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Applied AI Product Engineer
Skills
Computer ScienceDevopsDatabasesHealthcareHealthcare DeliveryInfrastructure AutomationMedical Technology
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor's degree in Computer Science Software Engineering Artificial Intelligence Data Science or related technical discipline
- 2+ years of professional experience in software engineering product engineering or full-stack application development
- Hands-on experience delivering 2-3 production-level AI projects using Cursor Claude Codex OpenAI Anthropic or similar platforms
- Strong programming skills in Python TypeScript JavaScript or related modern languages
- Experience integrating LLMs prompt engineering AI agents generative AI workflows or RAG architectures
- Familiarity with AWS Azure or Google Cloud Platform plus Docker and Kubernetes
- Strong communication collaboration analytical and problem-solving skills
- Ability to work independently in a remote Agile environment
Nice to have
- Hands-on
- Collaborative
- Analytical
- Adaptable
- Independent
- Detail-oriented
Day to day
- Design and build AI-powered features for healthcare product platforms and operational systems
- Develop full-stack applications using modern AI engineering tools and LLM technologies
- Collaborate with product, design, engineering, and clinical stakeholders to deliver scalable user-focused solutions
- Create APIs backend services automation pipelines and AI workflows for production-ready deployments
- Apply software engineering DevOps and MLOps practices to testing deployment monitoring and optimization
- Research emerging AI methods and improve platform capabilities in a fast-paced Agile environment
Hiring process
- Fingerprinting at a government facility
- Background check