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Intermediate AI Engineer

  • Winnipeg, MB
  • On-site
  • Posted Oct 15, 2026
  • 1 position

$90,000–$120,000 / year

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Employment type
Full-time
Experience level
Mid-level · 2+ years
Minimum education
Bachelor’s degree
Apply by
Oct 28, 2026
Posting language
English
Working hours
40 hours per week
Seniority
Not Applicable

Job summary

Design, develop, and deploy AI applications, models, agents, and workflow automations, integrating them with enterprise systems, APIs, and data sources. Collaborate with business stakeholders and cross-functional teams to deliver solutions, optimize model performance and reliability, document technical designs, and recommend relevant emerging technologies.

Job details

As an Intermediate AI Engineer, you will develop and implement AI-driven solutions to enhance processes and systems within the industrial and manufacturing sector. Your role will focus on creating machine learning models, analyzing complex datasets, and collaborating with cross-functional teams to deliver impactful results. Client Details A company in the industrial and manufacturing sector located in Winnipeg. Description Design, develop, and deploy AI applications, from proof of concept through production. Build ML, deep learning, and generative AI models to solve specific business problems. Develop AI agents and intelligent workflow automations that orchestrate tools, APIs, and decision logic. Integrate AI solutions with enterprise systems, applications, APIs, and data sources. Partner with business stakeholders to translate requirements into technical solutions. Evaluate, monitor, and optimize models and applications for performance, reliability, and scalability. Document technical designs and contribute to AI development standards and best practices. Track emerging AI technologies and recommend solutions aligned with business objectives. MPI does not discriminate on the basis of race, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, or based on an individual's status in any group or class otherwise protected under applicable human rights legislation. MPI encourages applications from minorities, women, the disabled and all other qualified applicants. Profile Bachelor's degree in Computer Science, Software Engineering, Information Technology, Data Science, or a related field. 3-5 years of experience in AI, machine learning, agentic AI, and workflow automation. Experience developing applications, APIs, and system integrations. Strong analytical, problem-solving, and communication skills. Ability to manage multiple initiatives and work effectively across cross-functional teams. Knowledge of AI governance, security, and responsible AI practices. Job Offer * Opportunity to build and deploy cutting-edge AI applications, agents, and automation solutions that create measurable business impact. * Exposure to modern AI technologies including Azure OpenAI, Azure AI Studio, LangChain, LangGraph, and advanced generative AI tools. MPI does not discriminate on the basis of race, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, or based on an individual's status in any group or class otherwise protected under applicable human rights legislation. MPI encourages applications from minorities, women, the disabled and all other qualified applicants

What you’ll do

Design, develop, and deploy AI applications, models, agents, and workflow automations, integrating them with enterprise systems, APIs, and data sources. Collaborate with business stakeholders and cross-functional teams to deliver solutions, optimize model performance and reliability, document technical designs, and recommend relevant emerging technologies.

Requirements

A bachelor's degree in computer science, software engineering, information technology, data science, or a related field is required, along with 3–5 years of experience in AI, machine learning, agentic AI, and workflow automation. Candidates should have experience developing applications, APIs, and integrations, strong analytical, problem-solving, and communication skills, and knowledge of AI governance, security, and responsible AI practices.

Listed skills

  • Data analysis · Preferred
  • Machine learning · Preferred
  • Workflow Automation · Preferred
  • Cross-Functional Collaboration · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Artificial Intelligence
  • Machine Learning
  • Deep Learning
  • Generative AI
  • Agentic AI
  • Workflow Automation
  • AI Application Development
  • API Development
  • System Integration
  • Data Analysis
  • Model Evaluation
  • Model Monitoring
  • AI Governance
  • AI Security
  • Responsible AI
  • Cross-Functional Collaboration

Job areas

  • Technology
  • Software
  • Data & Analytics
  • Manufacturing
  • Engineering

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