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Added 7 mins ago
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Technical Consultant (Data & AI)
Fastloop
Vancouver, BC
- Full-time
…of Data and AI. We leverage cutting-edge AI to build custom, production-grade systems for our clients. We move fast, learn faster, and believe grit beats polish every time. We ship real…
Added 8 mins ago
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Senior Process Automation & Controls Engineer
Worley
Calgary, AB
- Full-time
Support and maintain plant control systems, DCS platforms, Safety Instrumented Systems (SIS), HMI/SCADA applications, and associated industrial networks.
Added 8 mins ago
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Senior Process Automation & Controls Engineer
Worley
AB · Edmonton, AB
- Full-time
Support and maintain plant control systems, DCS platforms, Safety Instrumented Systems (SIS), HMI/SCADA applications, and associated industrial networks.
Added 8 mins ago
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Forward Deployed Engineer – AI, Data Engineering & MLOps / Toronto, ON (Onsite) - FTE
AceStack
Toronto, ON
- Full-time
We are seeking an experienced Forward Deployed Engineer with strong expertise in Python, PySpark, SQL, Claude, APIs, AI application development, and MLOps. The ideal candidate will work…
Added 11 mins ago
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Illumination Engineer
SYSTRA
Toronto, ON
- Full-time
We are seeking a skilled and motivated Intermediate Electrical & Illumination Engineer to support the design, development, analysis, and validation of street lighting systems. This role is…
Added 11 mins ago
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Manufacturing Engineer
AGI | Global Food Infrastructure
Swift Current No. 137, SK · Swift Current, SK
- Full-time
As a Manufacturing Engineer at AGI Swift Current, you will gain exposure to a broad spectrum of engineering work, including product design and development, manufacturing process…
Added 11 mins ago
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Technical Analyst (Quicksight, SQL and Redshift)
FCC / FAC
Regina, SK · FCC Tower
- Full-time
…technology process automation, and continuously improving existing systems. Your work will help streamline processes, enhance integration, and improve how technology supports FCC’s…
Added 21 mins ago
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Building Electrical Design Engineer
BPA
AB · Greater Edmonton Metropolitan Area
- Full-time
We are currently seeking an Intermediate or Senior Electrical Engineer to join our Electrical team in Calgary.
Added 21 mins ago
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Salesforce Marketing Cloud Lead Engineer
Diligente Technologies
Mississauga, ON
- Full-time
Role: Salesforce Lead Engineer – Marketing Cloud Advanced
Added 24 mins ago
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Field Service Technician - Specialty Rental - Acheson, Alberta, Canada
Atlas Copco
Acheson, AB
- Full-time
Our solutions are a key part of most industries - electronics, medical research, renewable energy, food production, infrastructure and many more. Working with us means working with the…
Added 26 mins ago
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Senior Engineer - Mining Products
AMI Attachments
ON · Hawkesville, Ontario
- Full-time
Job description Senior Engineer – Mining Products
Added 41 mins ago
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Lead Full Stack Software Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
Support production systems, troubleshoot complex issues, and lead efforts to improve reliability and performance.
Added 55 mins ago
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Production Support - Elite Quant Fund- Up to $180,000 CAD + Bonus
Hunter Bond
Montreal, QC
- Full-time
My client is hiring a Production Support Engineer to support mission-critical front office trading systems in a fast-paced, high-performance environment where uptime, speed, and reliability…
Added 56 mins ago
Automated Welding Specialist
BWXT
Cambridge, ON
Develop welding procedures and program robotic and automated welding systems for large nuclear components.
Added 1 hour ago
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Electrical & Controls Project Engineer
Artemis Gold - Blackwater Project
Vancouver, BC
- Other
Reporting to the Engineering Manager - Capital Projects the Electrical and Controls Project Engineer is responsible for design and overseeing the planning, execution, and commissioning of…
Added 1 hour ago
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Engineer – Mass Properties
Horizon Aircraft
Kawartha Lakes, ON · Lindsay, ON
- Full-time
We are seeking a highly motivated Engineer – Mass Properties to support the development, certification, and production of our next-generation aircraft program. The Mass Properties Engineer…
Added 1 hour ago
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Applied AI Engineer
Randstad Enterprise
Montreal, QC
- Contract
The Applied AI Engineer will work with business and technology teams to develop and implement Generative AI solutions. This is a hands-on engineering role focused on building prototypes,…
Added 1 hour ago
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Forward deployed Engineer
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $120,000 CAD / year
- Full-time
Good years of experience in Data Engineering, AI Application Development, Cloud Data Platforms, and Production-grade Software Engineering.
Added 1 hour ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Demonstrated experience in Data Engineering, AI Application Development, Cloud Data Platforms, and Production-grade Software Engineering, with a proven track record of delivering…
Added 1 hour ago
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Position: Research Engineer (M/F) specialising in data production, processing, analysis and surveys
LATTS - Laboratoire Techniques, Territoires et Sociétés
ON
- Full-time
Job title: Research Engineer (M/F) specialising in data production, processing, analysis and surveys
Added 1 hour ago
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Cloud Engineer - Early Career (Canada)
Jobright.ai
Canada
- Full-time
Jobright is your personal AI job search agent that transforms the way you do job search. They are seeking a Cloud Engineer to provision and manage cloud infrastructure, build CI/CD…
Added 1 hour ago
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Forward Deployed Engineer
Zodiac Solutions, Inc
Toronto, ON
- Full-time
10+ years of experience in Data Engineering, AI Application Development, Cloud Data Platforms, and Production-grade Software Engineering.
Added 1 hour ago
DevOps & Cloud Platform Intern (December 2026 to April 2027)
ProCogia
Vancouver, BC
…analytics, and consulting to design and deliver practical, production-ready solutions. We are actively advancing capabilities across generative AI, agentic systems, workflow automation, AI…
Added 1 hour ago
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Marketing Data Analytics Engineer (CA)
PointClickCare
Mississauga, ON
- Full-time
PointClickCare's Marketing organization is hiring a Marketing Data Analytics Engineer to build and maintain the data infrastructure behind marketing analytics and pipeline reporting. This…
Added 1 hour ago
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AI Automation Engineer
Outlier AI
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We seek candidates with 2 or more years of experience in backend engineering, AI automation, or integrating complex systems.

Randstad Enterprise

Applied AI Engineer

Montreal, QC, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 8, 2026
Posting language: English
Posted: Oct 9, 2026

Original job description

Job Title: Applied AI Engineer

Position Summary

The Applied AI Engineer will work with business and technology teams to develop and implement Generative AI solutions. This is a hands-on engineering role focused on building prototypes, implementing AI capabilities, integrating enterprise systems, and creating reusable components that accelerate delivery. The successful candidate will work with internal clients to understand use cases, develop practical solutions, and support application teams as they move AI capabilities toward production using enterprise AI platforms and services. The ideal candidate is a capable software engineer with practical experience building Generative AI applications, a willingness to learn emerging technologies, and the ability to collaborate effectively with business and technology partners.

Key Responsibilities

Work with business and technology stakeholders to understand Generative AI use cases and translate requirements into practical implementations.
Develop proofs of concept, prototypes, and reference applications that demonstrate business value and accelerate AI adoption.
Build and enhance AI-powered applications, copilots, assistants, and agentic workflows using Morgan Stanley’s enterprise AI platforms and services.
Implement Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge repositories, vector databases, embeddings, semantic search, and retrieval techniques.
Develop AI agents and orchestration workflows using frameworks such as LangGraph, LangChain, Semantic Kernel, Claude Code SDK, OpenAI SDK, or similar technologies.
Implement prompt engineering techniques, structured outputs, tool calling, context management, and workflow orchestration patterns.
Build APIs, connectors, and integrations between AI applications and enterprise systems, data platforms, and business workflows.
Create reusable components, templates, implementation patterns, and developer examples that help application teams deliver AI solutions more efficiently.
Develop automated tests and evaluation capabilities to measure solution quality, grounding, reliability, safety, and performance.
Troubleshoot implementation issues and support application teams as prototypes and reference solutions transition toward production.
Collaborate with firmwide AI platform teams to use foundational AI capabilities and follow enterprise engineering, security, governance, and Responsible AI standards.
Stay current with emerging AI technologies and apply relevant tools and techniques to business use cases.

Required Qualifications

3 to 5 years of software engineering experience with hands-on application development responsibilities.
1 to 3 years of practical experience developing Generative AI applications, AI assistants, AI agents, copilots, or intelligent automation solutions.
Proficiency in Python and experience building APIs, integrations, and enterprise applications.
Working knowledge of Large Language Models (LLMs), prompt engineering, embeddings, vector databases, semantic search, Retrieval-Augmented Generation (RAG), and common AI application patterns.
Hands-on experience with one or more AI development frameworks, such as LangGraph, LangChain, Claude Code SDK, OpenAI SDK, or similar technologies.
Familiarity with Model Context Protocol (MCP), AI gateways, agent-to-agent communication, or tool-calling frameworks.
Experience implementing AI agents, orchestration workflows, tool integrations, or agentic applications.
Experience building proofs of concept, prototypes, or reference implementations.
Experience integrating applications with enterprise systems, data platforms, and APIs.
Familiarity with automated testing and evaluation approaches for AI solution quality, safety, reliability, and performance.
Awareness of Responsible AI principles, AI governance, security controls, and enterprise data protection requirements.
Experience with GitHub, CI/CD pipelines, containers, and modern software engineering practices.
Familiarity with Azure or AWS services used to host and operate applications and AI workloads.
Ability to work with business stakeholders and application development teams to translate requirements into working software.
Strong communication, collaboration, and problem-solving skills.

Preferred Qualifications

Experience with Azure AI Foundry, AWS Bedrock, Anthropic Claude, OpenAI GPT models, SpaceX Grok Models, Gemini, or similar enterprise AI platforms.
Experience building RAG solutions, knowledge assistants, or AI-powered search capabilities.
Exposure to multi-agent systems and agent orchestration workflows.
Experience integrating applications with ServiceNow, Jira, Confluence, SharePoint, Microsoft Graph, Databricks, Snowflake, or similar enterprise platforms.
Familiarity with Kubernetes, containerized application deployment, and cloud-native architectures.
Experience working in financial services or another regulated industry.

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More about this job

Responsibilities

Develop and integrate Generative AI applications, copilots, agents, and RAG solutions using enterprise platforms, APIs, and business systems. Create reusable implementation components, test and evaluate solution quality and safety, and collaborate with stakeholders and platform teams to support prototypes as they move toward production.

Requirements

Requires 3–5 years of software engineering experience and 1–3 years of hands-on Generative AI application development, with proficiency in Python, APIs, AI frameworks, and common LLM and RAG patterns. Candidates should also have experience with agent workflows, enterprise integrations, testing and evaluation, cloud services, CI/CD, and awareness of Responsible AI, security, and governance.

Skills

Python
Generative AI
Large Language Models
Prompt Engineering
Retrieval-Augmented Generation
Vector Databases
Embeddings
Semantic Search
AI Agents
LangGraph
LangChain
API Development
Enterprise Integrations
Automated Testing
CI/CD
Cloud Services

Visa sponsorship

Not detected in the job text

Keywords

Python
Generative AI
Large Language Models
Prompt Engineering
Retrieval-Augmented Generation
Vector Databases
Embeddings
Semantic Search
LangGraph
LangChain
Semantic Kernel
Claude Code SDK
OpenAI SDK
Model Context Protocol
AI Gateways
Agent-to-Agent Communication
Tool Calling
AI Agents
Agent Orchestration
APIs
Enterprise Integrations
Automated Testing
AI Evaluation
Responsible AI
AI Governance
GitHub
CI/CD
Containers
Azure
AWS

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