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. \n

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 environment: Work with modern AI-assisted development tools and help shape engineering practices in a rapidly evolving healthcare technology setting.

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