ComeBack Mobility

We are building a platform that helps hospitals safely use AI to analyze medical images - X-rays, CT, and MRI scans. Our mission: help doctors detect diseases faster and more accurately by making AI reliable and trustworthy.

We’re creating a small, high-impact engineering team where every engineer owns their work from idea to production and leverages AI tools to accelerate development. This is your chance to shape how AI and engineering work together from day one.

Responsibilities

• Develop and maintain scalable web applications using PHP and Symfony
• Design and implement RESTful APIs
• Collaborate with cross-functional teams including frontend developers and product managers
• Ensure code quality through code reviews, testing, and best practices
• Contribute to architectural decisions and technical improvements
• Work with containerized environments in both development and production

Technical Requirements

• Strong knowledge of HTML, CSS, TypeScript
• Solid experience with PHP 8.2+
• Proven experience with Symfony (>= 6.4), including modern concepts (services, events, messenger)
• Experience with Symfony 5.4
• Good knowledge of Doctrine
• Experience with REST APIs
• Hands-on experience with Docker / containerization
• Proficiency with Git (branching strategies, code reviews)
• Basic knowledge of React
• Basic knowledge of MySQL

Experience & Skills

• Experience with Symfony UX (Live Components, Stimulus)
• Strong background in developing and maintaining large-scale PHP applications
• Solid understanding of OOP and design patterns
• Experience with Test-Driven Development (PHPUnit)

Nice to Have

• Experience with modular PHP development using Symfony
• Basic knowledge of GitLab CI/CD Pipelines

We are building a platform that helps hospitals safely use AI to analyze medical images - X-rays, CT, and MRI scans. Our mission: help doctors detect diseases faster and more accurately by making AI reliable and trustworthy.

We’re creating a small, high-impact engineering team where every engineer owns their work from idea to production and leverages AI tools to accelerate development. This is your chance to shape how AI and engineering work together from day one.

Must Have:

• 5+ years of professional software engineering experience
• Strong backend development experience with Node.js (Express, APIs)
• Frontend development experience with Vue.js or React in production applications
• Experience with Docker containerization and CI/CD workflows
• Hands-on experience deploying and maintaining applications in production environments
• Comfortable working in small teams or startup environments with high ownership
• Daily, active use of AI development tools (Copilot, Claude Code, Cursor, or equivalent)

Nice to Have:

• Experience with Python/FastAPI for AI/ML services
• Familiarity with medical imaging standards (DICOM, HL7) or PACS systems
• Experience with microservices architecture and distributed systems
• Exposure to DevSecOps practices, secret management, and dependency scanning
• Experience with on-premise deployments in restricted networks (e.g., hospitals)

Will Be a Plus:

• Understanding of AI inference pipelines and model serving
• Previous work in regulated environments or healthcare software

Responsibilities:

• Design, implement, and maintain full-stack features across the platform (backend, frontend, ML integration)
• Deploy and manage applications in production, including hospital on-premise systems
• Integrate AI models into real-world workflows and help teams use AI tools for development
• Define engineering standards, testing strategies, and best practices for the team
• Maintain CI/CD pipelines, observability, and infrastructure automation

Why It’s Exciting:

• Your code directly impacts doctors and patients, helping detect diseases earlier
• Full ownership of your work — you define solutions end-to-end
• Exposure to cutting-edge AI technologies and AI-assisted development workflows
• Gain rare experience in deploying AI in regulated environments with compliance (SOC 2, audit trails, secure deployments)
• Work with complex real-world data formats and systems (medical imaging, DICOM, HL7)
• Help define the engineering culture for a founding team — your decisions will guide future hires