Senior Engineer, AI/ML
About The Position
We operate a multi-tenant automotive SaaS platform serving thousands of dealer groups across the United States, running on a native AWS (NAWS) backend: Lambda, EventBridge, DynamoDB, S3, Step Functions. That platform works. Now we are making it think: production agentic AI systems built code-first and deployed on AWS Bedrock AgentCore, connected to real systems, making decisions and executing workflows against real dealer data and real money. This is a hands-on builder role. Expect the large majority of your time in code. But we are not hiring a pair of hands. Every agent you ship makes decisions that touch dealer revenue, so we need an engineer who understands the business problem before writing the technical solution: someone who asks what a workflow is worth, weighs build cost against dealer impact, and knows when the right answer is a simpler tool, or no agent at all. Tech environment: Strands Agents SDK on AWS Bedrock AgentCore (Runtime, Gateway, Memory, Identity, Observability); MCP servers; Bedrock Guardrails; Anthropic models (Haiku, Sonnet, Opus); NAWS stack (Lambda, EventBridge, DynamoDB, S3, Step Functions, ECS Fargate, Aurora, API Gateway, CDK); Python primary, Java (Spring Boot) secondary. You work within the platform's established architectural patterns, and produce deliverables using agentic frameworks, AWS serverless core, MCP/tool design, and observability without someone looking over your shoulder. Prompt engineering and tool-use design are core engineering disciplines here, not an afterthought.
Requirements
- 5+ years of software engineering experience, including hands-on production experience building LLM agents in a code-first framework. Strands Agents and LangGraph are equally acceptable, as are Google ADK, OpenAI Agents SDK, and comparable frameworks. If you have built and operated real agents in any of them, you will pick up Strands quickly.
- Business-conscious judgment: you start from the problem and its value, not the technology, and you have walked away from a clever solution because a simpler one served the customer better.
- Strong Python; ability to read and contribute to Java (Spring Boot) services.
- Hands-on experience with AWS serverless (Lambda, EventBridge, DynamoDB, Step Functions).
- Experience with prompt engineering, tool/function-calling design, and evaluating LLM output quality in production.
- An appetite for a heads-down building role: you measure your week in shipped code.
Nice To Haves
- Direct experience with Strands Agents and/or AgentCore Runtime (or migrating agent workloads from Lambda/Fargate to a managed agent runtime); LLM-as-judge, agent-to-agent orchestration, and agent governance.
- Direct production experience with MCP (Model Context Protocol) servers.
- Comfort owning production observability (OpenTelemetry, CloudWatch) for the systems you build.
- Automotive, fintech, or multi-tenant marketplace platform experience.
- Familiarity with Bedrock Guardrails, LLM-as-judge evaluation, model cost/latency optimization, and multi-agent orchestration patterns.
- Experience with data pipelines (Glue/Athena) or ETL/data lake tooling.
Responsibilities
- Building production agents in Strands/LangGraph on AgentCore: agent logic, tool orchestration, and multi-agent workflows deployed on AgentCore Runtime with Memory, Identity, and Gateway.
- Tool interfaces: framework-agnostic Python tools, MCP servers, and AgentCore Gateway targets that let agents safely call production APIs.
- Evaluation harnesses: offline/online eval pipelines and LLM-as-judge CI/CD gates that catch regressions before dealers do.
- Guardrails and safe failure: approval gates and rollback paths that determine whether an agent fails safe or fails loud.
- Cost and latency management: per-agent cost tracking and multi-model routing so each workflow earns more than it costs.
- Production observability: AgentCore session tracing, OpenTelemetry, and CloudWatch dashboards for every agent you ship.
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
- Real ownership of a high-stakes AI surface — your roadmap, your architecture decisions, your metrics.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
