About this role
What you will do
- Create reusable components and libraries (Python + n8n) for the Business Feature Team, leveraging existing workflows and agents to accelerate future development.
- Perform maintenance (TMA) on existing workflows and agents , focusing on resolving issues and improving performance.
- Partner directly with non-technical stakeholders , sit with operations teams, understand their pain points, translate workflows into agentic solutions, and explain your design choices.
- Collaborate with the team on Python development , contributing to the production codebase by applying software engineering principles (unit tests, CI/CD, Git, code review) and helping implement AIOps/AgentOps best practices.
About you
- Currently pursuing a degree in Computer Science, Data Science, or similar technical fields.
- Experience with Python, and using Git for collaboration. You are comfortable working in group projects and collaborating within a team, with a strong desire to learn AIOps/MLOps best practices in a professional environment.
- Proven experience building production-ready agent workflows with Google ADK (strongly preferred), Langchain, or LangGraph.
- Practical experience with cloud platforms ( Vertex AI , Kubernetes or equivalents) for deploying scalable GenAI services.
- You can sit down with a non-technical stakeholder, draw out their workflow, and come back with a working agent.
- Versatile, autonomous, and proactive, you love taking initiatives and driving your projects, with a strong desire to grow while being mentored by our solid team of developers and product managers.
- Fluent technical English (written and verbal) mandatory.
Practical
- Status: Internship
- Location: Paris
- Working language: English