Software Engineer, AI Engineer

Job Description

Our client is hiring a Full Stack Engineering opportunity with a high-growth healthcare technology organization building large-scale, user-facing software for clinical and medical knowledge workflows, using modern AI, data-intensive systems, and distributed cloud architecture. The team delivers end-to-end features across frontend, backend, and data layers and values engineers who can build complete solutions, not just isolated components.

The role includes working across the stack using modern web technologies, APIs, cloud services, and performance-focused architecture. Hybrid in Boston, MA.

• Strong hands on full stack development experience
• Ability to design and implement features from database through API through user interface
• Comfortable working without step-by-step specifications
• Proven ability to ship production quality code
• Solid understanding of system design and application architecture
• High ownership mindset and personal accountability
• Motivated by building real software used by real users
• Comfortable operating in fast-changing technical environments

• Experience building and maintaining end-to-end web applications
• Frontend experience creating modern, highly polished interfaces
• Mobile development experience building user friendly applications
• Experience integrating machine learning or AI capabilities into applications
• Background working with model evaluation and measurable performance metrics
• Infrastructure or reliability experience supporting high availability services
• Experience improving application speed and reducing latency
• Familiarity with designing practical applied AI systems inside larger products

• Build full stack features from concept through production deployment
• Implement frontend interfaces, backend services, and supporting data flows
• Create thoughtful and detail oriented user experiences
• Develop APIs and services that support high scale usage
• Integrate AI or model driven capabilities where appropriate
• Strengthen system reliability and reduce failure points
• Identify performance bottlenecks and optimize them
• Use metrics and testing to validate improvements
• Collaborate closely with a small, senior engineering team

• Modern frontend frameworks and typed languages
• Backend services and API development
• Cloud based infrastructure and scalable architectures
• AI and ML model integration patterns
• Performance monitoring and reliability tooling

• Majority hands on coding and system building
• Regular technical collaboration and design discussion
• Architecture input and technical decision support

• Competitive base salary with performance based bonus potential
• Medical Insurance
• Dental Benefits
• Vision Benefits
• Paid Time Off PTO
• 401k with company match if applicable

Applicants must be currently authorized to work in the US on a full time basis now and in the future.

Posted By:
Sarah Carroll