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AI Developer Senior

Job in Vancouver, BC, Canada
Listing for: Intact Financial Corporation
Full Time position
Listed on 2026-01-14
Job specializations:
  • Software Development
    Software Engineer, AI Engineer, DevOps, Cloud Engineer - Software
Job Description & How to Apply Below

Our employees are at the heart of everything we do. Together, we help people, businesses, and society prosper in good times and be resilient in bad times.

Our employee promise represents Intact’s commitment to you in exchange for living our Values, striving to do your best work, being open to change and investing in your career. In return, we promise to provide support, opportunities and performance-led financial rewards at a workplace where you can shape the future, win as a team and grow with us.

About the role What you’ll do here:
  • Build and Code:
    Codes AI workflows following AI processes and standards. Conducts unit tests, security code checks and delivers and maintains documentation.
  • Delivery dates:
    Organizes the work to meet delivery dates and raised issues/challenges proactively to meet the deadlines.
  • Delivery phase:
    Participates in the end-to-end testing in order to deliver production grade quality code (in terms of performance, stability and scalability).
  • Works and collaborates closely with Data Scientists.
  • Implement new workflows to integrate AI models into Applications and Solutions.
  • Integrate Dev Ops concept and tools to provide an Agile and scalable environment.
  • Participate in the design, development and evolution of microservices, APIs and reusable libraries for the execution of our algorithms in mission critical production environments.
  • Participate in the technological watch and definition of development standards to ensure system efficiency, resilience, and sustainability.
  • Participate in the development and evolution of back-end components for the execution of our algorithms.
  • Optimize the platform for maximum velocity and scalability.
  • Optimize and prioritize development tasks in collaboration with the team.
  • Help our testers in setting up component and integration tests.
  • Ensure the high level of quality of the work delivered.
  • Strengthen the development team productivity.
  • Oversee the development of appropriate tactics to achieve objectives.
  • Support and be proactively involved in problem situations or issues.
  • Play a Technical Leader / Mentor role for Squad members.
What you bring to the table:
  • Bachelor’s in computer engineering, computer science or software engineering, with a minimum of 5 years of significant experience in development of enterprise grade software solutions
  • Proficient in Python language & GIT.
  • Proficient in AWS technologies such as ECR, ECS, SQS, Lambda and Cloud Watch.
  • Proficient in Terraform.
  • Proficient in front end - React & Typescript.
  • A very good understanding of machine learning and artificial intelligence.
  • A good knowledge of Generative AI and Retrieval-Augmented Generation (RAG).
  • A good knowledge of MLOps best practices.
  • Experienced with software engineering life cycle and agile methodologies.
  • Experienced in developing complex services based on Docker, Fast API.
  • Experienced with modern Dev Ops tools such as Gitlab CI/CD, Grafana, ELK stack.
  • Working knowledge of streaming and batch processing systems such as Kafka.
Minimum requirements:
  • Bachelor’s in computer engineering, computer science or software engineering.
  • Minimum of 5 years of significant experience in development of enterprise grade software solutions.
  • For candidates located in Quebec, bilingualism is required considering the necessity to interact on a regular basis with English-speaking colleagues across the country.
  • No Canadian work experience required however must be eligible to work in Canada.
Technology required:
  • Proficient in Python language & GIT.
  • Proficient in AWS technologies such as ECR, ECS, SQS, Lambda and Cloud Watch.
  • Proficient in Terraform.
  • Proficient in front end - React & Typescript.
  • A very good understanding of machine learning and artificial intelligence.
  • A good knowledge of Generative AI and Retrieval-Augmented Generation (RAG).
  • A good knowledge of MLOps best practices.
  • Experienced with software engineering life cycle and agile methodologies.
  • Experienced in developing complex services based on Docker, Fast API.
  • Experienced with modern Dev Ops tools such as Gitlab CI/CD, Grafana, ELK stack.
  • Working knowledge of streaming and batch processing systems such as Kafka.

$ - $

What we offer

Our hybrid work model provides the balance…

Position Requirements
10+ Years work experience
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