Community Engineer, Toqan (Prosus AI Platform)

Who We Are

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.

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.

About Toqan

Toqan is Prosus’s agentic execution platform, allowing people and businesses to turn ideas into working AI-powered applications. It combines frontier and open-weight models, agents, tools, sandboxes, memory, context management, integrations, and infrastructure into one system for reliably executing complex tasks. Toqan already operates at significant scale across the Prosus ecosystem, and we’re now pushing toward the next generation: more autonomous, more reliable, more cost-efficient, and easier for developers and businesses to build on.

The role

As Community Engineer, Toqan (Prosus AI Platform), you’ll be the technical face of Toqan for the developers and teams building on it across Prosus. You’ll build working examples, integrations, and tooling, write documentation people actually use, and run the feedback loop between the developers building on Toqan and the core engineering team. You’ll also be a public-facing advocate, growing awareness and adoption of Toqan through talks, content, and events.

• Location: Amsterdam
• Employment Type: Full time
• Location Type: Hybrid
• Department: AI & ML

What you will do

• Build and maintain examples, integrations, and tooling that demonstrate practical uses of Toqan.
• Reproduce reported bugs, contribute tested fixes, and improve installation, APIs, and error messages.
• Write clear quickstarts, tutorials, and contribution guides, and keep them accurate as the platform evolves.
• Create and share public technical content such as blog posts, videos, demos, and talks that grow awareness and adoption of Toqan.
• Support developers through issues and community discussions. Follow problems through to resolution and share updates.
• Review pull requests constructively, identify suitable first contributions, and help contributors develop their ideas.
• Establish welcoming community practices, communicate expectations, and handle disagreements with patience and sound judgment.
• Grow the community of builders on Toqan, and represent Toqan at internal and external events and conferences.
• Turn recurring questions and feedback into prioritized improvements, working with the engineering team.
• Support launches with working demos and useful technical content. Run workshops, hackathons, or office hours as community needs emerge.

What you’ll need

• 3+ years of professional software engineering experience. Comfortable reading, writing, and debugging production-quality code. Ideally experienced in Go, Python or TypeScript. Backend or full-stack background both fine.
• Real hands-on experience with agents or LLM-based systems, not just calling an API. You should be able to explain how an agent loop, tool call, or model router actually works.
• Comfortable working with MCP server infrastructure. You don’t need to have architected one from scratch, but you should understand it well enough to build on it and help others use it.
• Some cloud experience (AWS or GCP). Comfortable with the terminal, Git and GitHub workflows, Docker, and diagnosing common setup problems.
• You use AI coding tools (Cursor, Claude Code, Copilot, Codex) daily as part of how you work.
• Proven technical teaching ability: you can write a quickstart another developer can follow, build a runnable example, and explain technical decisions patiently.
• Strong written and verbal communication. This role lives in docs, issues, and PR reviews, and also in talks, workshops, and video. A track record of public technical communication (talks, blogs, videos, or open-source presence) is expected.
• Comfortable being a visible technical point of contact across multiple teams, and turning varied technical input into a prioritized backlog.

Nice to have

• A following or reputation in the AI developer community.
• Experience building example apps, SDKs, or integration templates on top of an agent or LLM platform.
• Exposure to multi-model routing, or working with both frontier and open-weight models.
• Familiarity with sandboxing or isolation concepts (Firecracker, gVisor, containers).
• Experience running workshops, meetups, hackathons, office hours, or onboarding programs for developers.

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.