This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Design, build, and ship production AI agents, RAG pipelines, MCP server integrations, and Fast API services
Work with the Tech Lead and Product Owner, and directly with all business teams across Finance, Sales, HR, and Professional Services
Read, challenge, and refine technical specs before writing code
translate business processes into agentic workflow designs that are testable and auditable
Version and manage prompts and agent configs with the same rigor applied to code
Participate in code reviews on both sides: give structured feedback and receive it
Contribute to AI enablement across the organization through demos, workshops, and knowledge-sharing sessions
Participate in internal hackathons and experiment with emerging AI models, architectures, and design patterns
Requirements
2+ years of hands-on experience building AI/LLM-based systems, with shipped systems and real artefacts to show
Strong expertise in Retrieval-Augmented Generation (RAG) systems, with a focus on building reliable and high-performing knowledge-driven AI solutions
Strong expertise in designing and deploying scalable LLM-powered solutions, with a focus on building robust, production-ready generative AI systems aligned with business needs
Strong knowledge of agentic design patterns and architectures, including multi-agent collaboration strategies, tool integration, and production-ready agent-based solutions
Expertise in implementing observability strategies for AI applications, including monitoring system performance, tracking agent workflows, and analysing quality metrics
Proficiency in AI-assisted and agentic coding practices, using tools such as GitHub Copilot and Claude as daily productivity multipliers
Experience developing scalable AI-powered applications combining software engineering best practices, cloud technologies, and production-ready system design
Nice to have
LLM fine-tuning experience
Self-hosted LLM experience (Ollama, Qwen, or similar)
What we offer
A human-scale team with a big team spirit driven by impact
Real strategic challenges at enterprise scale: systems that hundreds of colleagues depend on
Tooling that rivals top-tier tech companies: Claude Cowork, Claude Code, GitHub Copilot, and Azure AI Foundry from week one, for everyone on the team
Based in Tunis, working globally — daily collaboration with colleagues in the Nordics, France, the UK, and the US
A clear, fast growth path — responsibility comes as soon as you are ready for it, and we are transparent about what that looks like
Direct involvement in architecture and strategy discussions — you are not a ticket executor
your opinions on what we build and how we build it are expected