Overview

Senior Applied AI Engineer Jobs in Montréal at Giesecke+Devrient

G+D makes the lives of billions of people around the world more secure. We create trust in the digital age with integrated security technologies in three business areas: Digital Security, Financial Platforms and Currency Technology. We have been a reliable partner for our customers for over 170 years with our innovative solutions for SecurityTech! We are an international technology group and traditional family business with over 14,000 employees in 40 countries. Creating Confidence is our path to success. Trust is the basis of our co-operation within G+D.

At Payment Technology, our mission is to be at the start of every transaction and to make it secure and simple. We also create contemporary payment and banking solutions for our digital age. As a one-stop shop, we produce and personalise hundreds of millions of payment cards every year and store their "digital twins" – mobile and digital. Would you like to actively shape the digital transformation with us?

Compensation: $130,000 – 150,000 plus up to $20,000 bonus, capped at 150%

Job Summary

Giesecke+Devrient is a globally leading SecurityTech company. We are seeking a highly technical and execution-focused Senior Applied AI Engineer to join G+D’s new AI Hub.

The ideal candidate will combine deep expertise in Generative AI systems engineering with strong Python software engineering capabilities and the ability to translate complex enterprise challenges into scalable AI solutions that deliver measurable impact.

This role is focused exclusively on Generative AI engineering and agentic systems, including single-agent and multi-agent architectures, RAG, Graph RAG, advanced evaluation frameworks, guardrails, and production observability.

Primary Responsibilities

  • Own GenAI initiatives end-to-end from problem framing through production deployment and continuous monitoring
  • Design, develop, and deploy single-agent and multi-agent systems
  • Build production-grade RAG and Graph RAG architectures
  • Develop enterprise-grade AI assistants, copilots, and workflow agents
  • Design orchestration and handoff patterns across multi-agent workflows
  • Implement hallucination mitigation and response validation strategies
  • Build evaluation frameworks, guardrails, tracing, and production monitoring
  • Other duties as assigned

Qualifications, Experience and Educational Requirements

Work Experience:

  • Three (3)+ years of hands-on experience in Generative AI engineering, LLM systems, or Applied AI since 2022 onward, with proven experience delivering production-grade GenAI solutions
  • Five (5)+ years of prior experience in Python software engineering, backend engineering, platform engineering, or related software development roles
  • Proven track record of building and deploying production systems, APIs, workflow orchestration services, or distributed applications prior to working in GenAI

Skills and Competencies:

  • Strong expertise in LLM systems engineering, prompt engineering, RAG, Graph RAG, agent orchestration, multi-agent systems, observability, hallucination mitigation, and MCP
  • Strong Python software engineering skills
  • Hands-on experience with Python, FastAPI / Flask, async workflows, APIs, testing frameworks, and CI/CD
  • Hands-on experience with LangChain, LangGraph, CrewAI, OpenAI APIs, vector and graph databases
  • Experience working in specification-first, contract-driven, or Spec-Driven Development (SDD) environments is considered a strong asset

Education:

  • Master’s degree or Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, or related field preferred

Additional Information

  • This job description is not intended to be all inclusive. The candidate hired will also perform other reasonable related business duties as assigned by the supervisor. The company reserves the right to revise or change job duties as needed. This job description does not constitute a written or implied contract of employment. By applying to this position, you are confirming you possess either a Canadian citizenship, permanent resident status or valid work permit. Please note: Reference Checks and Credit, Criminal Background Checks will be administered on suitably qualified candidates. Your application will be kept on file for up to two years

A look behind the scenes

Job offer

Job Details

  • Job Title

    Senior Applied AI Engineer

    Business Sector

    Giesecke+Devrient ePayments Canada, Inc.

    Markham

    Ontario

    Requisition ID

    27433

  • Location

    • Montreal, QC, CA

    Career level

    Experienced and Graduates

    Job Type

    Fulltime, Permanent

Giesecke+Devrient ePayments Canada, Inc. is an equal opportunity employer and values diversity in its workforce, encouraging applications from all qualified individuals. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you would like to contact us, please contact Human Resources at [email protected]

Title: Senior Applied AI Engineer

Company: Giesecke+Devrient

Location: Montréal

 

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