Principal Engineer

Why This Role Exists

We operate a multi-tenant automotive SaaS platform serving thousands of dealer groups across the United States. Our backend — event-driven serverless on AWS (Lambda, EventBridge, DynamoDB, S3, Step Functions) — orchestrates everything from dealer onboarding to inventory management to real-time transaction processing. That platform works. Now we need to make it think.

Scope & Scale

• 5000+ destination dealer tenants, each with isolated databases and per-tenant configuration
• Billions in annual Gross Merchandise Value (GMV) flowing through platform transactions
• Tens of thousands of API requests per minute across REST, SOAP, and event-driven integration surfaces
• Data pipelines spanning 6 integration domains with multi-protocol vendor connectivity

What You Will Own

• 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. You are not advising on AI strategy; you are writing the agent code, defining the tool interfaces, building the evaluation harnesses, and shipping production AI workflows
• AI agent lifecycle end to end — from prompt engineering and tool-use design through guardrails, evaluation, cost optimization, and production observability. You 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