AdTechTalent
Engineering15 days agoOn-site

Equativ

AI Engineer Intern, GenAI Internal Automation (GAIA)

pythonn8ngitgoogle adklangchainlanggraphvertex aikubernetesaiopsmlopsagentopsgenaiinternshipengineeringcloudproduction

Key details

Salary

Not specified

Employment type

Internship

Seniority

Entry

Years experience

0-2

Location

Paris, France

Full job description

Join Equativ's GenAI Business Feature Team in Paris as an intern. The team develops mission-critical AI agents automating workflows for non-technical internal teams. Responsibilities include creating reusable Python and n8n components, maintaining existing workflows, collaborating with non-technical stakeholders, and contributing to Python codebase with best practices like unit testing, CI/CD, and code review. Requirements: pursuing a degree in Computer Science or related field, experience with Python and Git, ability to build production-ready agent workflows using Google ADK (preferred), Langchain, or LangGraph, practical cloud platform experience (Vertex AI, Kubernetes), strong communication skills in English, and proactive attitude. This is an internship position based in Paris.

What you'll do

  • Create reusable components and libraries (Python + n8n) for the Business Feature Team to accelerate future development
  • Perform maintenance (TMA) on existing workflows and agents focusing on issue resolution and performance improvement
  • Partner directly with non-technical stakeholders to understand pain points, translate workflows into agentic solutions, and explain design choices
  • Collaborate with the team on Python development applying software engineering principles (unit tests, CI/CD, Git, code review)
  • Help implement AIOps/AgentOps best practices

Requirements

  • Currently pursuing a degree in Computer Science, Data Science, or similar technical fields
  • Experience with Python and using Git for collaboration
  • Comfortable working in group projects and collaborating within a team
  • 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
  • Ability to translate non-technical stakeholder workflows into working agents
  • Versatile, autonomous, proactive with initiative-taking and project ownership
  • Fluent technical English (written and verbal) mandatory

Tech stack

Pythonn8nGitGoogle ADKLangchainLangGraphVertex AIKubernetesAIOpsMLOpsAgentOps

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