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Added 26 mins ago
S
Electrical Engineer
SYSTRA
Montreal, QC
- Full-time
…within the Co-Development Phase of the ALTO programme, the Engineer will provide design services, coordination and delivery of their work discipline work package for their respective…
Added 26 mins ago
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FPGA AI Accelerator Engineer
O-HIVE.AI
Windsor, ON
- Full-time
…detection, and VLM inference into an energy-efficient semiconductor…
Added 56 mins ago
ES
Senior Business Analyst
EPAM Systems
Toronto, ON
- Full-time
As an EPAM Systems, Inc. (NYSE: EPAM) company, a leading global provider of digital platform engineering and development services, we deliver advanced financial services solutions by…
Added 1 hour ago
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AI Engineer
Digital Era Management & Technology Inc
Toronto, ON · Greater Toronto and Hamilton Area, ON
- Contract
We are looking for an AI engineer for a short term contract (3 months, may be extended). The job will be to build agentic workflows that enhance current business processes.
Added 1 hour ago
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Staff Software Engineer - Full-Stack, Solution Architecture
Blazesoft
Concord, ON
- Full-time
We are building an AI-centric engineering platform where brands operate as self-reliant, B2B-style customers. You will own product features end-to-end across the full stack - leveraging AI…
Added 2 hours ago
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Technical Specifications Coordinator
SYSTRA
Montreal, QC
- Full-time
Professional Engineer (P.Eng.), Registered Architect, CSC certification, or eligibility considered an asset
Added 4 hours ago
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Sr. Software Development Engineer / Principal, Software Development Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
As either a Senior Software Development Engineer or a Principal Software Development Engineer on the AI Model Serving team, you will be a technical leader who helps shape the vision and…
Added 5 hours ago
C
Engineering Manager, Product
Clarity
Remote, Canada
- $165,000 to $275,000 CAD / year
- Full-time
- Remote
Clarity is redefining how private companies and their shareholders access liquidity. Through its institutional-grade platform, Clarity brings together buyers, sellers, and issuers to…
Added 6 hours ago
ES
Senior Java Engineer
EPAM Systems
Toronto, ON
- Full-time
Join EPAM to engineer solutions that matter. From AI to cloud transformation, you'll collaborate with top-tier innovators, gain autonomy to explore your ideas, and grow your skills in a…
Added 6 hours ago
Senior High Voltage Design Engineer, Substations
IREN
Vancouver, BC
…for AI training and inference. IREN's vertically integrated platform is underpinned by its expansive portfolio of grid-connected land and data centers in renewable-rich regions across the…
Added 7 hours ago
A
Devops Engineer
Actalent
Saskatoon, SK
- $55 to $65 CAD / hour
- Contract
…three scrum teams located in Ottawa and Calgary. As a DevOps Engineer, you will provide senior AWS expertise, facilitating the transition from on-premises infrastructure to AWS. This role…
Added 7 hours ago
A
Devops Engineer
Actalent
Montreal, QC
- $55 to $65 CAD / hour
- Contract
…three scrum teams located in Ottawa and Calgary. As a DevOps Engineer, you will provide senior AWS expertise, facilitating the transition from on-premises infrastructure to AWS. This role…
Added 7 hours ago
A
QA/QC Apecialist
Actalent
Burnaby, BC
- $35 to $45 CAD / hour
- Contract
At least 2 years of experience in a Quality Specialist, Quality Assurance Engineer, or Supplier Quality role, or equivalent experience as an advanced engineering co-op student with strong…
Added 7 hours ago
A
Devops Engineer
Actalent
Ottawa, ON
- $55 to $65 CAD / hour
- Contract
…three scrum teams located in Ottawa and Calgary. As a DevOps Engineer, you will provide senior AWS expertise, facilitating the transition from on-premises infrastructure to AWS. This role…
Added 7 hours ago
A
Devops Engineer
Actalent
Calgary, AB
- $55 to $65 CAD / hour
- Contract
…three scrum teams located in Ottawa and Calgary. As a DevOps Engineer, you will provide senior AWS expertise, facilitating the transition from on-premises infrastructure to AWS. This role…
Added 7 hours ago
R
Principal Engineer, Cyber Technology Operations SRE (Global Security)
RBC
Vancouver, BC · Toronto, ON
- Full-time
…to move at a faster pace being more prevalent, the Principal Engineer, Cyber Technology Operations SRE will ensure that security technologies, services and controls are streamlined,…
Added 8 hours ago
AC
D365 F&O Functional Analyst
Aston Carter
Richmond, BC
- Full-time
…continuous improvement of the Dynamics 365 Finance & Operations platform. This role manages system security, licensing, upgrades, and overall environment health, while configuring and…
Added 9 hours ago
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Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Program Leadership: Demonstrated ability to lead payments modernization, transformation, operating model, or platform rationalization programs.1
Added 9 hours ago
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Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Program Leadership: Demonstrated ability to lead payments modernization, transformation, operating model, or platform rationalization programs.1
Added 9 hours ago
A
Principal Software Developer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
We are looking for a Principal Software Engineer to help lead the architecture, execution, and operational excellence of this platform. This is a senior individual contributor role for an…
Added 11 hours ago
ED
Sr Software Developer (Lead) - EN 178
Export Development Canada | Exportation et développement Canada
Vancouver, BC
- $96,557 to $128,743 CAD / year
- Full-time
To better position ourselves for success, the Digital Business Platforms group is seeking a Sr Software Engineer to implement the strategic technology vision by building an effective…
Added 11 hours ago
M
Software Engineer, Full Stack
MetAntz
Vancouver, BC
- Full-time
Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee,…
Added 11 hours ago
SI
Building Maintenance Mechanic
Saputo Inc.
Mississauga, ON
- Full-time
…bridge between business users and the enterprise analytics platform, ensuring business questions are translated into clear, accurate, and performant analytical…
Added 12 hours ago
V
Senior Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
…Salesforce technologies, particularly Apex, LWC, and the Salesforce platform. The ideal candidate will have a strong background in implementing Experience Cloud solutions, Case Management,…
Added 12 hours ago
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Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Program Leadership: Demonstrated ability to lead payments modernization, transformation, operating model, or platform rationalization programs.1

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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