AI & Software Engineer – Aviation Aftermarket (6-Month Internship)

Toulouse
• 6 months
• Internship
• AI & Software Engineer We're teaching AI to read the paper life of aircraft. Every aircraft drags a paper trail behind it. Form 1s. 8130-3s. Work packs. AD and SB status. LLP back-to-birth traces. Tens of thousands of scanned pages. Zero structure. The entire aviation aftermarket runs on that paper. Sell a jet, lease it, return it, tear it down: someone still reads every page by hand. It takes weeks. An engine with a clean back-to-birth trace is worth millions. The same engine without one is worth scrap. We automate the difference. The scale of the problem Tens of thousands of pages in a single aircraft dossier Thousands of components to trace, one by one Weeks of manual review, on every transaction And the findings that get missed are the ones that cost the most. Where it ships
• Teardown & part-out. Trace every rotable and LLP, or it doesn't sell.
• Pre-purchase inspection. Find the discrepancies before the buyer's engineer does.
• Lease return. Prove the aircraft actually meets its return conditions.
• Asset trading. Engines, APUs, landing gear, LLPs.
• CAMO & MRO. Records versus reality. Business aviation is the beachhead. Commercial, regional and rotary are next. The hard parts Not document search. These are the actual problems. Read the unreadable Resolve identity Build the graph Derive the truth Never guess Stack JavaScript Docker LLMs OCR Computer Vision Knowledge Graphs Vector DBs Bonus points: NLP PyTorch Graph DBs CAMO / Part-145 / MRO You
• You like hard problems more than clean tickets
• You build from zero and ship
• You write code other people can read
• You learn fast and ask better questions than you're asked You don't need an aviation background. You do need to want one. The hard part of this work is the domain, not the model. The engineers who move fastest here are the ones who already find aircraft interesting, and who read a maintenance manual the way they'd read an unfamiliar codebase. An engineering school background is the natural fit. The rest you learn on real dossiers, next to real engineers. What you get Production in week one. Not a sandbox, not a demo. Apply Toulouse, France. Send your CV, your GitHub if you have one, and tell us about the biggest problem you've solved so far in your life.