Location
Hybrid (Paris, France)
Seniority
Intern
Employment
Internship

Removed from the employer's board on Nov 3, 2026. First seen by Alion on May 29, 2026. Malt scores C on the Alion truth index.

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Malt is a freelance marketplace headquartered in Paris, France, and founded in 2013. The platform matches independent consultants, developers, designers, and data specialists with companies, and handles contracting, insurance, and payment on both sides of the engagement. It is one of the largest freelancing platforms in Europe, operating in France, Germany, Spain, Belgium, the Netherlands, and the Nordics after merging with the German marketplace Comatch.

Explore your future career

We're looking for an AI & Automation Engineer Intern to join Malt's Data Platform team for 6 months starting January 2027.

You will work directly with Léo Martin, our Lead AI Deployment Engineer, as part of Malt's AI transformation.

You will contribute to three major production workstreams: Malt Mind (our internal AI-agent platform), n8n & Automation (extending our workflow automation platform), and AI Academy Builders (enabling internal AI Builders to ship their own automations autonomously).

Key responsibilities

  • Support the execution of Malt's AI internal roadmap for H1 2027; contribute to building our internal Agentic Stack, n8n workflows integrating Salesforce, Zendesk, BigQuery, and Slack.
  • Build adoption dashboards to track agent usage and iterate on Knowledge Base segmentation to reduce hallucinations.
  • Contribute to designing and building an evaluations for our internal AI agents (accuracy, hallucination rate, knowledge base coverage).
  • Implement reliability patterns on the automation platform and document architecture patterns with guidance from the team.
  • Support the AI Academy program to support our AI Champions & Builders to drive transformation in their department: create training materials, workflow templates, and best-practice guides.
  • Co-facilitate Buildathons and track AI Academy Builder programme KPIs.

About you

  • High-level education ideally in Computer Science, Data, Product Management, or a related field (BAC+4/5).

  • You like building things, not just talking about them: comfortable writing small scripts, wiring n8n/Make/Zapier workflows, and prompting LLMs.

  • You follow AI developments (LLMs, agents, RAG, evals) and have hands-on experience with at least one framework: OpenAI API, LangChain, Dust, Mistral, or similar.

  • Comfortable with SQL and data; you measure the impact of what you ship and know a KPI without a baseline is just a number.

  • Professional working proficiency in English.

How to join the mission?

  • A first call with Ru-Syl, ou Talent Acquisition Specialist, to understand your background, your motivations, and to answer any questions you may have about the role or the company.
  • A second interview with our AI Deployment Engineer to discuss technical topics, problem-solving approach, and ways of working.
  • Final interview will be a short take-home exercise to present in person.
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