Senior Full-Stack Engineer - AI Tools for Mental Health Care

About the role

A national pediatric mental health provider is hiring a senior full-stack engineer for a 6-month AI transformation initiative. The engineer improves non-technical teams' workflows with AI while the client integrates and re-architects parts of its platform. The project is reported to an engineering manager, with a Director of Engineering as executive sponsor.

Key responsibilities

• Work with stakeholders outside engineering to understand their workflows and find where AI can help.
• Design the architecture of each solution yourself and own it from start to finish: application, infrastructure, tooling and deployment.
• Build and ship AI-enabled internal tools, including integrations between existing systems and LLM-powered features or agents.
• Use AI coding tools to prototype fast, show working versions to users and iterate on their feedback.
• Explain technical decisions in plain language to non-technical stakeholders and report progress daily or weekly.
• Set up your own local environments and work with the platform team to deploy to production, following the client's data privacy, security and governance controls.

Required profile

• Senior-level full-stack engineer able to design and build an application end to end.
• Excellent communication and stakeholder management, translating technical work for non-technical people.
• Product sense: visualising a product and proposing a fit solution without a ticket or spec.
• Genuine enthusiasm for AI and a daily AI-first workflow.
• Experience integrating LLMs into applications, or strong full-stack experience plus relevant AI prototypes.
• Autonomy: comfortable owning architecture, infrastructure and tooling and reporting progress without micromanagement.
• Comfortable spinning up containers, Kubernetes and AWS locally and deploying with a platform team.
• Passes the client's AI transformation assignment, including a recorded video.

Required skills

• Java or Python, and React preferred.
• Basic infrastructure: containers, Kubernetes, AWS.

What we offer

• 100% remote work, with a laptop and reliable internet.
• Highly competitive USD pay.
• Paid time off.
• Freedom to manage your own time and focus on results.
• Projects with top American companies and a diverse global network of 600+ professionals.