AI Solutions Engineer, Collective Minds Radiology

• The ideal candidate brings strong technical skills, an entrepreneurial mindset, and an understanding of B2B SaaS and Healthcare/Life Science workflows
• BSc/MSc in Computer Science, Engineering, or equivalent technical field
• Strong Python programming skills and software development best practices
• Experience with containerization technologies like Docker
• Familiarity with Agentic frameworks, LLMs, prompt engineering, vector databases, and embedding technologies
• Understanding of data processing pipelines and workflows
• Ability to build end-to-end AI solutions, from concept to production
• Demonstrated experience with full-stack development (frontend, backend, data integration)
• Knowledge of AI ethics principles, particularly in healthcare applications
• Strong problem-solving abilities and attention to detail
• Excellent communication skills for explaining technical concepts to non-technical stakeholders
• Self-motivated with ability to work independently and as part of a team
• Ability to drive all work in English

Desirable

• We’re seeking an AI Solutions Engineer to design and deploy AI systems that empower radiologists and healthcare providers worldwide
• In this role, you’ll build and scale AI solutions for our global medical imaging platform, from prototyping to production, working alongside Commercial, Product, and Customer Success teams
• In this role, you will develop, implement, and optimize AI-powered systems for our global medical imaging platform and our customer facing functions
• You’ll be responsible for creating end-to-end solutions - from proof-of-concept (POC) prototypes to production-ready applications - working closely with our Commercial, Customer Success, Integration and Product Engineering teams
• At Collective Minds, you’ll be part of a fast-moving, international team that is transforming how healthcare professionals work with cutting-edge tools that improve both efficiency and patient care
• You’ll have the opportunity to build solutions that make a real impact in healthcare delivery globally
• Partner with Product, Commercial, and Customer Success teams to integrate AI tools into clinical workflows and customer-facing processes
• Design and develop AI-powered solutions for medical imaging applications, integrating LLMs, Agentic frameworks, computer vision, and traditional ML approaches
• Build full-stack AI prototypes and production systems, including backend APIs, frontend interfaces, and data pipelines
• Create and optimize data processing workflows for AI model training, fine-tuning, and evaluation
• Develop high-throughput DICOM pipelines for ingesting, preprocessing, and analyzing medical images
• Apply MCP (Model Context Protocol) to improve AI model interoperability and performance
• Research and prototype emerging AI/ML techniques (e.g., multimodal LLMs) to keep our platform at the forefront of innovation
• Own end-to-end AI project execution, from scoping requirements to deployment in clinical environments
• Create and maintain comprehensive documentation for AI systems and processes
• Continuously evaluate and improve AI model performance based on user feedback and metrics