Role OverviewWe are building agentic AI systems: autonomous, tool-using agents that observe platform state, reason over dealer context, take action through production APIs, and learn from outcomes. This Principal Engineer owns the entire surface, writing agent code, defining tool interfaces, building evaluation harnesses, and shipping production AI workflows.
What You Will Do
Ownership and core development of agentic AI systems, designing, building, and operating the AI agent infrastructure (AWS Bedrock, MCP servers) that powers intelligent automation across the platform.
Why It Might Be a Fit
You will own the patterns the team uses to build with AI, how agents connect to production systems, how we evaluate output quality, how we manage model costs at scale, and how we roll back when an agent misbehaves.
Requirements
- 8+ years of software engineering experience
- at least 3 years in a Staff / Principal / Architect role
- Deep hands-on experience with AWS serverless and traditional service architectures
- Experience spending 10-20% of your time in mentoring, cross-team alignment, and operating mechanisms
- Track record of leading monolith-to-services migrations
- Fluency across multiple languages
- Experience with event-driven architectures, configuration-driven workflow engines, and DynamoDB single-table design
- Strong opinions on observability and the discipline to instrument before you migrate
Benefits
- Comprehensive medical, dental, and vision benefits
- Employer provided STD/LTD and life insurance
- Matching 401k plan
- Unlimited paid time off, including 10 paid holidays
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