AI Engineer

• Build and maintain production-grade backend services supporting AI usage metering, reporting, billing integrations, and model availability
• Design and develop data pipelines and event-driven systems processing usage and product data at scale
• Build cloud-native services using C#, AWS, and modern backend architecture patterns
• Develop integrations across AI, product, data, billing, and platform systems
• Write high-quality, well-tested code and participate in code reviews
• Contribute to system design and architecture decisions for backend services, data pipelines, and integrations
• Evaluate technical trade-offs and establish scalable patterns for the AI Growth platform
• Design distributed systems using AWS Lambda, DynamoDB, SQS, and S3
• Translate product and business requirements into scalable technical solutions
• Own reliability and operational health of services; investigate and resolve production issues
• Monitor system health and improve performance, reliability, and scalability
• Build systems with production support, observability, and maintainability in mind
• Partner with AI Tools, Business Intelligence, Finance, Platform Engineering, and Product teams
• Work with technical and non-technical stakeholders to translate requirements into engineering solutions
• Support engineers through code reviews, pairing, and sharing technical context
• Own work from requirements through implementation, deployment, and ongoing support
• Establish technical practices and processes as the AI Growth team matures

Senior Software Engineer – AI Growth

• Turn ideas, customer problems, and hypotheses into working prototypes, starting with the mobile app
• Build AI-powered experiences using LLMs, AI/ML services, APIs, customer and product data, and modern web and mobile app technologies
• Research, evaluate, and prototype with AI models, services, and capabilities for content and intelligent decisioning, recommendations, personalization, generative content, conversational AI, and voice experiences
• Independently determine the technical approach needed to take loosely defined AI-powered concepts from idea to working, testable POC
• Create realistic customer simulations for internal and external testing
• Explore grounding, guiding, and evaluating AI experiences using customer profile data, customer context, and human-defined guardrails
• Connect prototypes to content libraries, AI SDKs, and staging systems
• Contribute reusable AI and application capabilities to the prototyping platform
• Use AI-native development workflows with Cursor, Claude, Copilot, and similar technologies
• Help define practical guardrails for safe, reliable, and brand-appropriate customer-facing AI experiences

AI Engineer jobs in Utah

Senior Software Engineer – AI Growth

Frontend Engineer, AI Prototyping