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Tech Lead, AI Engineer (Applied​/Software), Software Engineer

Job in Levis, Québec, Province de Québec, Canada
Listing for: Maarut
Full Time position
Listed on 2026-07-31
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Engineer
Job Description & How to Apply Below
Location: Levis

Job Description

Project context:
The objective is to demonstrate the ability of distribution tools built on the Genesis platform (EIS) to interact with a large language model (LLM) or agentic AI in a real-world data collection context for generating insurance quotes. The targeted process is auto insurance quotes in Quebec for the Insurance brand.

Main responsibilities

  • Coach several teams in the application of technologies for developing business solutions and help them progress in order to improve delivery velocity.
  • Identify and prioritize development cycle optimization projects to support business strategies.
  • Ensure the analysis and development of software development lifecycle support products, including, if required, design, code, testing, and operations, while applying best practices in development, data, and security.
  • Define, in collaboration with the software architecture team, development methodologies, development patterns, and technology choices, and share them across the teams you lead.
  • Ensure the automation of testing for both functional and non-functional requirements (mastering associated methodologies; e.g., test pyramids, TDD, BDD, load/performance, security, etc.).
  • Represent the teams to various members of senior management and to internal/external partners and organizations.
  • Stay current on technological trends and development practices, and act as a mentor to development teams regarding technologies and best practices.
  • Establish frameworks, experiment with, and document technical solutions and practices to ensure the sustainability of development lifecycle support products. English level:
    Intermediate

Requirements

The following will be considered an asset:

  • Knowledge of AI concepts and tools
  • Knowledge of Genesis/Amber (software package from the EIS vendor)
  • Knowledge of DGAG (Auto solutions)

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