[Hiring] Senior Engineer, AI/ML @A2Z Sync

Role Description

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.

What you will own:

• 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.

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.

Scope and scale:

• 5,000+ destination dealer tenants, each with isolated databases and per-tenant configuration.
• Agent workflows that touch production transaction data: real dealer money, not a sandbox.
• Tens of thousands of API requests across REST, SOAP, and event-driven integration surfaces that your agents' tools will call into.
• A growing portfolio of production agents, each with its own cost, latency, and evaluation budget.

Your first 6 months:

• Month 1: Ramp on the platform architecture, existing agents, and integration surfaces, and on the dealer workflows behind them, so you know what the agents are for, not just how they run. Ship your first tool integration (MCP server or Gateway target) to production.
• Months 2-3: Own end-to-end agent workflows, from design through production on AgentCore: Strands agent logic, tool interfaces, evaluation harness with CI gates, and guardrails.
• Months 4+: Running autonomously: shipping new agents and tools with minimal oversight, with observability and cost tracking in place for everything you own.

Qualifications

• 5+ years of software engineering experience, including hands-on production experience building LLM agents in a code-first framework.
• Business-conscious judgment: you start from the problem and its value, not the technology.
• 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.

Requirements

• 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.

Benefits

• A2Z Sync offers 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.
• The expected salary range for this role is $160,000 to $190,000 annually, commensurate with experience and qualifications.