[Hiring] Applied AI Engineer @Carrot Fertility

Role Description

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.

You will be embedded with internal teams across Operations, Business Systems, and Product — translating data access needs and workflow gaps into AI-powered solutions that create lasting operational leverage.

What You'll Do

• Embed directly with internal business teams to discover data access gaps and workflow pain points, prototype solutions rapidly, and own the full delivery lifecycle from scoping through production deployment.
• Architect and build agentic AI systems that handle complex, multi-step business processes — producing reliable, deterministic, auditable outcomes even in high-stakes or regulated contexts.
• Design systems with compliance and data governance baked in: HIPAA-compliant data handling, role-based access control, prompt hygiene, evaluation frameworks, and observability throughout.
• Write high-quality, production-grade code alongside platform-based integrations.
• Use Claude Code as your primary AI-assisted development environment.
• Translate ambiguous business requirements into clean technical designs and communicate them clearly to both technical and non-technical stakeholders.
• Define and instrument success metrics for each solution: time saved, error rates, SLA improvements, cost reduction, and user satisfaction.
• Feed patterns, failure modes, and reusable frameworks back into a shared internal playbook to compound team velocity over time.
• Lead enablement: run knowledge-transfer sessions and create documentation so business teams can understand, trust, and extend what you build.
• Build and maintain MCP (Model Context Protocol) servers that expose Carrot's core product and operational data to AI tools and agents.
• Develop deep familiarity with Carrot's application database schema.
• Build Claude skills and plugins that business teams and AI agents can use, extend, and maintain.
• Apply a design of least complexity principle to every build.

Example Projects You Might Tackle

• Application data access layer and AI agent enablement: Design and deploy a suite of MCP servers that expose structured, governed access to Carrot's core product and operational data.
• AI-assisted intake and routing: Build an intelligent triage system that classifies inbound requests, summarizes context, and routes or drafts responses for internal operations and customer care teams.
• Revenue and finance automation: Partner with RevOps and Finance to build automations that reduce manual data work, improve forecast accuracy, and surface insights faster.
• RAG-powered knowledge assistant: Deploy a retrieval-augmented system that surfaces source-of-truth documentation, SOPs, and institutional knowledge.
• Automated KPI dashboards: Instrument and visualize business impact across all active AI solutions.

Qualifications

• 6–10 years of software engineering experience with strong fundamentals in data structures, system design, SQL, and application integration.
• Proven track record of shipping production software.
• Highly proficient with Claude Code.
• Hands-on experience building and deploying agentic AI systems.
• Programming fluency in Python and TypeScript/JavaScript; comfort with Ruby a plus.
• Experience with Workato or a similar iPaas platform.
• Background in enterprise applications such as Salesforce or NetSuite.
• Strong command of SQL and data modeling.
• Fluency with REST APIs, OAuth2, webhooks, pagination, rate limiting, and error handling.
• Strong instincts for security, data privacy, and compliance.
• Exceptional communication skills.
• Comfort with ambiguity and a bias toward action.
• Ability to develop working familiarity with an existing application codebase and database schema.
• Experience building MCP servers or equivalent tool/API integration layers for AI systems.
• Commitment to designing for maintainability and least complexity.

Nice to Have

• Experience in healthcare, health tech, or other regulated environments.
• Experience with event-driven architecture, message queues, or stream processing.
• Knowledge of AI observability and evaluation frameworks.
• Experience with vector databases, semantic search, or embedding pipelines.
• Prior experience in a Business Systems, IT engineering, or embedded engineering context.
• Experience building Claude skills, plugins, or custom prompt libraries for internal business use.
• Familiarity with enterprise AI assistant or knowledge management platforms.

Compensation

Carrot offers a holistic Total Rewards package designed to support our employees in all aspects of their life inside and outside of work, including health and wellness benefits, retirement savings plans, short- and long-term incentives, parental leave, family-forming assistance, and a competitive compensation package. The starting base salary for this position will range from $165,000.00 - $200,000.00.

Fraud and Security Notice

Please note that all communication regarding job opportunities at Carrot will come exclusively from an @get-carrot.com email address. If you receive messages from any other domain, please disregard them and report the incident to: [email protected].