Senior Full stack AI Developer (Python & Angular/React)

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):

118,700 - 145,100

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

We’re looking for a Senior Full stack AI Developer (Python & Angular/React) to join our growing team!

What you'll do here:

• Integrate AI solutions tailored to improve the business’ operational processes using technologies like FastAPI, ensuring robustness, performance, scalability, reliability, and observability.
• Ensure seamless integration of AI-driven solutions with existing insurance operations systems, coordinating closely with IT, operations, and data science teams to align on technical requirements and deployment strategies.
• Work closely with data scientists and analysts to ensure AI solutions are effectively addressing business needs by leveraging high-quality data and aligning with strategic goals.
• Stay up to date with advancements in Software Engineering and AI, applying new techniques and methodologies, including the use of Angular/React for front-end development, to enhance the capabilities and efficiency of deployed solutions while also contributing to the team's knowledge base.
• Own end-to-end delivery of features, including data pipelines, models, APIs/services, and front-end UI.
• Use CI/CD tools and agile methodology to ensure fast and reliable delivery of features and updates.
• Play a Technical Leader / Mentor role for Squad members and influence the technical roadmap.

What you bring to the table:

• Bachelor’s degree in computer engineering, computer science, or any combination of equivalent education and experience.
• Minimum 6 years of significant experience in development.
• Strong in Python for backend development and proficient in front-end frameworks like Angular or React.
• Experience in backend development using FastAPI and proficiency in SQL.
• Proficient in AI-assisted coding, including tools like GitHub Copilot, Claude Code, and Kiro.
• Experience with automated testing on the backend and UI and familiarity with observability tools and practices.
• Proficiency with Cloud Infrastructure (ideally AWS), including services like Amazon S3, Snowflake, and BigQuery, and containerization technologies like Docker and Kubernetes, IaC (Terraform), CI/CD, and observability.
• Strong communication skills with the ability to translate business problems into technical solutions; proactive, change agent, and collaborative team player.
• Strong experience in using Git for version control, code review, and collaboration.
• Ability to make complex concepts easy to understand.
• Strong data engineering skills. Hands-on experience with Databricks technologies like Unity Catalog and Delta Lake is considered an asset.
• Good understanding of GenAI building blocks: prompting techniques, agentic frameworks, evals, guardrails, RAG, embeddings/vectorDBs, model fine-tuning, graphDB usage with LLMs, MCP, reasoning models.
• Knowledge of MLOps best practices would be an asset.
• For candidates located in Quebec, bilingualism (FR-EN) is required due to frequent collaboration with English-speaking colleagues across Canada.
• No Canadian work experience required however must be eligible to work in Canada.

#LI-Hybrid

Il s'agit d'un nouveau rôle au sein de notre équipe en pleine croissance | This role is a new member of our growing team.