Senior Software Developer – Machine Learning Platform
You will contribute to the development, testing, and deployment of a scalable AI platform that supports millions of daily machine learning predictions. You will also collaborate with data engineers and applied scientists to integrate agentic applications into production environments.
- Hybrid
- Montréal, QC
- Posted Aug 4, 2026
- 1 position
Job summary
Build the backbone of AI at scale Want to see your work power millions of machine learning predictions every day? Join our Machine Learning Platform team and help bring models, including Large Language Models (LLMs), into production in a reliable and scalable way. You’ll contribute to a platform that trains thousands of models and serves hundreds of millions of queries daily, while growing your expertise in distributed systems, machine learning infrastructure and agentic workflows. As a Backend Developer, you will: Contribute to the development lifecycle, including coding, testing, and deployment Analyze and help improve the ease of use, observability and reliability of our AI platform Participate in maintaining services handling millions of requests and LLM calls per day Collaborate with applied scientists, data engineers, and developers to integrate agentic applications into production Contribute to evolving our AI platform to support the growth and scale of agentic workflows for Coveo users Suggest improvements to existing processes and use AI coding tools to support your development workflow Here is what will qualify you for the role: 5+ years of experience in backend development in a cloud environment (Python or Java/Spring preferred, AWS an asset) Good understanding of distributed systems and scalable application design Ability to solve problems and debug systems with guidance when needed Comfortable learning new tools, technologies, and best practices What will make you stand out: Familiarity with Terraform, AWS Bedrock, OpenSearch serverless or other vector databases, LiteLLM or other LLM inference gateways Exposure to machine learning workflows or agentic workflows Interest in scalable backend services, large-scale realtime systems, agentic workflows and applications or realtime inference at scale You don’t need to check every single box; passion goes a long way and we appreciate that skillsets are transferable. Send us your application, we want to hear from you! Join the Coveolife! We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background. This job description was written by humans, assisted by AI. We may leverage technology in our hiring process to help us see the person behind the resume. Coveo is committed to providing accessible employment practices. If you require accommodation due to a disability at any point during the recruitment process, please contact HR@Coveo.com to discuss your needs.
What you’ll do
You will contribute to the development, testing, and deployment of a scalable AI platform that supports millions of daily machine learning predictions. You will also collaborate with data engineers and applied scientists to integrate agentic applications into production environments.
Requirements
The role requires at least 5 years of backend development experience in a cloud environment, preferably with Python or Java. Candidates should possess a strong understanding of distributed systems and scalable application design.
Listed skills
- Machine learningPreferred
- Amazon Web ServicesPreferred
- JavaPreferred
- TerraformPreferred
- PythonPreferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Backend Development
- Python
- Java
- Spring
- AWS
- Distributed Systems
- Machine Learning
- LLMs
- Terraform
- AWS Bedrock
- OpenSearch
- Vector Databases
- LiteLLM
- Agentic Workflows
- Scalable Application Design
- Observability
- Large Language Modeling
- Vector Database
- Back End (Software Engineering)
- Coveo
- Workflow Management
- Serverless Computing
- Artificial Intelligence
- Amazon Web Services
- Debugging
- Forecasting
- Scalability
- Spring Framework
- Python (Programming Language)
- Opensearch
- Machine Learning Infrastructure
Job areas
- Software
- Technology
- Data & Analytics
- Engineering
- Machine Learning Software Engineer
- Data Scientist
- Systems Analysts
- Data Scientists
Additional details
- Minimum experience
- 5+ years
- Posting language
- English
- Working hours
- 40 hours per week
