AI Developer – Agentic System

About Xanadu:
Xanadus mission is to build quantum computers that are useful and available to people everywhere.

At Xanadu we are learners innovators researchers collaborators and problem solvers. We are creating something that has never been built before. Few people in their life will be able to be a part of something like this where if we are successful the technologies we develop will solve some of the worlds most challenging problems and literally change the world. And that is something to be excited about!

Your Role and Responsibilities:

As an AI Developer at Xanadu you will play a crucial role in integrating generative AI into our R&D methodologies. This unique position allows you to contribute to the development of our internal tool stacks aimed at advancing the first commercially viable quantum computer. The AI teams focus is to build and improve the modeling optimization simulation data processing and design methodology of our internal research. Situated at the intersection of multiple technical disciplines you will have the opportunity to work with world leading researchers scientists engineers and software developers. By infusing cutting-edge AI into software tools you have the chance to super-charge their research progress and even reshape how they work. You will:

• Design develop and maintain our agentic AI research system for accelerating internal R&D.
• Build automated processes and pipelines for structuring unstructured documents and executing complex research tasks at scale.
• Collaborate closely with researchers theorists experimentalists engineers to craft creative solutions for complex challenges.
• Develop SDKs APIs and data visualizations that interface with internal users.
• Ensure high-quality production code through automated tests CI/CD pipelines and code review processes.

At Xanadu we primarily work with GitHub Python Rust Postgres Docker Terraform and AWS. Proficiency in these technologies is essential.

Required qualifications and experience:

• BSc in Computer Science Engineering Physics Math or a related field.
• 4 years of SWE experience building AI/ML tools in a scientific/engineering research environment.
• 1 years of experience in at least one of these areas: Agentic systems LLM/RAG-based assistants large-scale NN training and deployment.
• Proven background in building and deploying production systems on AWS.
• Strong knowledge of asynchronous concurrent and/or queueing system design.
• Experience with benchmarking LLM/Agentic workflows.
• Good understanding of ML/AI fundamentals.
• Knowledge of the full lifecycle of software development (version control testing CI/CD logging monitoring etc.)

Preferred qualifications and experience

• MSc in Computer Science Engineering Physics Math or related field.
• Experience building agentic systems with LangChain/LangGraph Claude or any similar Agentic Framework.
• Experience with ML-assisted data processing labeling and distillation.
• Good knowledge in physics and linear algebra.
• Familiarity with distributed computing.
• Familiarity with quantum computing.

This is for a new position. Your base salary will be determined based on your location experience and internal benchmarks. The base salary range is 140000 - 190000 CAD. You will also be eligible for equity and benefits.

Our values are important. They are fundamental and lay the foundation for culture at Xanadu. Learn more about our values here.

We are an equal opportunity employer and encourage candidates of all backgrounds to apply. We are committed to building an inclusive safe and equitable culture and fostering an environment where our employees feel included valued and heard. We are committed to meeting the needs of all individuals and support a barrier-free workplace. Should you require accommodations at any point during the recruitment process please contact Recruiting at .

Please be advised that we may use artificial intelligence (AI) tools to assist in the screening and assessment of applicants for this position. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.