AI Engineer

Posted 7 Days Ago
Be an Early Applicant
Bucharest, București, ROU
In-Office
Entry level
Gaming
The Role
Design, build, deploy, and evaluate generative and agentic AI prototypes, MVPs, and scalable components. Collect and prepare datasets, assess LLM application performance, develop RAG and LLMOps automations, and collaborate with data scientists, software developers, cloud experts, and domain teams. The role also involves documenting best practices, managing emerging AI risks, and sharing knowledge through workshops and technical content.
Summary Generated by Built In
Company Description

As Ubisoft’s online platform developer, Online Services helps bring high-quality connected experiences to millions of players worldwide. Working alongside production teams, we leverage state-of-the-art solutions to enable value-filled features in all our online games – throughout their development and while they’re live. With a view of Ubisoft’s entire digital ecosystem and a long-term approach to online gaming, we focus on finding the right solution for the right purpose. And if the solution we need doesn’t exist yet? That’s just an opportunity for us to create it. 

As an AI engineer within our R&D team, you’ll design, develop, and implement applications and tools that leverage the latest AI technologies to support our partners’ objectives.

Your role combines hands-on engineering with curiosity and exploration: you’ll test and maintain applications, contribute to requirements, architecture and design discussions, and evaluate the value of new technologies to strengthen Ubisoft’s strategy and best practices.

Job Description

What you'll do:

  • Design, build & deploy end-to-end-prototypes, MVPs, and scalable components for Online Services & partners using Generative AI and Agentic AI technologies (prompting, guardrails, agents, chunking etc.).
  • Collaborate closely with cross-functional teams, including domain experts, data scientists, software developers, and cloud experts to ensure seamless integration and successful project outcomes.
  • Collect, preprocess, clean and analyze large datasets for training, finetuning and evaluation purposes.
  • Conduct rigorous testing and evaluation of LLM driven applications to measure their performance and user satisfaction, making data-driven improvements (LLM as a judge, LLM metrics, traces, etc.).
  • Analyze data & give insights to inform stakeholders regarding solution performance and propose improvement actions and finetuning.
  • Build & support automations via CI/CD (GitLab) for typical LLM processes (RAG, automatic evaluations, deployment of resources, etc.).
  • Document & share knowledge through technical content and guidelines to enhance internal collective intelligence.
  • Anticipate and manage risks of emerging AI technologies, ensuring responsible and ethical use.
  • Stay up to date on industry trends and advancements in AI and data science and act as an ambassador of the team by participating in diverse workshops, presentations, internal or external events.

Qualifications

What you'll bring as technical knowledge:

  • Deep understanding of data structures, algorithms, and software engineering principles, as applied to Python & JavaScript
  • Deep understanding of machine learning fundamentals, including deep learning concepts and popular ML libraries (TensorFlow, PyTorch)
  • Familiarity with Gen AI & Agentic AI techniques such as RAG, function calling, and agentic workflows
  • Knowledge of DevOps /LLMOps tools and practices (model serving, versioning, CI/CD)
  • Knowledge of RESTful APIs, backend technologies and database (FastAPI, Postgres, MongoDB)
  • Experience with a major cloud provider (AWS, Azure or similar)

What you'll bring as soft skills:

  • Motivated, curious, and eager to explore new technologies
  • Strong communication skills, able to translate complex concepts for diverse audiences
  • Collaborative and open to feedback, contributing to a supportive team culture
  • Organized and proactive, balancing innovation with delivery

Additional Information

To be considered for this position, please ensure that your application includes:

  • An updated CV highlighting your education, experience, skills, and games shipped

This recruitment process is ongoing and closely aligned with the evolution of our new projects. While we carefully review every application, it’s possible that not all applicants will be interviewed immediately. 

However, don’t be discouraged if you don’t receive an invitation. You may well be an excellent fit for the next phase of our selection process when more openings occur. We really encourage you to apply and express your interest/preference moving forward. 

Skills Required

  • Strong understanding of data structures, algorithms, and software engineering principles applied to Python and JavaScript
  • Strong understanding of machine learning fundamentals and deep learning concepts
  • Experience or familiarity with TensorFlow and PyTorch
  • Knowledge of generative AI and agentic AI techniques, including RAG, function calling, and agentic workflows
  • Knowledge of DevOps and LLMOps practices, including model serving, versioning, and CI/CD
  • Knowledge of RESTful APIs, backend technologies, FastAPI, PostgreSQL, and MongoDB
  • Experience with a major cloud provider such as AWS or Azure
  • Strong communication and collaboration skills
  • Updated CV highlighting education, experience, skills, and games shipped

Ubisoft Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ubisoft and has not been reviewed or approved by Ubisoft.

  • Healthcare Strength — Health coverage in the U.S. includes medical, dental, and vision options with HSA funding to cover the deductible, plus access to One Medical and a mental‑health program. Several studios also provide telemedicine and, in some regions, on‑site clinic services.
  • Leave & Time Off Breadth — Time off includes paid vacation, holidays, wellness time, volunteer PTO, and a sabbatical available after five years in the U.S. Canadian studios highlight six weeks of vacation and additional local days tied to occasions or seasonal reduced hours.
  • Parental & Family Support — Enhanced parental leave with salary top‑ups is emphasized in multiple regions, including Canada. In the U.S., a travel‑expense program supports access to reproductive healthcare when services are out of state.

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The Company
HQ: Montreuil
21,450 Employees
Year Founded: 1986

What We Do

Ubisoft’s 20,000 team members, working across more than 40 locations around the world, are bound by a common mission to enrich players’ lives with original and memorable gaming experiences. Their dedication and talent has 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 that believes diverse backgrounds and perspectives are key to creating worlds where both players and teams can thrive and express themselves.

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