Company Description
Ubisoft is a global leader in video games, with teams spread across the world creating original and memorable gaming experiences, from Assassin's Creed to Rainbow Six to Just Dance and many more. We believe that diversity of perspectives drives progress for both players and teams.
If you are passionate about innovation and want to push the boundaries of entertainment, join our adventure and help us create the unknown!
Job Description
DocGPT is Ubisoft's internal knowledge assistant platform, showcased this year at the Games Developer Conference (GDC) 2026 and deployed at scale across studios and divisions. Built on a RAG architecture, it enables thousands of employees to find relevant information directly from their everyday tools.
You will lead the technical direction of DocGPT's AI components: as the go-to expert on information retrieval and LLM integration challenges, you will define strategic directions, support the team, and translate sometimes ambiguous requirements into robust solutions.
What you will do:
- Define and drive the technical direction of retrieval pipelines: chunking, semantic indexing, vector search, reranking.
- Establish platform evaluation standards and make response quality a first-class metric in the development cycle.
- Define the LLM integration approach in a multi-tenant context: context management, prompt engineering, cost control, evolution toward agentic capabilities.
- Proactively identify limitations of the current architecture and propose improvements before they impact users.
- Mentor junior and intermediate team members on ML best practices and experimental rigor.
- Be the trusted point of contact for client teams and stakeholders on AI topics.
Qualifications
What you will bring to the team
- 5+ years of experience in applied ML on information retrieval systems or NLP in production.
- Proficiency in Python and ML/NLP frameworks: LangChain, LlamaIndex, HuggingFace Transformers.
- Proven experience with RAG architectures: embedding models (OpenAI, Cohere, BGE), vector databases (Qdrant, pgvector, Weaviate, Pinecone), reranking (cross-encoders).
- Mastery of LLM APIs (Claude, OpenAI GPT) and advanced prompt engineering techniques (few-shot, chain-of-thought, structured outputs).
- Experience with RAG evaluation frameworks: RAGAS, MRR/NDCG metrics, evaluation dataset construction.
- Knowledge of AWS and Databricks cloud environments (MLflow, Feature Store) and containerized environments.
- Demonstrated technical leadership and comfort with ambiguity; excellent communication skills.
Additional Information
About us
Ubisoft teams comprise 20,000 people spread across more than 30 countries around the world and are united by a common mission: to enrich the lives of players through original and memorable gaming experiences. Their energy and talent have brought to life many acclaimed franchises such as Assassin's Creed, Far Cry, Watch Dogs, Just Dance, Rainbow Six and many more to come.
Ubisoft is an equal opportunity employer and believes that diversity of backgrounds and perspectives is essential to creating worlds that enable the flourishing and expression of everyone.
Working at Ubi MTL means enjoying a workplace that sparks creativity and fosters connection. We offer a collaborative space focused on professional advancement, learning opportunities, and well-being (our substantial benefits package is proof of that!).
If you are excited about taking on exciting challenges, leveraging the latest technologies, and being part of the future of entertainment, join us to create the unknown.
At Ubisoft, you are welcome as you are. We embrace diversity in all its forms. We are committed to fostering an inclusive and respectful work environment for all differences.