AI Engineer Intern, GenAI Internal Automation (GAIA)

Equativ
Paris
Workplace: OnsiteInternshipFunction: Data Science & Machine LearningSkills: ["Collaboration","Communication","Problem-solving","Initiative","Adaptability"]

Join the GenAI team to build and maintain production-grade agent workflows that automate internal business tasks for non-technical teams. You’ll create reusable Python components and libraries (Python + n8n), perform maintenance on existing agents, and translate stakeholder workflows into agentic solutions. Work with a small team of developers and product managers, contributing to a production codebase with unit tests, CI/CD, Git, and code reviews while exploring AIOps/AgentOps best practices.

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Equativ
Equativ
2 months ago

AI Engineer Intern, GenAI Internal Automation (GAIA)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 23 hours agoStatus: Closed

Job Summary

Join the GenAI team to build and maintain production-grade agent workflows that automate internal business tasks for non-technical teams. You’ll create reusable Python components and libraries (Python + n8n), perform maintenance on existing agents, and translate stakeholder workflows into agentic solutions. Work with a small team of developers and product managers, contributing to a production codebase with unit tests, CI/CD, Git, and code reviews while exploring AIOps/AgentOps best practices.
Location: Paris
Workplace: Onsite
Employment Type: Internship
Job Function: Data Science & Machine Learning
Seniority: Intern level

Key Responsibilities

  • •Create reusable Python (Python + n8n) components and libraries for the Business Feature Team to accelerate future development.
  • •Perform maintenance (TMA) on existing workflows and agents, resolving issues and improving performance.
  • •Partner with non-technical stakeholders to translate workflows into agentic solutions and explain design choices.
  • •Collaborate with the team on Python development, contributing to the production codebase with software engineering practices.
  • •Help implement AIOps/AgentOps best practices in the agent development process.

Key Requirements

  • •Currently pursuing a degree in Computer Science, Data Science, or a similar technical field.
  • •Experience with Python and using Git for collaboration, including comfort working in group projects.
  • •Proven experience building production-ready agent workflows with Google ADK (strongly preferred), Langchain, or LangGraph.
  • •Practical experience with cloud platforms such as Vertex AI and Kubernetes (or equivalents) for deploying GenAI services.
  • •Fluent technical English (written and verbal) mandatory.
Experience:GenAIAIOpsMLOps
Education:
Skills:CollaborationCommunicationProblem-solvingInitiativeAdaptability
Languages:English
Tech Stack:PythonN8nGitUnit testsCI/CDGoogle ADKLangchainLangGraphVertex AIKubernetes

Company Brief

Equativ
Provides a unified adtech platform for publishers and advertisers, offering ad serving, SSP/DSP capabilities, header bidding, monetization, and analytics to optimize digital advertising across formats and channels.
Industry: Enterprise Software
Company Size: Large (251 to 1,000 employees)
Growth: Established Company
Headquarters: Paris, France
Founded: 2001
WebsiteLinkedIn