Shift Technology :
Shift is the leading AI platform for insurance. Shift combines generative, agentic, and predictive AI to detect fraud, assess risk, and recommend actions throughout the claims process. Our teams tackle complex data challenges and bring advanced models into production at scale, giving insurers deeper insights into their data while helping their customers get paid faster and enjoy a smoother claims experience. Our technology is adopted and trusted by the world’s leading insurers.
The Data & AI Engineering Team 🤖:
The Data & AI Engineering team designs, builds, and maintains the platform that powers all of Shift’s products and features used by insurers. We bring together Data, Software, and ML/AI Engineers to tackle a broad range of technical challenges. Here are just a few of the areas we work on:
- Predictive ML models, RAG systems and advanced agentic AI workflows for scoring and decisions;
- Data storage: relational, NoSQL, and vector databases;
- Data pipelines: ingestion, cleaning, transformation, and enrichment;
- Unstructured data processing: text and documents;
- Entity linking, entity resolution, and network detection using graph algorithms
Working closely with forward-deployed Data Scientists, we take end-to-end ownership of these components: from designing the architecture and implementing solutions together to overseeing deployments and maintaining and improving systems in production.
Your key responsibilities🧑💻:
You’ll own a feature of Shift’s Data & AI platform involving large language models (LLMs) and agentic workflows, from initial exploration to production, which will improve our fraud detection or payment integrity models. You’ll be responsible for:
- Understanding the business problem with our clients, Product teams, and domain experts
- Exploring the state of the art, testing approaches, and identifying what works best for your use case
- Designing the solution alongside our Architects and AI Research Lab
- Building and integrating your feature within a cross-functional squad
- Evaluating and improving performance, measuring accuracy (precision / recall) and latency
- Deploying your feature into production in collaboration with our forward-deployed Data Scientists
Along the way, you’ll discover how Sales, Product, Engineering, Research, Data Science, Security, and other teams work together to deliver AI products to clients. Your work will go beyond a prototype: you’ll help put an AI feature into production, powering solutions used by insurers around the world.
- Your profile and requirements✅:
- You are currently enrolled as a Master's degree student in Computer Science, Machine Learning, Artificial Intelligence, or Big Data.
- You possess strong technical skills in Python and Object-Oriented Programming (OOP). Prior exposure to C#, Java or C++ (via coursework, internships, or personal projects) is a strong plus.
- You have a deep technical curiosity and a hands-on interest in modern AI paradigms (LLMs, agentic workflows, ML evaluation frameworks, and automation).
- You demonstrate a strong engineering mindset with an interest in code quality, system performance, and software design principles.
- You can provide a 6-month internship agreement (Convention de stage) signed by your school/university, starting around February 2027
- Language requirements: English is mandatory at a fluent level.
Why join Shift Technology as a Data & AI Engineer Intern?
🤸♀️Flexibility, autonomy and adaptability are part of our core values : We are a horizontal organization without bureaucracy (65% of staff are in tech roles) but optimal and reduced line management, focus on delivery and development while having a hybrid model.
🧠Learn from inside an AI leader tech company : Join the 13th French Licorne providing hands on training, workshop and sessions with highly experienced AI research Team.
💶Your commitment, our investment : 2000€ gross monthly gratification, high conversion rate to full time employee, dedicated HR partner, regular reviews and feedback sessions with your team.
🌍Be part of an international and diverse tech firm : Full english speaking environment with 55 different nationalities across the world and 11 offices locations (Paris, Singapore, Tokyo, Sao Paulo, Mexico City, Boston, Madrid, London, Toronto, Berlin...)
🤝Dealing with big clients and developing business skills & knowledge : Real life experience with Insurance business challenges inside the world of AI.
What is next ? 🎯
If your application and experience meet our requirements, you can expect :
- Talent Acquisition interview (30 min)
- Technical interview 1 (60 min)
- Hiring manager interview (60 min)
The interview process can take 2 to 3 weeks, depending on the interviewer's availability. Be sure that we are doing our best to get back to you with an answer as fast as possible. If you are not getting an update on your application after 10 days, please reach out to our email address.
