Senior Software Engineer - AI Applications (W/M/NB) - Parisot

About

Join the Ubisoft AI Initiatives team and architect the future of the information lifecycle at Ubisoft. From advanced hybrid search and RAG pipelines to complex, agentic reasoning, we are engineering the tools that turn raw information into high‑velocity decision‑making. If you want to push the boundaries of how humans and AI collaborate to solve complex problems, this is your arena. We are seeking a highly experienced Senior Software Engineer to join our team in charge of the development of scalable back‑end systems that power these cutting‑edge AI applications.

Responsibilities

• Architect and Develop Back‑End Systems: Design and implement scalable, high‑performance back‑end services to support AI applications.
• Optimize Performance: Ensure low‑latency, high‑throughput serving of AI models, agents and APIs, optimizing for both speed and reliability.
• Collaborate Across Teams: Partner with data scientists and ML engineers to integrate AI models and advanced agents into production systems, ensuring seamless deployment and monitoring.
• Cloud Infrastructure: Build and maintain cloud‑native solutions using platforms like AWS, or Azure, with a focus on scalability, security, and cost‑efficiency.
• Technical Leadership: Mentor junior engineers, conduct code reviews, and contribute to the overall technical strategy of the team.
• Stay Ahead of the Curve: Keep up‑to‑date with the latest trends and technologies in AI, cloud computing, and software engineering, and bring innovative ideas to the table.

Opportunities

• Engage in continuous learning and professional development to stay at the forefront of AI advancements.
• Take on increased responsibilities and influence the strategic direction of our AI product offerings and drive impactful innovation.

Must‑Have Qualifications

• Experience: professional and practical software engineering experience, with a focus on back‑end development in a compute‑intensive and/or data‑intensive environment.
• Programming Skills: Expertise in languages such as Python, Java, Rust, or C++.
• Cloud Expertise: Hands‑on experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
• AI/ML Integration: Experience deploying and serving machine learning models in production environments.
• System Design: Strong understanding of system architecture, microservices, and API design.
• Problem‑Solving: Proven ability to tackle complex technical challenges and deliver innovative solutions.

Nice‑to‑Have Qualifications

• Familiarity with Deep Learning architectures, Language Models, Vision Models.
• Understanding of RAG‑based architectures (indexing, embedding, vector databases and search, query processing).
• Experience building and deploying AI agents and multi‑agent systems, including agent orchestration frameworks (e.g. LangGraph, Strands Agents, CrewAI), tool integration and agentic workflow design.
• Experience with serverless architectures and event‑driven systems.
• Contributions to open‑source projects or publications in relevant fields.