AI Deployment Engineer - Intern (January 2027)

Malt is hiring an AI Deployment Engineer - Intern (January 2027) in Paris, France. Level rates it ; you can apply on Malt.

Level's read on this job

Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions OpenAI, Mistral and LangChain among its tools and skills.
Level classes it as an internship.
Malt has 28 other open roles on Level.

AI in this role

openaimistrallangchainopenai-apizapier-ain8n

ragai-agents

🪐 Discover our galaxy Join the Future of Work ! Malt is Europe's leading freelance marketplace, connecting over 1,000,000 talented freelancers with 100,000+ companies. Founded in 2013, we're transforming how work gets done through our tech-powered, human-centered platform. What makes us different: - A diverse team of 600 Malters across 6 European countries - A culture that champions equality (50% of our Comex are women) and inclusive growth - Backed by top investors including ISAI, Serena Capital, Eurazeo Growth, Goldman Sachs, and BPI - A mission to give everyone the freedom to work differently Ready to help shape the future of work? Your next chapter starts here! 🪐 At Malt we believe that Ambition is the Way, so all lists of missions and responsibilities are non-exhaustive.

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.

Malt is the perfect space to thrive personally and professionally 💫 - Onboarding: Before easing into your new role, you’ll spend your first week learning about our culture, products, and services with other onboardees at our office in Paris - Paid vacation - 1 paid day/month worked for interns, 5 weeks/year for apprenticeships - Lunch vouchers: €9/day on your Swile card - Transportation: 50% reimbursement (any type of transport) - Free books: If you’re interested in learning more about any topic relevant to Malt’s business, just tell us the books you’d like to read, and we’ll order them for you—without any questions asked or approval processes to follow. - Remote work: Hybrid remote policy - Annual team building events Ready? Get your ticket to Malt 🪐 At Malt, we are committed to fostering an inclusive and diverse workplace. We recruit based on skills, experience, and potential, without any form of discrimination related to age, gender, sexual orientation, ethnicity, religion, or disability. Our mission is to create a work environment where everyone feels valued, respected, and safe to thrive. Your profile may be subject to background screening. For more information see our candidate privacy policy.

How we rate this

AI Deployment Engineer - Intern (January 2027) at Malt rates 62 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

AI Deployment Engineer - Intern (January 2027) is an open job at Malt.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in Paris.
The job was posted on May 29, 2026.
Seniority: intern.
Applications are handled by Malt. Apply on Malt

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI agentsOpenAIMistralLangChainOpenAI APIZapier AIN8n

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
How do you decide when an AI agent can act on its own versus asking for approval first?
What are the limits of OpenAI that you've run into, and how did you work around them?
What's a project where you used Mistral hands-on?
Walk me through how you've used LangChain in your day-to-day work.

Adapt your resume

List these exact terms on your resume: RAG, AI agents, OpenAI, Mistral, and LangChain. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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