Senior Backend Engineer, AI Platform (Toqan)

Slashhash; Amsterdam; On-site; EUR 100,000 - 140,000; Full time

Job summary

Prosus in Amsterdam is seeking a Senior Backend Engineer to build secure, configurable agent runtimes and distributed systems powering agentic AI products across the group. You will design capabilities for the agent runtime, orchestrate models and tools, and ensure reliable, observable services with Go at the core.

Applicants should bring strong Go, AWS, and LLM integration experience, and collaborate with product and AI colleagues to shape requirements and ship safe, scalable solutions.

Qualifications

• Must have Go, AWS, LLMs, AI models, tool-calling systems, agentic architectures, MCP, A2A, CI/CD, automated testing, production observability, AI coding tools, Claude Code, Cursor, GitHub Copilot.

Responsibilities

• Design a new capability for the agent runtime.
• Improve how models and tools are orchestrated.
• Investigate production reliability issues.
• Take an integration from early prototype to a secure, observable service.
• Build in Go.
• Review code and make architectural decisions with the team.
• Work closely with product, platform and AI colleagues to shape requirements, test ideas and ship them safely.
• Improve testing, deployment and observability foundations.

Skills

systems thinking

low ego

autonomy

accountability

curiosity

collaboration

adaptability

Tools

Go

AWS

LLMs

AI models

tool-calling systems

agentic architectures

MCP

A2A

CI/CD

automated testing

production observability

AI coding tools

Claude Code

Cursor

GitHub Copilot

Job description

Prosus is seeking a Senior Backend Engineer for its internal AI platform, Toqan, in Amsterdam. The role involves building secure, configurable agent runtimes and distributed systems that power agentic AI products across the group. Requires strong Go, AWS, and LLM integration experience.

Technical (Must-have)

• Go
• AWS
• LLMs
• AI models
• tool-calling systems
• agentic architectures
• MCP
• A2A
• CI/CD
• automated testing
• production observability
• AI coding tools
• Claude Code
• Cursor
• GitHub Copilot

Soft Skills

• systems thinking
• low ego
• autonomy
• accountability
• curiosity
• collaboration
• adaptability

Technical (Nice-to-have)

• agentic AI systems
• event-sourced systems
• Python
• AI infrastructure
• ML infrastructure
• developer productivity tooling

Key Responsibilities

• Design a new capability for the agent runtime
• Improve how models and tools are orchestrated
• Investigate production reliability issues
• Take an integration from early prototype to a secure, observable service
• Build in Go
• Review code and make architectural decisions with the team
• Work closely with product, platform and AI colleagues to shape requirements, test ideas and ship them safely
• Improve testing, deployment and observability foundations

Go, AWS, LLMs, AI models, tool-calling systems, agentic architectures, MCP, A2A, CI/CD, automated testing, production observability, AI coding tools, Claude Code, Cursor, GitHub Copilot