Note: The job is a remote job and is open to candidates in USA. X4 Life Sciences is recruiting for an unnamed scaling healthcare AI company that builds products for healthcare payers and providers. The Principal Full Stack Engineer will lead the design and delivery of secure, scalable web applications supporting a government department, including full-stack development, cloud infrastructure, and AI integration.
Responsibilities
- Own the architecture of full-stack applications, from front-end interfaces through to back-end services and cloud infrastructure
- Design, build and maintain scalable, secure web applications and APIs
- Provision, manage and optimise cloud infrastructure, including government cloud environments where applicable
- Design and implement robust integrations with LLMs and other ML models, including autonomous agents where appropriate
- Set and uphold CI/CD pipelines and infrastructure-as-code standards
- Mentor engineers, lead technical design reviews, and set standards for code quality, security and testing
- Work with product management and other engineers to define requirements and deliver high-quality products
Skills
- Candidates must be US citizens
- Must be able to successfully go through the government security clearance process
- 10+ years of professional software engineering experience, including significant full-stack work on customer-facing applications
- Strong front-end experience: for example React, Next.js or TanStack, using JavaScript and TypeScript, or equivalent
- Strong back-end experience: for example Python (FastAPI) or the Node.js ecosystem, or equivalent
- Proven experience designing secure, scalable REST and GraphQL APIs is essential
- Hands-on experience with AWS, Azure or GCP, including relational and NoSQL databases such as PostgreSQL or DynamoDB, or equivalent
- Experience building applications that consume LLM APIs, with working knowledge of prompt engineering and patterns such as chain-of-thought, ReAct and RAG, plus context window management
- Demonstrated experience setting architecture direction, mentoring engineers, and making pragmatic trade-offs
- Candidates with 10 to 15 years' experience are particularly well suited
- Experience integrating AI and ML models into production systems
- Existing US government security clearance
- Experience working with, or supporting, government authorities or government customers
- Experience building and maintaining CI/CD pipelines (GitHub Actions, Bitbucket Pipelines or similar)
- Infrastructure-as-code experience with Terraform, Pulumi or AWS CDK
- Startup mindset: a quick learner with a bias for action, ownership and pragmatism over perfection
Benefits
- Healthcare
- 401(k)
- Bonus
- Remote, with occasional in-person attendance
Company Overview