Carrot
Healthcare
AppliedAIEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Applied AI Engineer at Carrot. Skills: Applied AI, Data access, AI systems, MCP architecture. Design AI solutions. Build AI solutions”
What You'll Achieve.
Measurable business impact; Improve quality and reliability; Create lasting operational leverage; Reduce delivery time; Maintain high output quality; Compound team velocity
Industry & Context.
Root cause analysis; Troubleshooting; Data-driven decision making
What They're Looking For.
Must Have
5+ years of experience, Experience building MCP servers, Experience building Claude skills, Experience with existing technical constraints
Nice to Have
Experience in healthcare, Experience with event-driven architecture, Knowledge of AI observability, Experience with vector databases, Prior experience in Business Systems, Prior experience in IT engineering, Prior experience in embedded engineering, Experience building Claude plugins, Familiarity with enterprise AI assistant platforms, Familiarity with knowledge management platforms
What You'll Do.
Own delivery end-to-end
Build data access layer
Design MCP architecture
Deploy MCP architecture
Expose structured access
Expose governed access
Build data access layer
Embed with internal teams
Translate data access needs
Translate workflow gaps
Create AI-powered solutions
Discover data access gaps
Discover workflow pain points
Prototype solutions rapidly
Own full delivery lifecycle
Architect agentic AI systems
Build agentic AI systems
Handle business processes
Produce deterministic outcomes
Produce auditable outcomes
Design systems with compliance
Design systems with data governance
Handle HIPAA-compliant data
Implement role-based access
Implement prompt hygiene
Implement evaluation frameworks
Implement observability
Write production-grade code
Choose the right tool
Leverage agentic coding
Maintain output quality
Translate business requirements
Create technical designs
Communicate technical designs
Define success metrics
Instrument success metrics
Feed failure modes back
Lead enablement sessions
Run knowledge-transfer sessions
Develop familiarity with schema
Design reliable queries
Build clean access patterns
Apply design of least complexity
Prefer simple solutions
Prefer maintainable solutions
Prefer documented solutions
Build without dependencies
Tune agent for operations
Build intelligent triage system
How You'll Work.
Team & Collaboration
Embedded with internal teams; Cross-functional teams; Business teams; Product teams; Operations teams; Business Systems teams
Communication Scope
Communicate designs clearly; Present to stakeholders
Process & Methodology
Scoping, Architecture, Deployment, Iteration
Full Job Description
About Carrot: Carrot is the leading global fertility and family care platform, built on intelligent care orchestration: the right clinical guidance, at the right moment, in the context of each member’s life. More than a thousand multinational employers, health plans, and health systems trust Carrot to support millions of members across 195 countries – from pre-pregnancy through menopause and major life moments in between. Carrot's comprehensive clinical program delivers industry-leading cost savings for plan sponsors and award-winning experiences and improved outcomes for millions of people worldwide. Carrot is widely regarded as a defining force in healthcare innovation as a recipient of several top-tier awards, including Fast Company's 'Most Innovative Companies' and CNBC's '100 Barrier Breaking Startups'. The company is regularly cited by leading global outlets — including The Economist, Bloomberg, The Wall Street Journal, NPR, ABC News, and Harvard Business Review — as a leading voice on digital health, the future of work, and family health. Learn more at get-carrot.com. The Opportunity 🚀 Carrot Fertility is hiring an Applied AI Engineer to join our Enterprise Technology team. You will design, build, and ship production-grade AI and integration solutions that give internal teams reliable, structured access to Carrot's core product and operational data. This is a hands-on engineering role — you will own delivery end-to-end: from scoping and architecture through deployment, iteration, and measurable business impact. Your first project will be building the data access layer for Carrot's enterprise AI agent ecosystem — designing and deploying an MCP architecture that exposes structured, governed access to Carrot's core product and operational data. As Carrot's AI capabilities grow more sophisticated, they require deterministic and programmatic access to core operational data: member eligibility, benefit balances, expense records, provider information, employer-spec
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