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AI Tooling Engineer
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Rockville, MD (In Person)
Full-Time
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Job Description
AI Tooling Engineer
Senior Software Engineer — Engineering Platform (AI-Augmented SDLC)
Overview
Builds platforms, tooling, and automation that augments our SDLC — production services, CI/CD integrations, testing infrastructure, and observability — increasingly augmented by AI agents and LLMs. We're looking for a strong full-stack engineer first, who is also fluent with modern AI tooling.
What We're Looking For
You are a strong full-stack engineer who ships end-to-end — design, tests, CI/CD pipeline, deploy, and production monitoring — and treats every stage as first-class craft rather than overhead. You have clear technical taste, articulate trade-offs well, and know when to reach for an AI agent versus a simpler tool.
You use modern AI development tools fluently in your daily workflow and have a grounded point of view on w they help and w they don't. You iterate based on real usage data and telemetry, not intuition alone.
Key Responsibilities
Platforms & Tooling
- Builds and operates CI/CD pipelines and integrations
- Build "Golden Path" scaffolding with standards, security, and quality gates built in
- Build & Maintain a governed catalog (Agents, MCPs, Skills) with behavior, permission, and access controls
- Build AI agents, LLM-powered tooling, and the frameworks and SDKs that accelerate them
- Build integrations that give humans and AI agents deep context on our systems Quality, Testing & Reliability
- Own testing strategy across the platform: unit, integration, contract, and end-to-end
- mutation, property-based, or fuzz testing w it pays off
- Define SLOs for platform services and AI tooling Observability & Performance Analytics
- Design metrics, logs, traces, and dashboards for productivity, adoption, and service health
- Build alerting and anomaly detection to catch regressions early
- Analyze telemetry to guide investment decisions Collaboration & Impact
- Partner across teams to drive adoption of platform tooling and AI-augmented workflows
- Stay current with LLM and platform-engineering trends and coach colleagues on w they apply
- Rapidly prototype solutions to validate use cases
- Communicate insights to stakeholders Required Qualifications
- 5-7+ years building and operating production software systems
- Full-stack proficiency across Java, Python, and TypeScript/JavaScript, with frameworks like Spring Boot and Angular
- Deep CI/CD experience — Jenkins, GitLab, or equivalent; comfortable with IaC
- Testing discipline — TDD, test pyramid design, integration and contract testing
- AWS fundamentals — ECS, EC2, Fargate, Lambda, API Gateway
- Observability — metrics, logs, traces; CloudWatch or Splunk
- Daily use of AI coding tools — Claude Code, Kiro, Codex, or equivalent, with a clear point of view on their limits Nice to Have
- Building internal developer platforms, SDKs, or CLIs at scale
- LLM orchestration in production — MCP servers, agents, tool calling
- Advanced testing (mutation, property-based) or driving platform adoption across teams #LI-MG1