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Xanadu

AI Developer - Agentic System

Toronto, ON, Canada

Pay: The base salary range is 140,000 - 190,000 CAD.
Job type: Full-time
Apply by: Oct 29, 2026
Posting language: English
Posted: Sep 29, 2026

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Original job description

About Xanadu:

Xanadu’s 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 world’s 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 team’s 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 140,000 - 190,000 CAD. You will also be eligible for equity and benefits.

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More about this job

Responsibilities

Design, develop, and maintain an agentic AI research system, including automated pipelines for processing unstructured documents and carrying out complex research tasks at scale. Collaborate with researchers to build internal SDKs, APIs, and visualizations, and ensure production quality through testing, CI/CD, and code reviews.

Requirements

Requires a bachelor's degree in computer science, engineering, physics, mathematics, or a related field, at least four years of software engineering experience building AI/ML tools in a scientific or engineering research environment, and at least one year of experience in agentic systems, LLM/RAG assistants, or large-scale neural network training and deployment. Candidates should have production AWS experience, knowledge of asynchronous, concurrent, or queueing system design, LLM/agentic workflow benchmarking, AI/ML fundamentals, and the software development lifecycle; a master's degree and experience with agentic frameworks, physics, linear algebra, distributed computing, or quantum computing are preferred.

Skills

Agentic AI Systems
Python
Rust
AWS
PostgreSQL
Docker
Terraform
Generative AI
LLM and RAG Assistants
Asynchronous System Design
Concurrent System Design
Queueing Systems
CI/CD
LLM Workflow Benchmarking
Machine Learning
Distributed Computing

Benefits

Equity
Benefits

Visa sponsorship

Not detected in the job text

Keywords

Agentic AI
Generative AI
Artificial Intelligence
Machine Learning
Large Language Models
Retrieval-Augmented Generation
LangChain
LangGraph
Claude
Python
Rust
PostgreSQL
Docker
Terraform
AWS
Quantum Computing
Scientific Research
Research and Development
Unstructured Document Processing
Automated Pipelines
SDKs
APIs
Data Visualization
Asynchronous Systems
Concurrent Systems
Queueing Systems
LLM Workflow Benchmarking
CI/CD
Distributed Computing
Linear Algebra

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