Product Engineer – AI

MedBridge

Product Engineer (AI) at Medbridge leading AI integration in healthcare technology solutions. Collaborating with cross-functional teams to develop and deploy innovative AI-powered products.

Posted 7/14/2026full-timeRemote • Arizona, Colorado, Florida, Idaho, Illinois, Kansas, Massachusetts, Minnesota, Missouri, New Hampshire, New York, North Carolina, Ohio, Oregon, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, Washington, Wisconsin • 🇺🇸 United StatesJuniorMid-Level💰 $150,000 - $160,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in full-stack application development with a strong focus on AI-powered solutions, leveraging tools like Claude, Cursor, Codex, and OpenAI. Possesses a solid understanding of software engineering, DevOps, and MLOps best practices to optimize AI workflows and product capabilities.

Highest-signal resume keywords

Full-Stack Application DevelopmentAI-Powered Application DeliveryProficiency in Python, TypeScript, or JavaScriptIntegration of LLMs and Generative AI WorkflowsClear Written and Verbal Communication

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Software EngineeringProduct EngineeringAI Development PlatformsAPI DevelopmentAutomation PipelinesMLOps Best PracticesDevOps Best PracticesPrompt EngineeringGenerative AI WorkflowsProduction-Grade Application Deployment

Soft Skills

Product InstinctBias Toward ShippingComfort with AmbiguityJudgment in Decision-MakingStakeholder Relationship Management

Tools & Technologies

ClaudeCursorCodexOpenAIAnthropic APIsAI ToolingAI WorkflowsMonitoring ToolsEvaluation ToolsOptimization Tools

Industry Keywords

AI SolutionsAI TechnologiesLLM Implementation PatternsEmerging AI TechnologiesIntelligent Product Capabilities

Tech Stack

Tools & technologies

JavaScriptPythonTypeScript

About the role

Key responsibilities & impact

Own stakeholder relationships across Medbridge’s executive team, working with them to find the problems and AI enabled solutions that can expedite, or remove, the current blockers in the business.
Design, build, and ship AI-powered features across our internal teams, from the user interface to the backend services and AI workflows behind it.
Build full-stack applications using AI-native engineering workflows and tools such as Claude, Cursor, Codex, and OpenAI and Anthropic APIs.
Develop APIs, backend services, and automation pipelines that support intelligent product capabilities and production-ready deployments.
Apply software engineering, DevOps, and MLOps best practices to the testing, deployment, monitoring, evaluation, and optimization of AI solutions.
Partner closely with our Product and Engineering teams to turn ambiguous goals into scalable internal products.
Use AI tooling throughout your workflow (coding, code review, testing, and planning) and help push the team’s adoption forward.
Research emerging AI technologies, LLM implementation patterns, and modern product engineering frameworks, and bring what works back to the team.
Instrument what you ship and use usage data and evidence to decide what to build, fix, or kill next.

Requirements

What you’ll need

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 tools such as Claude, Cursor, Codex, OpenAI, Anthropic, or similar AI development platforms.
Practical experience integrating LLMs: prompt engineering, AI agents, generative AI workflows, or RAG architectures.
Strong full-stack fundamentals with proficiency in a modern language such as Python, TypeScript, or JavaScript, and a track record of building and deploying production-grade applications.
Product instinct: you ask who the user is and what they actually need before writing code, and you push back on solutions that miss the point.
A bias toward shipping and learning over endless planning, balanced with the judgment to know when something needs more care.
Genuine enthusiasm for using AI to work better and faster, and the discernment to know where it helps and where it does not.
Clear written and verbal communication. You can explain a tradeoff to an engineer and the same tradeoff to a non-engineer.
Comfort with ambiguity and a track record of owning outcomes, not just tasks.

Benefits

Comp & perks

Health insurance
401(k) matching
Paid time off
Remote work options