Coveo Logo

Coveo

Senior Software Developer – MLOps

Reposted One Month Ago
Remote
Hiring Remotely in Québec, QC
Senior level
Remote
Hiring Remotely in Québec, QC
Senior level
Design, build, and maintain scalable backend services for a production ML platform handling millions of LLM calls and predictions daily. Improve observability, reliability, and ease-of-use; collaborate with scientists and engineers to deploy agentic workflows and realtime inference; participate in coding, testing, and deployment.
The summary above was generated by AI
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 [email protected] to discuss your needs.

Similar Jobs

An Hour Ago
In-Office or Remote
7 Locations
136K-245K Annually
Senior level
136K-245K Annually
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Develop and manage Square’s always-on B2B content engine across social, thought leadership, customer stories, partner content, and industry narratives. Build content calendars, formats, briefs, campaigns, and AI-assisted workflows; collaborate with marketing, sales, creative, communications, and external partners; manage production through launch; and use performance insights to optimize content and distribution.
Top Skills: Ai ToolsLinkedInSocial Media Platforms
2 Hours Ago
Easy Apply
Remote
United States
Easy Apply
165K-278K Annually
Senior level
165K-278K Annually
Senior level
Cloud • Security • Software • Cybersecurity • Automation
Leads secure enterprise architecture design and GitLab Professional Services implementations across application security, cloud security, DevSecOps, identity, vulnerability management, and compliance. Guides SaaS, Self-Managed, and Dedicated deployment decisions; leads CI/CD, source control, and security-tool migrations; conducts risk assessments and threat modeling; supports pre-sales scoping and statements of work; coordinates cross-functional delivery; mentors consultants; and develops security enablement materials.
Top Skills: AnsibleCheckmarxContainer ScanningDastDependency ScanningFedrampGdprGitguardianGitlabGitlab Ci/CdGitlab DedicatedGitlab DuoGitlab SaasGitlab Self-ManagedIso 27001JenkinsNist 800-53Owasp Top 10 For Llm ApplicationsSastSecret DetectionSnykSoc 2SonarqubeTerraformVeracode
Yesterday
Easy Apply
Remote
Easy Apply
101K-151K Annually
Entry level
101K-151K Annually
Entry level
Big Data • Fintech • Mobile • Payments • Financial Services
Build and improve reliable, scalable frontend experiences for Affirm’s pre-checkout products, including Affirm.js, promotional messaging, experimentation, and developer-facing tooling. Use browser debugging, monitoring, metrics, and testing tools to maintain accessible, performant cross-browser experiences. Collaborate with engineers and stakeholders, contribute to code reviews, troubleshoot operational issues, and write clear, well-tested, extensible code.
Top Skills: JavaScriptReactTypescriptVue

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account