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AI Transformation Intern at alice-bob in Paris, France, on-site, in IT/Other IT, at intern level. JobGrid normalizes the role facts, shows the source posted on 2026-06-05 and last checked on 2026-06-06, keeps the original-language source separate, and routes applications to the original public page with non-personal referral parameters.
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Building a fault-tolerant quantum computer by 2030 requires every support function to operate at the same level of ambition as the lab. Reporting to the Chief of Staff, you will be embedded across Finance, Legal, HR, Operations, and Business to understand how each team works, identify which recurring tasks can be encoded as a Claude skill, and build them.
The output is concrete: a growing library of production-ready Claude skills, each one owned and used by the team it was built for.
Alice & Bob grew from 5 to 250+ people in six years and is one of the fastest-growing deep-tech startups in Paris.
AI integration is not a side project here it is a company-wide strategic priority, and this role sits at the center of it, with direct visibility from leadership.
Responsabilities:
- Conduct structured process interviews with leads across Finance, Legal, HR, Operations, and Business / Revenue to map recurring, high-cognitive-load tasks
- Identify which tasks are suitable for Claude skill encoding — well-defined inputs, predictable structure, clear success criteria
- Write, test, and iterate Claude skills: system prompts, instructions, behavioral rules, few-shot examples, output formats, and edge case handling
- Validate each skill directly with end users until it performs reliably for non-technical team members
- Maintain a documented skill library with scope, usage guide, known limitations, and update log for each skill
- Build and share a reusable methodology for skill writing that other teams can apply independently after the internship
Requirements:
- Final-year student (M2 or gap year) from a Tier 1 business or engineering school
- Strong working knowledge of Claude and prompt engineering — you understand how LLMs reason, where they fail, and how instruction design affects output quality
- Ability to write precise, structured specifications: unambiguous instructions, well-chosen examples, explicit edge case handling
- Analytical approach to process decomposition — able to turn a vague workflow description into a defined task with clear inputs and outputs
- Fluent English — skills will be written and tested
- French is a plus
- Comfortable operating with autonomy; the role requires self-direction across five departments simultaneously
- Prior experience building Claude skills, custom GPT instructions, or equivalent structured prompt systems that were actually used by others
- Exposure to one or more of the target functions: Finance, Legal, HR, Operations, or B2B Sales — enough to recognize where the real friction is
- Genuine interest in quantum computing and the deep-tech space