AI Engineer / Developer

Capgemini • Toronto, ON

1d • CA$83,000 - CA$104,000

About The Position

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Requirements

• Advanced Python proficiency with strong software engineering fundamentals version control testing code reviews
• Proficiency in SQL and distributed computing Spark distributed systems
• Deep experience with data modeling and feature engineering across the ML lifecycle
• Handson experience building LLM applications RAG pipelines and agentic AI frameworks LangChainLangGraph preferred
• Expertise designing distributed systems at enterprise scale
• Strong CICD and DevOps knowledge GitHubGitHub Actions Docker Kubernetes
• Experience with event streaming platforms Kafka
• Demonstrated ability to design and deploy hybrid cloud and onpremise systems AWS Azure
• Excellent collaboration and communication skills across engineering research and product teams
• Selfdirected problemsolving mindset and ability to navigate enterprise complexity
• Masters degree in Computer Science Software Engineering or related field with 5 years in datasoftwareMLAI engineering preferred
• UI development expertise with React and JavaScript a plus

Responsibilities

• Build and maintain scalable batch and streaming data pipelines for ingestion transformation and curation
• Design and optimize data models feature stores and storage patterns for AIML workloads
• Implement DataOps and MLOps automation CICD data validation model deployment monitoring drift detection
• Design build and optimize agentic AI systems and LLMpowered applications RAG pipelines agent orchestration
• Develop and integrate AI services into secure productiongrade environments
• Design and implement AI systems architecture best practices and standards across the organization
• Build scalable resilient cloud and onpremise systems for hosting AILLM applications
• Provide infrastructure design optimization and monitoring support
• Translate business requirements into technical solutions through crossfunctional collaboration
• Ensure code quality system reliability scalability and observability

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level