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Technical Lead, Software Development, AI Engineer (Applied​/Software)

Job in Quebec, Québec, Province de Québec, Canada
Listing for: Sitel Corp.
Full Time position
Listed on 2026-09-14
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Backend Developer, Machine Learning/ ML Engineer, Full Stack Developer
Salary/Wage Range or Industry Benchmark: 120000 - 180000 CAD Yearly CAD 120000.00 180000.00 YEAR
Job Description & How to Apply Below
Location: Quebec

Foundever™ is a global leader in the customer experience (CX) industry. With 130,000 associates across the globe, we are the team behind the best experiences for +750 of the world’s leading and digital-first brands. Our innovative CX solutions, technology, andexpertiseare designed to support operational needs for our clients and deliver a seamless experience to customers in the moments that matter.

We are looking for atechnical leadto join our team and drive the development ofour AI-driven applications.

Job Summary

Weare seeking a Lead Engineer with a strong AI/ML engineering focus to join our growing AI team. You will design, build, and deploy production-grade AI-driven applications — from intelligent agentsto RAG integrations into productivity SaaS tooptimizedheadless services andDataBases. Working closely with machine learning engineers, cloud engineers, product managers, and UX/UI designers, you will bring AISaaSfrom prototype to production, ensuring our applications are robust, performant, and secure.

This role requires strong programming skills in Python (FastAPI), hands-on experience with AI/LLMresponse API, MCP tool calling, and practical knowledge of working with large language models. You should be comfortable working in a fast-paced, agile environment where priorities mayshift, andbe willing to own problems end-to-end.

Primary

Job Responsibilities

Lead a diverse, inclusive, high-performing engineering team

Build systems and tools that increase our deployment velocity and help develop our technical roadmap and prioritization

Contribute meaningful amounts ofclean, efficient, tested, and scalable code

Ensure projects are on track, your team isutilizedeffectively, and core engineering needs are continuously addressed

Communicate well with other engineering or product teams, take responsibility in broadcasting information internally (documentation) or externally (all hands, demos)

Collaborating withdata, ML, andDev Ops engineers

Build andoptimizeRAG (Retrieval-Augmented Generation) pipelines for intelligent document retrieval and conversational AI

Develop and integrate agentic workflows using

Lang Graphand Lang Chainfor  multi-step reasoning and tool use

Integrate and orchestrate large language models (Claude, OpenAI GPT) into production systems, including prompt engineering, model selection, and output evaluation

Develop scalable, well-documented RESTful APIs for seamless front-end and back-end communication

Collaborating with UX/UI designers in Figma

Ensuring the security and performance of the application’s server-side logic

Troubleshooting and debugging issues tooptimizethe application's functionality

Developing APIs for seamless front-end–back-end communication

Keepingup-to-datewith industry trends and emerging technologies

Monitoring application performance and usage

Keeping up-to-date with industry trends and emerging technologies

Monitoring application performance and usage

Experience:

Provenexpertiseinscalableweb application with modern frameworks

Used to work in an Agile environment

Skills/Abilities/Knowledge

Strong programming skills in Python

Proficiency in one or more back-end frameworks:
Fast API

Proficient in Vue.

JS (preferred) or React

Experience with Gitand its CI/CD tools

A continuous learning mindset to stayup-to-datewith evolving weband cloud technologies

Strong knowledge of database management systems (e.g., MySQL, PostgreSQL, and MongoDB)

Understanding of server-side architecture and RESTful APIs

Troubleshooting and debugging skills

Familiarity with cloud computing platforms (e.g., AWS and Azure)

Familiarity with security best practices

Familiarity with Machine Learning model training and inference, especially LLMs

Familiarity withagenticworkflows and automation

  • Familiarity with Machine Learning…
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