js Front End Engineer

Bask Health
United States
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
Polish
Job source

Tech stack

JavaScript (Programming Language) Test Suite Application Programming Interfaces (APIs) Artificial Intelligence Databases Cursor (Graphical User Interface Elements) Software Debugging Node.Js Next.js Software Construction Software Systems SQL Databases
+8 more
TypeScript WebGL Three.js ReactJS Large Language Models Backend Build Tools Serverless Computing

Job description

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

Our serverless platform is a multi-tenant monorepo - Next.js and React on the front, tRPC and Prisma behind it, deployed on SST, TypeScript throughout. One engineer can follow a change from a form field to the database without crossing a team boundary. That’s the point.

Engineering at Bask Health is AI-first and builder-led. Work starts with general understanding of problem, moves to tools like Claude and Cursor for further investigation, making a plan and building, tested on staging with realistic data, released to production, tested with real patient and care teams, and then 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 end to end, from concept through production. Write elegant, well-tested code - we have a real test suite and we intend to keep it that way.
  • Work across the stack. Follow a feature from the interface through the API to the database. No handoffs, no waiting on another team.
  • Work AI-first with Cursor and Claude Code. Use LLMs 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 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 that make the next feature faster to ship.
  • 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, so we move faster together without cutting corners that matter to patient outcomes.

Requirements

Someone entrepreneurial who’s taken products from 0 to 1, willing to roll up their sleeves, and drawn to a mission that disrupts how healthcare gets delivered.

  • Shipped WebGL we can open - Three.js or React Three Fiber, live, running on a phone.

  • Highly skilled with React, TypeScript, Next.js, and JavaScript.

  • Real taste in motion, timing, and restraint - and the ability to defend it.

  • Enough backend to be dangerous (Node, SQL) and an appetite for SST and Drizzle. Not required on day one.

  • Comfortable owning entire projects and large areas of a codebase independently.

  • Experience building paid products and services.

  • A strong communicator - clear on technical problems, constraints, and timelines.

  • Comfortable in a fast-paced, unstructured, startup environment.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

5:18 min

Generating WebGL shaders manually for complex multiple shape strokes

Elena Torró · Coffee With Developers

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

1:21 min

Exploring the target application for front end tests

Anna Mcdougall · JS Congress

2:14 min

Exploring frontend development choices beyond standard JavaScript frameworks

Stacy Cashmore · World Congress 2022

1:38 min

Transitioning into backend engineering from web development

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

1:42 min

Performance drawbacks of scroll-triggered animations and WebGL

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