Engineering Lead - US Healthtech AI

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Engineering Lead – US Healthtech AI based in the United States.

This is an exciting opportunity for a hands-on engineering leader to build and scale a high-performing team developing AI-powered healthcare technology. You will join a fast-growing healthtech environment focused on transforming healthcare revenue cycle management through automation and intelligent software solutions. Starting with hands-on development, you will architect and deliver production features while establishing engineering standards and best practices. You will also recruit, mentor, and lead a team expected to grow from 3–5 engineers to 15–25 within a year. Working closely with US-based Product and Engineering teams, you will own a product area end to end, from architecture through production support. This fully remote, long-term opportunity is ideal for a technical leader who combines strong software engineering expertise, team-building experience, and a passion for AI-driven innovation.

Accountabilities

• Design, develop, and ship production-ready software features from day one, contributing directly to the codebase while guiding technical direction.
• Take end-to-end ownership of a product area, overseeing architecture, implementation, deployment, and ongoing production support.
• Build and scale the engineering team, including recruiting, mentoring, developing engineers, and establishing effective team processes and working practices.
• Lead technical execution across a growing team, ensuring projects are appropriately scoped, delivery is predictable, and engineering priorities remain aligned with business objectives.
• Collaborate closely with US-based Product and Engineering stakeholders to define solutions, coordinate development, and deliver meaningful product improvements.
• Establish and maintain high standards for software quality, reliability, scalability, and security within a HIPAA-regulated healthcare environment.
• Leverage AI-assisted development tools and workflows to accelerate software delivery while maintaining strong engineering standards.
• Contribute to the development of innovative healthcare technology, potentially across payer portal automation, payer policy tooling, Voice AI, and related product areas.

Requirements

• 10+ years of experience building SaaS products, with strong full-stack software engineering expertise.
• Demonstrated engineering leadership experience as an Engineering Manager, Director, or in a comparable role, ideally including building and scaling a team from the ground up.
• A hands-on leadership approach, with the ability and willingness to continue writing code while guiding technical strategy and team development.
• Strong technical proficiency in Python, React, TypeScript, AWS, PostgreSQL, and Snowflake.
• Fluent English communication skills and substantial experience collaborating with US-based teams across product development and engineering delivery.
• Strong ownership mindset, sound technical judgment, and the ability to plan, prioritize, and deliver reliably in a fast-paced environment.
• Experience working with AI-assisted software development tools and modern engineering workflows is valuable.
• Healthtech or revenue cycle management (RCM) experience is strongly preferred.
• Familiarity with payer integrations, robotic process automation (RPA), large language models (LLMs), FastAPI, or LangChain is an advantage.
• The ability to balance technical execution, people leadership, security requirements, and product outcomes as the engineering organization grows.

Benefits

• Founding leadership opportunity: Play a central role in establishing and scaling a new engineering team.
• Meaningful ownership: Take responsibility for a product area from architecture through production, with the opportunity to influence technical direction and delivery.
• Career growth: Help grow an engineering team from an initial 3–5 members toward a planned 15–25 engineers within a year.
• Fully remote work: Work remotely from Latin America, including Brazil, Uruguay, and other eligible LATAM locations, with overlap during US Eastern Time working hours.
• Company-provided equipment: Receive a MacBook for your work.
• Long-term engagement: Join on a full-time, long-term contract dedicated to one client and integrated into its engineering team.
• AI-native environmen…