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Added 10 mins ago
Associate Technical Services Engineer II
MongoDB
Toronto, ON
…Manager, Compass, and related services. Engineers work directly with customers to understand complex technical challenges, identify root causes, and provide practical solutions for…
Added 10 mins ago
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Senior Staff Developer
Benevity
Remote, Canada
- $137,800 to $179,080 CAD / year
- Full-time
- Remote
As a DevEX Senior Staff Developer at Benevity, you will lead Developer Experience and SDLC modernization across our technology organization. Sitting at the intersection of hands-on platform…
Added 10 mins ago
B
Senior Staff Developer
Benevity
Remote, Canada
- Full-time
- Remote
As a DevEX Senior Staff Developer at Benevity, you will lead Developer Experience and SDLC modernization across our technology organization. Sitting at the intersection of hands-on platform…
Added 10 mins ago
S
Software Engineer, Streaming Platform
Sentry
Remote, Canada
- $163,000 to $200,000 CAD / year
- Full-time
- Remote
…and distributes hundreds of thousands of events per second with low latency and high reliability. We are creating a system that makes it easy for Sentry engineers to deploy and run…
Added 10 mins ago
RB
Lead Full Stack Developer
Royal Bank of Canada
Toronto, ON
- Full-time
Coding experience in Python; including experience with libraries such as Pandas or NumPy for data manipulation and visualization.
Added 10 mins ago
RB
Director, DevOps Regulatory Engineering
Royal Bank of Canada
Toronto, ON
- Full-time
Strong engineering background in CI/CD, DevOps tooling and cloud platforms, with hands-on experience in Java and Python
Added 10 mins ago
R
Staff Data Scientist, AI Evaluations Platform
RBC
Montreal, QC
- Full-time
…that help AI systems move from experimentation to production with evidence and control, while providing technical guidance and mentorship to other data scientists on the…
Added 23 mins ago
CL
Senior Cloud DevOps Engineer
Charger Logistics Inc.
Brampton, ON
- Full-time
Strong Python programming with PowerShell/Bash experience.
Added 25 mins ago
MW
Firmware Developer III
Mueller Water Products
Toronto, ON
- Full-time
Our purpose is to connect communities to water, life’s most essential resource, with exceptional, people solutions and products. Behind that purpose is a dedicated team, united by our…
Added 25 mins ago
Manager, Analytics & Process Innovation
MCAP
Toronto, ON
…develop practical technical and analytical solutions using SQL, Python, machine learning, and data integration technologies. The role is accountable for implementing and continuously…
Added 39 mins ago
IG
Machine Learning Engineer
IMCS Group
ON · Ontario, Canada
- Contract
The ideal candidate should have hands-on experience with AWS SageMaker, SageMaker Feature Store, MLOps frameworks, and Python development. The resource will be responsible for designing and…
Added 39 mins ago
S
Application Developer
Systematix
Toronto, ON
- Contract
We are Systematix and we are currently seeking an intermediate level Developer with expertise in either Java or Python, or both, for one of our Financial Services clients. This role is…
Added 41 mins ago
EC
Ingénieur(e) en réseaux de puissance / Power Systems Engineer
Eaton Corporation
Brossard, QC
- Full-time
Connaissance de Python, y compris une maîtrise de l'analyse et de la manipulation de données à l'aide de bibliothèques telles que Pandas, NumPy et Matplotlib.
Added 54 mins ago
HR
Software Analyst Intern (Winter 2027, 8-12months)
Hitachi Rail
Toronto, ON
- $23 to $30 CAD / hour
- Full-time
A career at Hitachi Rail will help create a legacy. With operations in every corner of the world, our work goes to the cutting-edge of digital transformation and technology. From the…
Added 54 mins ago
R
Staff Data Scientist, AI Evaluations Platform- EN
RBC
Montreal, QC
- Full-time
…that help AI systems move from experimentation to production with evidence and control, while providing technical guidance and mentorship to other data scientists on the…
Added 54 mins ago
IW
Business Systems Analyst & Developer - Data, AI & Agentic Automation
Innotech Windows + Doors
Langley (District), BC · Langley, BC
- Full-time
The Business Systems Analyst & Developer turns business needs into practical data, automation, and AI solutions, and builds them to production standards. The role combines business…
Added 56 mins ago
Senior Manager, Data Initiatives
Scotiabank
Toronto, ON
5 + years of experience with data management tools and various query and processing languages (SQL, Python, ETL)
Added 56 mins 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 56 mins ago
Data Scientist
Upshop
Mississauga, ON
…optimization models. In this role, model development goes hand-in-hand with operational reliability: success is measured by accurate forecasts and stable, low-latency, deterministic…
Added 56 mins ago
Specialist Systems, IT
City of Mississauga
Mississauga, ON
Vacancy Type: Temporary for 2 years with full benefits
Added 1 hour ago
M(
[C] Full Stack Developer
MLSE (Maple Leaf Sports & Entertainment Partnership)
Toronto, ON · Scotiabank Arena
- Part-time
MLSE Sport Performance Lab is seeking a Full Stack Developer to join our team. This individual will play a key role in developing and maintaining team coaching applications across multiple…
Added 1 hour 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 1 hour ago
A
Finance Transformation Senior Manager
Accenture
Toronto, ON · Ottawa, ON · Montreal, QC · Vancouver, BC · Calgary, AB
- Full-time
You've worked with modern Finance technologies across ERP, EPM, analytics, AI, and data platforms, including SAP, Oracle, Workday, SAC, Anaplan, OneStream, Tableau, Power BI, Python, or…
Added 1 hour ago
FD
AI Engineer
Frontier Dental CA
Markham, ON
- Full-time
Partner with cross-functional teams to identify workflow inefficiencies and automation opportunities
Added 1 hour ago
CO
Specialist Systems, IT
City of Mississauga
Mississauga, ON
- Full-time
Vacancy Type: Temporary for 2 years with full benefits

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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