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Prosus

Senior Backend Engineer, AI Platform (Toqan)

Prosus is hiring a Senior Backend Engineer, AI Platform (Toqan) in Amsterdam, Netherlands. Level rates it ; you can apply on Prosus.

Level's read on this job

  • Level rates this software engineer role Builds AI ●●●●: the job is building AI systems.
  • Tools and skills the posting cites include OpenAI, Claude and Copilot.
  • Level classifies it as a senior role.
  • Level lists 10 other open roles at Prosus.
  • The role was posted within the past two weeks.

AI in this role

Build secure, configurable agent runtimes and backend infrastructure for Prosus's internal AI platform, Toqan.

openaiclaudecopilotcursorclaude-codecodex
llm-integrationai-agentsbackenddistributed-systemsai-platformagent-runtimes

Who We Are

You've ordered dinner through Just Eat Takeaway. You've bought and sold on OLX. You've paid with PayU. Chances are, you've already used a Prosus company today.

We are Prosus, a global technology company powering some of the world's leading lifestyle ecommerce businesses. Every day, billions of people across India, Latin America, Europe and beyond use our products and services to buy, sell, pay, connect and discover.

Our AI-driven ecosystem spans 100+ companies across ecommerce, food delivery, fintech and experiences, serving billions of consumers worldwide. AI powers how we operate and innovate, with more than 60,000 active AI agents helping our teams build, scale and move faster. Through our investment team, we also back the founders and technologies shaping the future: From robotics and autonomous systems to synthetic biology and frontier AI.

Guided by our five values Innovation, Results, People, Impact, and Entrepreneurship, culture is our competitive advantage. We thrive with experimentation; we build, we test, we learn, we iterate.

Join us in shaping the future of technology at global scale.

The Opportunity

Toqan is Prosus's internal AI platform — the infrastructure and tooling layer that powers agentic AI-driven products across the entire group.We are building secure, configurable agent runtimes that can operate reliably at scale across different products, channels and use cases..  

You’ll work where distributed systems meet applied AI: orchestrating models and tools, enabling agents to perform long-running work, and turning rapidly evolving AI capabilities into dependable platform primitives. The challenges span asynchronous workflows, isolated execution, extensible integrations, reliability, observability and cost control.

The Toqan platform serves the whole Prosus portfolio and other connected businesses, which means the backend systems you build here have reach far beyond a single team. You'll join a 12-person engineering team in Amsterdam and work closely with product, platform and AI colleagues to ship end-to-end — at pace, without compromising quality.

Who You Are

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

Your Typical Day

No two days look exactly the same. You might design a new capability for the agent runtime, improve how models and tools are orchestrated, investigate a production reliability issue, or take an integration from an early prototype to a secure, observable service.

You’ll spend much of your time building in Go, reviewing code and making architectural decisions with the team. You’ll also work closely with product, platform and AI colleagues to shape requirements, test ideas and ship them safely. Along the way, you’ll improve the testing, deployment and observability foundations that let the team move quickly with confidence.

What We Offer

  • Global Impact: Play a crucial role in shaping the future of global commerce.

  • Growth Opportunities: Expand your expertise through diverse global challenges and unique opportunities.

  • Innovative Culture: Join a forward-thinking team that values strategic insights and fosters continuous innovation.

  • Creative Environment: Engage in work that encourages creativity and constant improvement.

  • Collaborative Atmosphere: Benefit from autonomy and self-management in a supportive and positive workspace.

  • Hybrid Work: Experience the satisfaction of our flexible model tailored to balance work and life.

  • Competitive Compensation: Enjoy a salary package that reflects your skills and contributions.

  • Comprehensive Benefits: From health and wellness to learning, commuting, and everyday perks, we offer a well-rounded package designed to help you thrive at work and beyond.

Why Prosus?

At Prosus, your colleagues include 60,000 AI agents… and your job is to figure out what that actually means. We're one of the largest operators of agentic AI on the planet, inside a $100B+ portfolio across 100+ companies and two billion people. The humans here own what AI can't do alone: judgment, creativity, and the call on what gets built next.

Own the impact. Work the ecosystem. Earn your growth. Build with backing.

Curious about our perks and benefits? Take a look at this page.

Our Diversity & Inclusion Commitment

We respect the dignity and human rights of individuals and communities wherever we operate in the world. Building an inclusive workplace where everyone feels welcome and can thrive is critical for us. We provide access to education, which helps everyone understand the important role they play and the positive impact they can have.

Want to know more about life at Prosus? Explore our culture and values.

How we rate this

Senior Backend Engineer, AI Platform (Toqan) at Prosus rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

LLM IntegrationAI agentsBackendDistributed SystemsAI PlatformAgent RuntimesOpenAIClaude

Also common in software engineer jobs at this level

Pay

Typical software engineer job
$168k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

  1. How have you integrated a large language model into a production application?
  2. How do you decide when an AI agent can act on its own versus asking for approval first?
  3. Tell me about a project where backend was part of your work. What did you do?
  4. Tell me about a project where distributed systems was part of your work. What did you do?
  5. Tell me about a project where ai platform was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: LLM Integration, AI agents, Backend, Distributed Systems, and AI Platform. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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