software for environments where compliance matters
- Develop feedback loops that turn specialist knowledge into better agent performance
- Work closely with engineering and product teams to prioritise features and respond to customer feedback
Skills
- Around 3-7 years of professional software engineering experience
- Strong full-stack engineering skills and experience building AI products
- Experience independently delivering complex agentic products or features end to end
- A background delivering software products at a startup or established technology company
- Experience shipping customer-facing software where reliability, security and compliance are critical
- Strong understanding of LLMs, agentic workflows and AI coding assistants
- Experience with Python and TypeScript
- Strong product judgement and the ability to turn user feedback into practical improvements
- Confidence working directly with non-technical stakeholders
- Visa sponsorship isn't available
- Depth in Python
- Experience in healthcare, fintech or other regulated industries
- Experience building tools for specialist users or operations teams
- Familiarity with adaptive memory or personalisation systems
- An interest in applying AI to complex, real-world workflows
Benefits
- Equity in a growing business at an early stage
- Remote working initially, moving to hybrid in either New York or San Francisco in Q1 2027 (3 days per week)
- High levels of autonomy and ownership from day one
- Work directly with engineering and product leadership from tier 1 companies
Company Overview