> Markdown version of [/jobs/ext/4696629-senior-backend-engineer-ai-platform-toqan](https://www.wearedevelopers.com/jobs/ext/4696629-senior-backend-engineer-ai-platform-toqan). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Backend Engineer, AI Platform (Toqan) - **Company:** Prosus - **Location:** Amsterdam, Netherlands - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Automation of Tests, Computer Programming, Continuous Integration, Cursor, Python (Programming Language), Machine Learning, Systems Integration, GitHub Copilot, Large Language Models, Claude Code, AI Coding Agents, Backend, Agentic-AI, AI Platforms, Machine Learning Operations, OpenAI Codex, Serverless Computing, Agent2Agent Protocol - **Published:** November 13, 2026 - **Apply:** https://www.adzuna.nl/details/5963500306 ## About the Role You are a senior backend engineer who has moved well past following patterns and into setting them. You're comfortable owning architectural decisions on novel infrastructure - the kind where the right answer isn't obvious and the stakes are real. You think in systems, spot failure modes early, and hold a high bar for production quality without letting perfect block good. The 80/20 mindset comes naturally: you know when to go deep and when to ship. You've likely come from a startup or high-velocity environment where shipping fast wasn't a culture slogan - it was survival. You know how to cut scope without cutting corners, move from zero to production without a safety net, and iterate quickly on systems that are still finding their shape. You're genuinely curious about the AI and LLM space - not as a trend to track, but as a domain where you've already done hands-on integration work and want to go further. AI tools aren't an afterthought in how you work - you use them daily, whether that's Claude Code, Cursor, GitHub Copilot, or OpenAI Codex, and you've developed real judgment about where they accelerate work and where they don't. You operate with low ego, share context freely, and thrive in an environment where autonomy and accountability go hand in hand. Ambiguity doesn't slow you down - it's where you do your best work. What You Bring * Strong Go programming skills with a track record of building and operating production backend services * Hands-on AWS experience - designing, deploying, and operating cloud-native services at scale * Experience integrating LLMs, AI models or tool-calling systems into production applications * Familiarity with agentic architectures and protocols such as MCP, A2A * A systems mindset, with attention to reliability, scalability, performance and security * Experience with CI/CD, automated testing and production observability * A record of working across product and platform teams to deliver outcomes end-to-end * Regular, thoughtful use of AI coding tools as part of your development workflow Nice to haves * Hands-on experience building agentic AI systems that use tools and execute multi-step workflows * Experience building or maintaining event-sourced systems * Python programming skills * Experience with AI or ML infrastructure and developer productivity tooling