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Added 15 days ago
RB
Director, DevOps Regulatory Engineering
Royal Bank of Canada
Toronto, ON
- Full-time
Translate regulatory, risk and security requirements into automated controls in CI/CD and developer tooling
Added 15 days ago
CL
Senior Cloud DevOps Engineer
Charger Logistics Inc.
Brampton, ON
- Full-time
The Senior Cloud DevOps Engineer will design and implement enterprise-scale cloud infrastructure, drive automation strategies, and mentor engineering teams while architecting…
Added 15 days ago
IG
Machine Learning Engineer
IMCS Group
ON · Ontario, Canada
- Contract
We are looking for a highly experienced Senior AWS SageMaker / MLOps Engineer with 6+ years of overall IT experience and strong expertise in building, deploying, and operationalizing…
Added 15 days ago
SL
Principal Software Engineer, MarTech Platforms & Digital Enablement
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
- Full-time
Strong hands-on experience with: Java / Spring Boot / Python JavaScript / TypeScript APIs and Microservices Docker and Kubernetes
Added 15 days ago
Specialist Systems, IT
City of Mississauga
Mississauga, ON
Develop automation and integrations using PowerShell, Python, YAML, REST APIs and related technologies.
Added 15 days ago
M
Software Developer, Robotic Data & Deliveries
Mecka
Richmond Hill, ON
- $150,000 to $200,000 USD / year
- Full-time
We are hiring a Software Developer to build - end to end - the internal products and tooling that turn Mecka’s ego-data pipeline into fast, reliable, at-spec dataset deliveries to frontier…
Added 15 days ago
FD
AI Engineer
Frontier Dental CA
Markham, ON
- Full-time
We’re seeking an AI Engineer to help shape the future of Frontier Dental through practical AI adoption and business automation.
Added 15 days ago
CO
Specialist Systems, IT
City of Mississauga
Mississauga, ON
- Full-time
Develop automation and integrations using PowerShell, Python, YAML, REST APIs and related technologies.
Added 15 days ago
SL
Principal Software Engineer, MarTech Platforms & Digital Enablement
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
- Full-time
Strong hands-on experience with: Java / Spring Boot / Python JavaScript / TypeScript APIs and Microservices Docker and Kubernetes
Added 15 days ago
SR
Senior Software Engineer
Sage Recruiting Inc.
Toronto, ON
- $180,000 to $220,000 CAD / year
- Full-time
…could also mix in some ETL work or work on their RAG engine in Python if that’s of interest. There’s room to carve out the lane that fits you…
Added 15 days ago
VC
Staff Software Engineer
Valsoft Corporation
Remote, Canada
- Full-time
- Remote
We're hiring a Staff Software Engineer to own architecture and design decisions for our platform, including the modernization of legacy enterprise systems into modern, cloud-capable…
Added 15 days ago
WT
Data Engineer
Wissen Technology
Montreal, QC
- Full-time
We are looking for a Data Engineer with strong backend engineering fundamentals and hands‑on experience building scalable, high‑performance data pipelines. The ideal candidate comes from a…
Added 15 days ago
V
Python Software Engineer
Varonis
Vancouver, BC · Greater Vancouver, BC
- Full-time
Senior Software Engineer – Secure AI Platform (Vancouver, On-Site)
Added 15 days ago
Senior Data Engineer
Scotiabank
Toronto, ON
As a Senior Data Engineer within the Data & AI Technology team, you will play a critical leadership role in designing, building, and scaling enterprise grade data platforms. You will…
Added 15 days ago
SL
Data Engineer
Staffingine LLC
Toronto, ON
- Contract
We are looking for an experienced Data Engineer with strong hands-on expertise in Databricks, Azure database technologies, Oracle, and Python. The ideal candidate should have experience…
Added 15 days ago
Product Security Engineer
Asana
Vancouver, BC
We're looking for a Product Security Engineer to join our Product Security team in Vancouver. You'll be a key member of our security engineering team, partnering directly with product and…
Added 15 days ago
F
Technical Consultant (Data & AI)
Fastloop
Vancouver, BC
- Full-time
You aren’t just a “Data Engineer” or a “Software Engineer”; you are the “connective tissue” of modern intelligence. You will be responsible for the programmatic development of Agentic…
Added 15 days ago
LS
Quality Assurance Engineer
LeverageTek Staffing Solutions
Canada
- Temporary
LeverageTek is actively seeking a Senior QA Automation Engineer (Azure Cloud) for a permanent full-time position with its Ottawa-based customer.
Added 15 days ago
A
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 15 days ago
M
Back-End Software Engineer
Manulife
Toronto, ON
- Full-time
As a Back-end Software Engineer within Group Functions Technology, you will be a key member building technology which supports our global operations. The ideal candidate has a curious mind,…
Added 15 days ago
TI
CyberSecurity Specialist
Themesoft Inc.
Toronto, ON · North York, ON
- Contract
Strong development skills in Python (most important), along with Java, Node.js, Go, and C/C++
Added 15 days ago
RE
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 15 days ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $120,000 CAD / year
- Full-time
Strong hands-on expertise in Python, PySpark, SQL, REST APIs, FastAPI, and enterprise application integration.
Added 15 days ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Strong hands-on expertise in Python, PySpark, SQL, REST APIs, Fast API, and enterprise application integration.
Added 15 days ago
DevOps & Cloud Platform Intern (December 2026 to April 2027)
ProCogia
Vancouver, BC
…infrastructure. You will work alongside our Cloud Platform Engineer on real engineering initiatives and learn how modern environments are designed, deployed, operated, and improved. You…

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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