Product Engineer (AI Agent Management)

Gravitee•Denver, CO

5d•Hybrid

About The Position

Gravitee is a 2025 Gartner® Magic Quadrant™ Leader, on a mission to govern the world’s intelligence. We deliver the industry’s most advanced platform for Any API, Any Event, and Any AI Agent, trusted by global leaders like Michelin, Roche, and Blue Yonder. The Mission: We are the first to bridge traditional API Management with the new frontier of AI Agent Security. The Momentum: A high-growth Leader - combining market credibility with startup speed. The DNA: We hire people who Hold Nothing Back - passionate builders who want to redefine digital infrastructure. Don’t just watch the AI revolution. Build the infrastructure that controls and secures it. The Role: We're looking for a Product Engineer to help build the core of how enterprises secure, govern, and control AI agents – spanning the Agent Gateway that governs agent-to-agent (A2A) communication, and the LLM control layer that gives enterprises centralized command over every LLM their agents call. You'll work close to customers and close to the code, owning a slice of the Agent Gateway or LLM control roadmap end to end – depending on where your strengths and interests point. This is a role for someone who wants to own outcomes, not just tickets: you'll help decide what gets built, then build it.

Requirements

4+ years of software engineering experience, ideally in a product-facing or full-stack role.
Comfortable talking directly to customers and translating what you hear into a technical plan.
Hands-on experience with AI coding assistants (Cursor, Claude Code, GitHub Copilot or similar) as part of daily work.
Strong fundamentals in API design and distributed systems.
A bias toward shipping and iterating over building the theoretically perfect solution.

Nice To Haves

Familiarity with the A2A protocol or agent-to-agent communication patterns.
Experience with API gateways or API management platforms.
Exposure to LLM-based products or agentic workflows.
Experience integrating multiple LLM providers into a single product surface.
Experience with cost or usage governance for AI and LLM systems.
Familiarity with the Model Context Protocol (MCP) or similar orchestration standards.
Experience working in a fast-moving, ambiguous product environment.
Worked with APIs, cloud-native platforms, AI-enabled systems, or open source.

Responsibilities

Own a meaningful slice of the Agents or LLM control roadmap, from customer conversations through shipping and iterating on the result.
Build features for the Agent Gateway and A2A protocol support, or for multi-LLM routing, cost control, and reliability – depending on your pod – working closely with Product Management and Design.
Use AI-assisted development tools as a core part of your workflow to move faster from idea to shipped feature.
Dig into usage data and customer feedback to help decide what to build next, not just how to build it.
Prototype quickly, test with real users, and be willing to change course when something isn't landing.
Partner with Staff Engineers and other pods where the Agents surface touches LLM control, MCP, or the core API gateway – and vice versa.
Your impact will be visible, measurable, and felt by every enterprise trusting agents with real access to their systems, and every customer routing traffic through Gravitee's LLM control layer.

Benefits

Competitive medical coverage
Pension / 401k program options
Stock options
25 days holiday + in-country national holidays
3 mental health days + wellness allowance
Your birthday off
Professional development budget
Hybrid work culture with hubs across regions
Quarterly team events + annual offsite at an exciting location
A meaningful, progressive, global company culture that is as fun as it is hardworking
Endless growth opportunities