Senior Product Engineer - AI Agents (Healthcare)

100ms is building AI agents that automate complex patient access workflows in U.S. healthcare, starting with benefits verification, prior authorization, and referral intake in specialty pharmacy. We help care teams reduce delays and administrative burden so that patients can start treatment faster. Our automation platform combines deep healthcare knowledge with LLM-based agents and robust ops infrastructure. You'll be joining a specialised team at 100ms focused on healthcare automation using AI. Additional information: At 100ms, employees are expected to work from the office at least three days a week (Tuesday, Wednesday, and Friday). Website: www.100ms.ai

Responsibilities

Design, develop, and maintain scalable full-stack applications that power rich user experiences; Build and extend RESTful APIs with robust monitoring, fault tolerance, and performance metrics; Work across the stack, from Python/Django/FastAPI backend services to modern frontend frameworks like React.js; Collaborate cross-functionally with product, design, and platform teams to deliver high-impact features; Take ownership of complex, ambiguous problems and drive them to resolution; Write clean, efficient, and maintainable code while following best practices and conducting code reviews; Participate actively in team discussions, contributing ideas and feedback to continuously improve systems and culture

Requirements

Bachelor's degree in Computer Science, Information Technology, or equivalent practical experience; 4+ years of professional software development experience; Strong knowledge of data structures, algorithms, and computer science fundamentals; Proven experience building and scaling production-grade applications; Proficient in Python/Django/FastAPI or Go for backend development; Experience with React.js, AngularJS, or Vue.js on the frontend; Skilled in designing and maintaining RESTful APIs with observability and fault tolerance; Comfortable working on complex and ambiguous technical problems

Nice to have

Experience working with distributed systems, containers, and Docker; Hands-on exposure to Kubernetes and cloud platforms like AWS, GCP, or Azure; Fluency in English with strong written and verbal communication skills; Track record of contributing to open-source projects or speaking at technical forums; Eagerness to learn and stay up to date with modern engineering practices; A growth mindset and openness to giving and receiving constructive feedback