Experience:

• 2+ years of professional experience in software engineering, product engineering, or full-stack application development
• Hands-on experience delivering real AI-powered applications in production using Claude, Cursor, Codex, OpenAI, Anthropic, or similar AI platforms

Responsibilities:

• Own stakeholder relationships across Medbridge’s executive team to identify AI-enabled solutions
• Design, build, and ship AI-powered features from UI to backend and AI workflows
• Build full-stack applications using AI-native engineering workflows and tools
• Develop APIs, backend services, and automation pipelines supporting intelligent product capabilities
• Apply software engineering, DevOps, and MLOps best practices for AI solutions
• Partner with Product and Engineering teams to turn ambiguous goals into scalable internal products
• Use AI tooling throughout workflow and promote team adoption
• Research emerging AI technologies and implementation patterns
• Instrument shipped products and use data to guide future development

Additional responsibilities:

• Operate in a high-ownership, high-judgment environment
• Make decisions with incomplete information
• Transform ambiguous problems into finished products
• Communicate tradeoffs clearly to engineers and non-engineers
• Demonstrate product instinct by understanding user needs before coding
• Balance bias toward shipping and learning with judgment for quality
• Own outcomes rather than just tasks

Nice to have:

• Experience building evals or quality harnesses for LLM-based systems
• Designing agent loops, tool integrations, or guardrails
• Familiarity with vector databases, embeddings, semantic search
• Experience with orchestration and AI workflow automation frameworks
• Familiarity with cloud platforms (AWS, Azure, GCP)
• Experience with containerization and deployment technologies like Docker and Kubernetes
• Strong product design instincts and ability to produce clean interfaces without a dedicated designer
• Experience in healthcare, healthtech, or regulated/high-trust domains
• History of raising engineering standards in testing, review, observability, or tooling

More skills:

AI-powered application development, Full-stack engineering, Python, TypeScript, JavaScript, OpenAI APIs, Anthropic APIs, LLM integration, Generative AI workflows, APIs, Backend services, Automation pipelines, Software engineering best practices, DevOps, MLOps, Testing, Deployment, Monitoring, Evaluation, Optimization

Other:

• Salary range: $150K - $160K based on skills and experience
• Medbridge embraces diversity and is an equal opportunity employer
• Values include Excellence, Fortitude, and Service
• Work impacts patient health and requires high standards
• Encourages ambitious projects and servant-leadership mindset