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. We 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. These are not chatbots bolted onto a dashboard. They are first-class platform services — backed by AWS Bedrock, connected to production systems via MCP servers — that make decisions, execute workflows, and close loops without human intervention unless guardrails say otherwise. This Principal Engineer owns that entire surface. You are not advising on AI strategy from a whiteboard. You are writing agent code, defining tool interfaces, building evaluation harnesses, setting cost and latency budgets, and shipping production AI workflows that touch real dealers and real money. You set the engineering patterns the team follows, you help make the build-vs-buy calls, and when an agent misbehaves at 2 AM, your architecture is what determines whether it fails safe or fails loud.
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Job Type
Full-time
Career Level
Principal
Education Level
No Education Listed