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Senior Back-End Software Engineer

Bask HealthArgentina🌍 Remote
Full-timeSenior
👁️ 1 views📝 0 applicationsPosted 6/22/2026Expires 8/21/2026

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Job Description

As a Senior Back-End engineer at Bask you will work directly with the CEO and CTO to build and design the software infrastructure that will serve as the backbone of telehealth. Our serverless platform is built using Next. js & SST for a powerful multi-tenant application.

It is important to be fluent in these frameworks, with Typescript and Javascript being a must . Engineering at Bask Health is AI-first and builder-led.

Work starts in an LLM to clarify intent and constraints, moves into tools like Claude and Cursor to explore and build, is tested with real patients and care teams, and then comes back for systems and polish.

AI is a default part of how we work, not a side experiment — because moving fast in healthcare requires every advantage. We are looking for engineers who take end-to-end ownership, treat AI as a real collaborator, and care deeply about building software that meaningfully improves how healthcare is delivered.

What You'll Do

Design, build, and ship high-quality product experiences: Own key surfaces and services end to end, from concept through production. Write elegant, well-tested code that makes complex clinical and operational behavior feel simple and reliable.

Work AI-first with Cursor and Claude Code: Use LLMs, Cursor, and Claude Code as your starting point. Draft intent, explore implementations, scaffold components, and refactor with AI in the loop. Apply your own judgment to meet the quality bar healthcare demands.

Prototype fast and validate with real users: Build and test implementations quickly with real patients and care teams. Use what you learn to refine before fully committing — especially in sensitive clinical contexts where getting it right matters.

Build for scale and own the codebase: Translate product needs into reusable, well-architected patterns. Build in a way that makes the next feature faster to ship and easier to maintain. Make automation legible and trustworthy: Build systems that clearly communicate what AI and automation