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

Ubisoft Entertainment; Saint-Mandé; Hybride; EUR 60 000 - 90 000; Plein temps

Résumé du poste

A global gaming leader is seeking a Senior Software Engineer for AI Applications in Île-de-France. You will collaborate across teams to design scalable back-end systems and optimize AI model performance in a hybrid work environment. Ideal candidates will have experience in Python, cloud platforms, and problem-solving capabilities. This role offers competitive perks including profit sharing, comprehensive healthcare, and a flexible work model.

Prestations

Profit Sharing

25 PTO + 12 additional days

50% transport pass reimbursement

Healthcare for family

20 weeks maternity leave

Gym available

Qualifications

• Professional software engineering experience focused on back-end development.
• Expertise in Python, Java, Rust, or C++.
• Experience with AWS, GCP, or Azure.
• Knowledge in deploying machine learning models.
• Strong understanding of microservices and API design.

Responsabilités

• Design and implement scalable back-end services for AI applications.
• Ensure low-latency and high-throughput serving of AI models.
• Collaborate with data scientists to integrate AI models.
• Build and maintain cloud-native solutions.
• Mentor junior engineers and contribute to technical strategy.

Connaissances

Back-end development

Python

Java

Cloud platforms (AWS, GCP, Azure)

Machine learning

System architecture

Outils

Docker

Kubernetes

Description du poste

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

Ubisoft is a global leader in gaming with teams across the world creating original and memorable gaming experiences, from Assassin’s Creed, Rainbow Six to Just Dance and more. We believe diverse perspectives help both players and teams thrive. If you’re passionate about innovation and pushing entertainment boundaries, join our journey and help us create the unknown!

JOB DESCRIPTION

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. This role requires a highly experienced Senior Software Engineer to design and develop scalable back‑end systems that power cutting‑edge AI applications.

RESPONSIBILITIES

As a Senior Software Engineer – AI Applications, you will play a critical role in designing and building the core services that enable our solutions. You’ll work at the intersection of AI, enterprise cloud‑based applications, large‑scale data processing, and cloud infrastructure.

• 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, Azure, focused 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.

QUALIFICATIONS

Must‑Have Qualifications:

• Experience: Professional and practical software engineering experience, with a focus on back‑end development in compute‑intensive and/or data‑intensive environments.
• 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.

ADDITIONAL INFORMATION

Please submit your application documents in English.

Ubisoft's perks

• Profit Sharing, yearly company saving plan.
• 25 paid time off + 12 additional paid days off.
• 50% of transportation pass paid by the company, lunch vouchers (9€/day).
• Healthcare for you and your family.
• Maternity leave of 20 weeks, paternity/co‑parental leave of 7 weeks.
• Hybrid work model: minimum 3 days a week in Saint‑Mandé office, 2 days working from home.
• Gym available in the building.

Recruitment process

• 30 minutes: phone or visio call with a Recruiter.
• 60 minutes: interview with the manager of the role and a Recruiter.
• 60 minutes: interview with members of the AI team.
• 60 minutes: technical assessments with Ubisoft technical experts.

Information about Ubisoft

Ubisoft offers the same job opportunities to all, without any distinction of gender, ethnicity, religion, sexual orientation, social status, disability, or age. Ubisoft ensures the development of an inclusive work environment which mirrors the diversity of our gamers’ community.

EEO Statement

We embrace a hybrid work model helping you stay connected with your team and aligned with business priorities, while giving you the opportunity to maintain your work‑life balance. Note that some roles are fully office‑based and are not eligible for hybrid work.