Mid/Senior AI Engineer, New Products (0→1) - Latin America

Casado; Brazil; On-site; BRL 509,000 - 712,000; Full time

Job summary

Casado, a healthtech company, seeks a senior product leader to turn vague bets into validated hypotheses. You will define the smallest viable product, build it end-to-end, run it with clinicians, and decide quickly.

Expect to own the stack—from models to frontends—while applying AI-native approaches daily and communicating fluently in English. We value a 0→1 track record with shipped products, strong execution, and the ability to balance speed with quality in a clinical context.

Qualifications

• Senior 0→1 track record: owned products from idea to shipped with proven bets.
• Extreme bias to action: produce working solutions within a week for vague problems.
• Full-stack depth in AI: strong Python and backend, data, and lightweight frontends.
• AI-native: daily use of AI tools to gain leverage.
• Fluent in English.

Responsibilities

• Take a product idea from ambiguity to a validated hypothesis quickly, design the smallest signal-producing thing, build it, test with users, and decide.
• Kill ideas early by proving with evidence and iterating rapidly.
• Build MVPs fast and ensure prototypes that survive become products.
• Own the whole stack: models, services, data, and thin interfaces without handoff.
• Break down hard problems into simple, executable steps.

Skills

Senior 0→1 track record

Extreme bias to action

Full-stack AI depth

AI-native coding

Fluent in English

Job description

Employment Type: Full-time

Level: Mid-Senior Level

About the companyAn enterprise is actively recruiting: a healthtech company on a mission to transform healthcare in Latin America and beyond. Born at Stanford and built by doctors for doctors, their platform introduces AI Healthcare Employees that work invisibly inside clinical workflows - transcribing consultations in real time, generating structured medical records, offering evidence-based decision support, and integrating seamlessly with any current health system - all without disrupting the physician's flow.

You'll turn vague product bets into answers - fast: define it, build the smallest thing that produces real signal, run it against real users, and make the call. What you prove decides what the company builds next.

What you'll do

• Take a product idea from ambiguity to a validated hypothesis in days, not quarters. Design the smallest thing that produces real signal, build it, run it, and make the call
• Kill ideas early. "This doesn't work, here's the evidence, next" is often the most valuable output of the week
• Build MVPs fast without building throwaway - the prototypes that survive become products
• Work the whole stack of a product: models, services, data, and whatever thin interface tests the idea. No spec handed to you, no handoff away from you
• Collapse hard problems into simple ones. That's the skill this role is really hiring for

What you bring

• A senior 0→1 track record: products you owned from idea to shipped, not projects you contributed to. You can describe a bet that paid off and one you killed
• Extreme bias to action. Given a week and a vague problem, you produce something running, not a documentJudgment on what to fake, what to hardcode, what to skip - and what has to be right on day one, because in a clinical context some corners cannot be cut
• Full-stack range with real depth in AI: strong Python and enough command of backend, data, and lightweight frontends to ship alone, with the AI layer as your strongest suit
• AI-native: you code with AI tools daily and get real leverage from them
• Fluent in English

BonusHealthcare or clinical domain knowledgeExperience in fast-paced environments

Salary: $100,000 - $140,000

Important note: We are currently recruiting on behalf of this company. Please note that submitting your application gives us explicit authorization to share your profile and information with this partner company.

A senior 0→1 track record: products you owned from idea to shipped, not projects you contributed to. You can describe a bet that paid off and one you killed, Extreme bias to action. Given a week and a vague problem, you produce something running, not a document, Judgment on what to fake, what to hardcode, what to skip - and what has to be right on day one, because in a clinical context some corners cannot be cut, Full-stack range with real depth in AI: strong Python and enough command of backend, data, and lightweight frontends to ship alone, with the AI layer as your strongest suit, AI-native: you code with AI tools daily and get real leverage from them, Fluent in English