The RoleWe'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.
What You'll Be DoingAt Gravitee, impact isn't abstract, it's visible. In this role, you will:
- 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.
Essential Skills- 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.
Desired Skills- 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.
Who Thrives at GraviteeAt Gravitee, our growth is powered by people who bring passion to what they build, act with professionalism in how they work, and hold nothing back in their commitment to doing things well.
You'll do well here if you:
- Care deeply about quality, clarity, and impact
- Are curious, adaptable, and excited by emerging technologies like AI
- Take ownership and follow through
- Value collaboration, openness, and continuous improvement
Bonus points if you've worked with APIs, cloud-native platforms, AI-enabled systems, or open source, but curiosity matters most.
Life at GraviteeAt Gravitee, we invest in
humans, not just roles.
You'll get:
- Competitive medical coverage
- Pension / 401k program options
- Stock options - you build it, you own it
- 25 days holiday + in-country national holidays
- 3 mental health days + wellness allowance
- Your birthday off 🎉
- Professional development budget to fuel your growth
- 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
Salary: Up to $188,000 (Base + Variable)
Department Engineering Locations Denver Remote status Hybrid
