Product Engineer: AI Agent Security & Governance

Gravitee; England; Hybrid; GBP 85,000 - 125,000; Full time

Benefits offered by this job

Stock options - you build it, you own

Hybrid work culture

Competitive medical coverage

Pension / 401k options

25 days holiday

Job summary

Gravitee is hiring 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 communication and the LLM control layer that centralizes command over every LLM their agents call.

You’ll own a slice of the roadmap end to end, decide what gets built, and ship features after close collaboration with Product Management and Design.

Qualifications

• 4+ years of software engineering experience 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 as part of daily work.

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.
• 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.

Skills

Software engineering

Customer-facing

AI coding tools

API design

Distributed systems

Tools

Cursor

Claude Code

GitHub Copilot

Job description

Gravitee is hiring 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 communication and the LLM control layer that centralizes command over every LLM their agents call.

You’ll own a slice of the roadmap end to end, decide what gets built, and ship features after close collaboration with Product Management and Design.