Stage - IA générative, LLM & agents

Ask for the moon; Paris; Híbrido; EUR 11 000 - 16 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Monthly internship allowance

Resumo da oferta

Ask for the Moon is seeking a hands-on intern to help build the industry-specific AI of tomorrow, under the guidance of our Lead AI. You will contribute to improving AI capabilities from experimentation to integration and monitoring in production.

The exact topics will be shaped during your internship, based on current challenges, team needs, and your interests. Start date is as soon as possible in Paris, with up to 2 remote days per week and a 6-month preferred duration.

Qualificações

• Interest in applied generative AI and real-world industrial challenges.
• Willingness to learn retrieval, tool use, evaluation, and reliability.
• Understanding of Python and basic coding practices such as testing and version control.

Responsabilidades

• Contribute to AI feature development in collaboration with product, full-stack, and DevOps teams.
• Participate in technical discussions by sharing ideas and findings.
• Improve and maintain testing and monitoring tools to measure quality and usage.

Conhecimentos

Strong problem-solving skills

Excellent communication

Curiosity

Formação académica

Academic work or student projects

Ferramentas

Python

Knowledge of AI/ML concepts

Descrição da oferta de emprego

Join Ask for the Moon’s adventure — Build the industry-specific AI of tomorrow!

As part of our technical team and under the guidance of our Lead AI, you will contribute to improving the AI capabilities at the core of our product - from experimentation and evaluation to integration, monitoring, and continuous improvement in production.

The exact topics will be shaped throughout your internship, based on the current challenges, the team’s needs, and your interests.

What you might work on:

• Generative AI, RAG, LLMs & agentic AI – enhance our AI assistant with new capabilities and improve its reliability in critical industrial environments.

• Knowledge mapping – expand and refine how domain expertise is represented through ontologies and knowledge graphs.

• Colleague-to-colleague matching – contribute to improving and evaluating the algorithms that connect users with the most relevant colleagues and internal experts.

• AI testing & monitoring – strengthen our quality, reliability, and usage metrics to support the product’s continuous evolution.

Your main missions

• Contribute to the development of AI features in close collaboration with our product, full-stack, and DevOps teams.

• Take part in technical discussions and decisions by sharing your ideas, findings, and questions with the team.

• Improve and maintain testing and monitoring tools to measure quality, reliability, and usage, helping the team identify development priorities.

Practical details

• Location: Paris, République

• Remote work: Up to 2 days per week

• Start date: As soon as possible

• Duration: 6 months preferred, with a minimum of 5 months

• Monthly internship allowance: 1000€ to 1400€, depending on your profile

A hands-on interest in applied generative AI. You may have experimented with LLMs, RAG or AI agents through academic work, a personal project, or a previous internship, and you are eager to learn more about retrieval, tool use, evaluation, and reliability.

Strong problem-solving skills and intellectual curiosity: you are able to explore an unfamiliar topic, ask relevant questions, and examine results with critical thinking.

A good working knowledge of Python and an interest in developing sound coding practices such as testing, code reviews, documentation, and version control.

Clear communication skills, with a willingness to share your approach, results, questions, and uncertainties with both technical and non-technical colleagues.

Curiosity about real-world industrial challenges and an interest in learning from users and domain experts.

Professional experience is not required: academic work, previous internships, personal projects, and genuine curiosity all count. You will receive regular guidance and feedback throughout the internship, with room to learn, experiment, and progressively take ownership.