AI-First Fullstack Engineer (Senior)
Role details
Job location
Tech stack
Job description
We're looking for a hands-on senior full-stack engineer, highly productive across frontend, backend, data, and cloud, who treats AI as a core part of the software development lifecycle.
This isn't about experimenting with AI on the side. We expect engineers to actively leverage AI-powered tools across design, implementation, testing, debugging, documentation, and operations, while maintaining strong engineering judgment and accountability for production outcomes.
What you'll be doing
- Own outcomes at the product and company level, not just your own tasks or services. High ownership is the bar here.
- Design, build, test, deploy, and operate full-stack features end to end.
- Build scalable frontend experiences and the backend services, APIs, and integrations behind them.
- Model and optimize relational data for complex, real-time workflows.
- Participate in architecture discussions and own the technical decisions for what you ship.
- Meet the performance, reliability, security, and compliance bar required for sensitive healthcare data.
- Work closely with account managers and fellow engineers to turn needs into shipped solutions.
AI-Fluent Engineering
- Use AI-assisted development tools as a standard part of your daily workflow.
- Leverage AI for code generation and refactoring, test creation, documentation, debugging and root-cause analysis, system-design exploration, and data analysis.
- Critically evaluate AI-generated output and validate correctness before it ships.
- Continuously explore new AI tools and capabilities, and identify where they can improve engineering efficiency and product quality.
- Contribute to our best practices for AI-assisted software development.
Requirements
Do you have experience in Software development?, Do you have a Master's degree?, * 5+ years of professional software engineering experience, including production ownership of web applications.
- Strong proficiency in JavaScript / TypeScript and a modern frontend framework (React preferred).
- Solid backend experience (Java/Kotlin, Python, or Go) with REST API and distributed-systems design.
- Strong SQL and schema design (MySQL/Postgres), comfortable modeling complex workflows.
- Comfort deploying and operating applications in the cloud (AWS or GCP).
- Strong problem-solving and debugging skills, and a bias toward clean, well-tested code that balances time-to-market with quality.
- Regular use of AI coding assistants in professional work: effective prompting and iteration, a clear sense of where LLMs help and where they fall short, and the ability to verify, test, and safely operationalize their output.
- A product mindset and the communication skills to work closely with product, design, and operations., * Containerization and orchestration.
- Building AI-powered features or integrating LLM APIs into production.
- RAG, vector databases, agent workflows, or AI evaluation frameworks.
- Constraint-solving, scheduling, or logistics systems.
- Fast-paced startup environments.