AI Engineer, New Products

About the Role

We are looking for a highly autonomous, IC-hungry builder to join a healthtech startup as a 0→1 New Products Engineer. This role exists to rapidly prototype, validate, and build MVPs for new product bets, turning vague ideas into real signals in days, not months.

You will own new product initiatives end to end, from ambiguous concept to shipped prototype, making fast go or no-go decisions and scaling what works. If you thrive in high-velocity environments, use AI coding tools daily, and have a genuine obsession for building products that matter, this is your opportunity.
What You Will Do

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Own 0→1 product bets from idea to shipped MVP, and kill early when signals say so

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Build end to end without handoffs: backend, AI layer, frontend, and deployment

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Rapidly prototype and validate new features in days using Python and modern AI tools

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Work invisibly inside clinical workflows to build AI Healthcare Employees

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Make architectural and product decisions with extreme ownership and bias to action

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Integrate AI coding tools into your daily workflow to maximize leverage

What You Will Bring

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Track record of owning 0→1 products from idea to shipped (founding roles or early-stage startup tenure strongly preferred)

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Full-stack technical range with strong Python and AI layer experience

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Located in Latin America: Brazil, Colombia, Mexico, Argentina, or Chile

- Fluent in English (written and spoken)

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Extreme bias to action and comfort with ambiguity

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Portfolio or GitHub showing shipped work you are proud of

Bonus Points For

- Healthcare or clinical domain experience

- Based in Sao Paulo, Brazil

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Prior experience in fast-paced, high-ambition LatAm scale-ups (Nubank, Rappi, Kavak, Loggi, and others)

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Y Combinator or similar accelerator alumni

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Experience with AI coding assistants (Cursor, Copilot, and others) as daily drivers

What Will Not Be a Fit

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Recent management, director, or purely team-lead experience (this is a hands-on IC role)

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Background primarily in slow-moving enterprise environments where engineers do not own the full product lifecycle

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Preference for well-defined requirements over ambiguous, fast-moving problem spaces

Why Join?

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Work on AI products that directly impact healthcare delivery and clinical workflows

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Extreme ownership: you decide what to build, how to build it, and when to kill it

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High-velocity environment with rapid iteration and real-world impact

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Competitive salary ($100K - $140K) with equity upside

- Remote-first across Latin America

Interview Process

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Initial conversation - Background, motivation, and fit

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Technical deep-dive - Walk through your 0→1 projects and technical decisions

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Product thinking exercise - How you would approach a new product bet

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Founder chat - Vision alignment and culture fit

Originally posted on Himalayas