# AI Engineering Lead/Manager **Company**: Cricut **Location**: South Jordan, UT **Work arrangement**: hybrid **Experience**: senior **Job type**: full-time **Category**: Engineering **Industry**: Technology **Apply**: https://jobs.smartrecruiters.com/Cricut/744000153008289-ai-engineering-lead-manager?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_763a4e10-12f ## Description Cricut is seeking an experienced AI Engineering Lead/Manager to lead a team that builds and ships AI-powered features across client-facing applications. You will bring hands-on experience integrating AI capabilities, such as AI image generation, agentic actions, and Model Context Protocol (MCP) integrations, into production software used by customers. This role blends technical leadership, hands-on engineering, and strong business sense: you will partner closely with Product Management to define features and shape the roadmap, then lead your team in turning that vision into reliable, delightful experiences. **Responsibilities** - Lead and grow a team of engineers building AI-powered features into client applications, setting technical direction and a high bar for quality. - Partner closely with Product Management to define AI features and shape the product roadmap, balancing customer value, business impact, technical feasibility, and cost. - Architect and deliver end-to-end integrations of AI capabilities into client-facing software (e.g., AI image generation, agentic actions and workflows, and MCP-based tool and data integrations). - Stay hands-on: write, review, and ship production code, and help your team work through the hardest technical problems. - Evaluate models, vendors, and APIs (hosted and open-source), making pragmatic build-vs-buy recommendations based on quality, latency, cost, and reliability. - Establish practices for evaluating and monitoring AI features, including evals, quality metrics, guardrails, and user feedback loops. - Build AI experiences that are safe and trustworthy, addressing content safety, privacy, prompt injection, and responsible AI considerations. - Collaborate with UX on intuitive interaction patterns for AI features, including handling latency, uncertainty, and failures gracefully. - Work with data and ML partners to understand model training, fine-tuning, and data pipelines, and translate those capabilities into product opportunities. - Ship behind feature flags with progressive rollout and kill-switches, validating new behavior with production telemetry before ramping. - Own the health of AI features through telemetry by tracking adoption, output quality, latency, cost per request, and defect trends. - Champion agentic coding tools in your team's daily workflow (AI-assisted code review, automated test generation) while maintaining code quality, security, and human oversight. - Mentor engineers, lead effective code reviews, and foster a culture of learning and experimentation. - Stay current on the rapidly evolving AI landscape and recommend adoption where it would meaningfully improve our products or team. **Qualifications** - Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. - 5+ years of hands-on, professional software development experience in one or more of: Angular, Kotlin, Swift, C#, or Python. - 2+ years of experience as a technical lead or engineering manager, leading engineers to deliver customer-facing software. - Proven experience integrating AI-based features into client-facing production software, such as AI image generation, agentic actions, LLM-powered experiences, or MCP (Model Context Protocol) integrations. - Practical experience with AI/LLM APIs and SDKs (e.g., OpenAI, Anthropic, Google Gemini, Stability AI, or open-source models), including prompt design, tool/function calling, and structured outputs. - Solid understanding of production AI tradeoffs, including latency, cost, reliability, evaluation, and safety. - Strong business sense, with a track record of partnering with Product to define features, prioritize a roadmap, and measure outcomes. - Experience designing and consuming REST APIs and integrating client applications with backend services. - Experience with automated testing (unit, integration, end-to-end) and CI/CD pipelines. - Experience instrumenting applications with telemetry/observability tools (e.g., Datadog, Firebase, or platform-native logging). - Hands-on, pragmatic use of modern AI engineering tools (Claude Code, Cursor, Copilot, etc.). **Benefits** - Competitive Medical, Dental, and Vision coverage - 401(k) match - Generous PTO - Tuition reimbursement - Yearly lifestyle stipend - Exclusive employee discounts ## Skills ### Required - Angular - Kotlin - Swift - C# - Python - AI image generation - agentic actions - Model Context Protocol (MCP) integrations - AI/LLM APIs and SDKs - REST APIs - automated testing - CI/CD pipelines - telemetry/observability tools ### Nice to have - machine learning concepts - retrieval-augmented generation (RAG) - embeddings - vector databases - computer vision - creative or design-focused applications --- Source: [Apply at jobs.smartrecruiters.com](https://jobs.smartrecruiters.com/Cricut/744000153008289-ai-engineering-lead-manager?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)