Pay at Intact is about much more than just salary.
Flexible work arrangements and a hybrid work model
Possibility to purchase up to 5 extra days off per year
Multiple benefits offered to support physical and mental wellbeing, including telemedicine, Wellness account and much more
Share plan & other savings: up to 12% of salary or even more (ask how you could earn guaranteed income for life)
Salary range (but not limited to):
118,Annual bonus target, based on the base salary, with a potential payout of up to double the target (subject to personal and company performance):
12%As part of our commitment to Win As A Team
, we share our success with employees through our annual bonus plan and Employee Share Purchase Plan (ESPP) – with Intact matching 50% of your net shares.
Our pension offerings provide flexibility and long-term security for our employees beyond their careers. We are one of the few companies offering the opportunity to receive guaranteed income for life via our defined benefit pension plan.
Salary for the candidate will be determined taking into consideration a number of factors including: experience, skills, qualifications, anticipated contribution to role, internal equity, etc. The salary range presented above is based on a 35-hour workweek and would represent a majority of different candidate profiles. However, we encourage candidates who may fall outside of this range to apply as well.
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.
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.
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