Principal Engineer, Agentic AI

Role overview Set technical direction for the core platform of a customer engagement and operations product used by automotive repair businesses. You’ll shape data processing, reusable services, and AI-enabled workflows, leading work from product goals through architecture and delivery.

Responsibilities - Improve how platform data is ingested and processed to support customer automation. - Design reusable full-stack components and services that can scale as usage grows. - Balance infrastructure improvements with integrations as business needs change. - Work with product partners to connect technical choices to customer problems. - Raise standards for security, testing, maintainability, and code review. - Guide CI/CD, containerization, infrastructure practices, and systems that support autonomous AI workflows.

Requirements - 7+ years building complex web-based SaaS products. - Practical experience with LLMs, prompt engineering, and AI-powered product features. - Experience deploying AI features and agentic workflows in production environments. - Experience adding AI tools to CI/CD, such as automated reviews, AI-assisted testing, or workflow orchestration. - Proficiency with relational and NoSQL databases, including schema design and query optimization. - Strong communication skills, with the ability to translate technical decisions into product outcomes and work with leadership.

Nice to have - Familiarity with .NET, Node.js with TypeScript, and React. - Infrastructure as Code experience, such as Terraform or CloudFormation. - Experience as a founding engineer or in an early-stage company. - Experience with AI tool integrations, prompt chaining, tool use, or MCP.

Benefits and work setup The role is fully remote within the US. Benefits include equity options, employer-paid medical insurance, flexible paid time off with a 15-day minimum, FSA and HSA options, a 401(k), a learning stipend, and home-office equipment.