Back-End Software Engineer

As an 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.

We are looking to expand our software engineers, seeking those with deep rooted entrepreneurial spirit.

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 Java script being a must
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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.

• 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 are doing on behalf of patients and providers. Earn trust through transparency, reliability, and thoughtful defaults.
• Champion performance, accessibility, and reliability: Ship work that is fast, robust, and accessible. Partner across the team to debug, optimize, and raise the bar over time.
• Share AI-native workflows: Document prompts, patterns, and workflows that work. Share them across the engineering team so we move faster together without cutting corners that matter to patient outcomes.

We are a highly collaborative team.