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 across internal teams
• Build full-stack applications using AI-native 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 deployment and monitoring
• 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 and push back on inadequate solutions
• 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, TypeScript, JavaScript, AI-native engineering workflows and tools, Anthropic API, APIs development, Backend services, Automation pipelines, Software engineering best practices, DevOps, MLOps, Generative AI workflows

Other:

• Salary range $150K - $160K based on skills and experience
• Medbridge embraces diversity and is an equal opportunity employer
• Company values include Excellence, Fortitude, and Service
• Work impacts patient health and requires high standards
• Encourages ambitious projects and servant-leadership mindset
• Hiring process includes official communication only from @ emails