We are beginning an initiative to move our engineering team from manual processes to an agent-led SDLC. We aren't just looking for someone to "add AI features"—we are looking for a builder to architect an ecosystem where AI agents are pivotal contributors from ticket creation to production deployment. You will be building a multi-agent ecosystem that automates code generation, performs rigorous reviews, executes automated testing, and conducts deep static analysis.

This is a high-autonomy, high-impact role. The ideal candidate believes that the future of engineering is "Human-in-the-Loop" and is passionate about building tools that empower developers to focus on high-level architecture while agents handle the tactical execution. You will be our first hire dedicated to AI-driven developer experience (DX).

How You'll Make a Difference Day to Day

1. Invent & Build: Define the architecture and build the first production versions of our agentic workflows.
2. Own the Loop: Design multi-agent systems that autonomously handle code generation, testing, and review, moving work from "Ticket → PR" with minimal friction.
3. Bridge the Gap: Ground the future of AI in the reality of our current CI/CD pipelines, ensuring agents have the RAG-driven context they need to produce high-quality, secure code.
4. Iterate in Production: This isn't a research role. You will ship tools that our engineers use daily, measuring success through reduced cycle times and decreased cognitive load.

What You'll Bring

1. Systemic Problem Solving: Demonstrated experience building and operating LLM-powered systems (e.g., agentic workflows, RAG pipelines, or production-grade AI tooling).
2. Software Maturity: A background in backend or platform engineering. You understand why code fails, how to secure a pipeline, and how to build for observability.
3. The "Agentic" Mindset: You understand the challenges of non-deterministic systems—managing hallucinations, designing feedback loops, and creating robust evaluation frameworks.
4. Tool Agnostic: You choose the right tool for the job, whether it’s a custom-built state machine or an emerging orchestration framework.

How We Measure Success

1. Velocity Increases: We see a measurable reduction in PR cycle time and "time to first review."
2. Quality Improves: AI-led static analysis and testing loops catch defects before they reach human reviewers.
3. Developer Joy: Our engineers spend less time on boilerplate and more time on high-level architecture.

Compensation & Culture

1. Salary Range: $180,000 – $225,000 USD (Remote).
2. Remote Work: 100% remote with a flexible schedule.
3. Air Cover: You have the full support of leadership to experiment, fail fast, and redefine how we ship software.

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