Intermediate AI Engineer
- Winnipeg, MB, Canada
$90,000 to $120,000 CAD / year · Full-time
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Job details
- Pay
- $90,000 to $120,000 CAD / year
- Job type
- Full-time
- Apply by
- Experience
- 3-5 years of experience in AI, machine learning, agentic AI, and workflow automation.
- Posting language
- English
- Posted
Original job description
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.
More about this job
Responsibilities
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.
Skills
- 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
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Data & Analytics
- Manufacturing
- Engineering
Keywords
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Generative AI
- Agentic AI
- AI Agents
- Workflow Automation
- Intelligent Workflows
- Azure OpenAI
- Azure AI Studio
- LangChain
- LangGraph
- APIs
- Enterprise Systems
- System Integration
- Data Sources
- Proof Of Concept
- Production Deployment
- Model Evaluation
- Model Monitoring
- Model Optimization
- AI Governance
- AI Security
- Responsible AI
- Industrial Sector
- Manufacturing
- Cross-Functional Teams