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Ai Engineer Contract Jobs in Quebec (NOW HIRING)

Xsolla

Principal Engineer - DevX & AI

Montreal, QC

You define how developers and AI agents interact with Shop Builder's foundational capabilities: UI ... Define the interface contracts that LLMs and developers interact with - React component APIs ...

Xsolla

Lead AI/ML Engineer

Montreal, QC

CA$130K - CA$160K/yr

Familiarity with data contracts and feature stores (Feast, Tecton, or custom-built). * Experience ... For the Lead AI/ML Engineer we will conduct a background check that may include the following:

PCL Construction

Contracts Manager

Montreal, QC · On-site

Responsibilities Review contract and subcontracting documents to ensure proper execution, in ... Qualifications Advanced degree in engineering or related discipline, or professional experience, or ...

Flatgigs

Senior Systems Engineer

Montreal, QC

We are looking for a foundational engineer to work directly with leadership in defining system ... contracts 2. Translate business needs into scalable and efficient technical systems. 3. Use AI ...

Flatgigs

Senior Systems Engineer

Montreal, QC · On-site

We are looking for a foundational engineer to work directly with leadership in defining system ... contracts 2. Translate business needs into scalable and efficient technical systems. 3. Use AI ...

AppDirect

Senior Data Engineer

Montreal, QC · On-site

... contracts, and leaving patterns others can reuse. What You'll Do and How You'll Make an Impact ... AI-Assisted Operations: Apply AI-assisted development tools and spec-driven workflows to design ...

Intact Financial

SRE specialist

Montreal, QC · Hybrid

Integrate synthetics, contract tests, and distributed tracing. AutoHealing & Reliability Tooling ... AI for Reliability * Use AI for causal detection/anomalies to cut MTTR. * Develop reliability ...

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Ai Engineer Contract information

What is the difference between Ai Engineer Contract vs Data Scientist Contract?

AspectAi Engineer ContractData Scientist Contract
Required CredentialsBachelor's or higher in CS, AI, or related fields; experience with ML frameworksBachelor's or higher in CS, Statistics, or related fields; experience with data analysis tools
Work EnvironmentTech companies, AI startups, R&D labsBusiness, finance, healthcare, and tech sectors
Employer & Industry UsagePrimarily in AI-focused roles across various industriesAcross industries for data analysis and insights

While both roles involve working with data and algorithms, Ai Engineer Contract focuses on developing AI models and systems, whereas Data Scientist Contract emphasizes analyzing data to derive insights. The roles often overlap but differ mainly in their core responsibilities and technical focus.

What are some common challenges AI engineers face when working on contract projects?

AI Engineers working on contract projects often encounter challenges like quickly adapting to new codebases and company processes, aligning with client expectations, and managing project scope within set timelines. Since contractors may have limited onboarding time, effective communication and time management are crucial for integrating with existing teams. Additionally, ensuring the transfer of knowledge and documentation at project completion is vital for long-term success and client satisfaction.

What are the key skills and qualifications needed to thrive as an AI engineer contract, and why are they important?

To thrive as an AI Engineer (Contract), you need strong expertise in programming languages (such as Python or Java), machine learning algorithms, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms, and version control systems is typically required, along with certifications in AI or machine learning being advantageous. Outstanding problem-solving skills, adaptability, and effective communication set top-performing contract AI engineers apart. These skills ensure efficient project delivery, seamless integration with teams, and the ability to develop innovative AI solutions that meet client needs.

What are AI engineer contracts?

AI Engineer contracts are agreements between companies and artificial intelligence engineers who work on a temporary or project basis to develop, implement, or maintain AI technologies. Contractors may be hired for specific projects like building machine learning models, automating processes, or integrating AI solutions into existing systems. Unlike full-time employees, contract AI engineers often work on a freelance or fixed-term basis, offering flexibility for both the employer and the engineer. These contracts typically outline the scope of work, duration, payment terms, and deliverables. Companies often use AI Engineer contracts to quickly access specialized skills without long-term commitments.
What are the most commonly searched types of Ai Engineer jobs in Quebec? The most popular types of Ai Engineer jobs in Quebec are:
What job categories do people searching Ai Engineer Contract jobs in Quebec look for? The top searched job categories for Ai Engineer Contract jobs in Quebec are:
What cities in Quebec are hiring for Ai Engineer Contract jobs? Cities in Quebec with the most Ai Engineer Contract job openings:
Ai Engineer Contract jobs near you
Infographic showing various Ai Engineer Contract job openings in Quebec as of August 2026, with employment types broken down into 38% Full Time, 9% Temporary, and 53% Contract. Highlights an 87% In-person, and 13% Remote job distribution.

Senior Applied AI Engineer

Giesecke+Devrient

Montreal, QC • On-site

Full-time

Re-posted yesterday

Job description

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 

$$ 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 careers.gdsci@gi-de.com 

 $$  $$ $$ $$  $$ https://career5.successfactors.eu/career?company=gieseckede&career_job_req_id=27433&career_ns=job_application

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