Generative AI Engineer Intern, Internal Automation (6 months from February 2027)

Job summary

Responsibilities

The GenAI team is a new, strategic unit (6–8 people) responsible for the design, development, and deployment of Equativ's entire GenAI stack. You will be joining a team of 3 developers and 2 product managers. It is split into two complementary pillars:

• 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…
• 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…

What they're looking for

• 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…
• 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.

Tech stack

• Python
• n8n
• LangChain
• LangGraph
• Kubernetes