AI Engineer

eMAX Health Systems; New York (NY); On-site; USD 170,000 - 210,000; Full time

Job summary

eMAX Health Systems is seeking a senior engineer to architect an AI-driven developer experience by building a multi-agent ecosystem. You will lead the design of agentic workflows that autonomously generate code, review, test, and analyze with rigorous static checks.

This is a high-autonomy role focused on turning ideas into production-ready tooling that reduces cycle times and supports engineers in focusing on architectural decisions.

Qualifications

• Demonstrated experience building and operating LLM-powered systems (agentic workflows, RAG pipelines, or production-grade AI tooling).
• Back-end or platform engineering background with an eye for secure, observable pipelines.
• Experience handling non-deterministic systems, feedback loops, and evaluation frameworks.

Responsibilities

• Define architecture and build first production versions of agentic workflows.
• Design multi-agent systems that autonomously handle code generation, testing, and review.
• Ground AI in CI/CD pipelines, providing RAG-driven context for high-quality code.
• Ship tools that engineers use daily, reducing cycle times and cognitive load.

Skills

LLM-powered systems

Backend engineering

Observability

Agentic mindset

Tools

State machine

Orchestration framework

RAG pipelines

AI tooling

Job description

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

• Invent & Build: Define the architecture and build the first production versions of our agentic workflows.
• Own the Loop: Design multi-agent systems that autonomously handle code generation, testing, and review, moving work from "Ticket → PR" with minimal friction.
• 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.
• 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

• Systemic Problem Solving: Demonstrated experience building and operating LLM-powered systems (e.g., agentic workflows, RAG pipelines, or production-grade AI tooling).
• 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.
• The "Agentic" Mindset: You understand the challenges of non-deterministic systems—managing hallucinations, designing feedback loops, and creating robust evaluation frameworks.
• 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

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