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Added 22 days ago
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Analytics Engineer - Consultant or Senior Consultant
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Analytics Engineer - Consultant or Senior Consultant - Vacant Role
Added 22 days ago
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Python Java Sr Software Engineer -Montreal
RELX
Montreal, QC · Canada - Montreal (St. Laurent)
- Full-time
Beyond Python and Java experience, we work with the following technologies regularly: Confluent Kafka, Kubernetes, Linked-Data/RDF/JSON-LD, Databricks, Terraform, Github Actions, Apache…
Added 22 days ago
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Python Java Sr Software Engineer -Montreal
Elsevier
Montreal, QC · Canada - Montreal (St. Laurent)
- Full-time
Beyond Python and Java experience, we work with the following technologies regularly: Confluent Kafka, Kubernetes, Linked-Data/RDF/JSON-LD, Databricks, Terraform, Github Actions, Apache…
Added 22 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 22 days ago
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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 22 days 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 22 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 22 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 22 days ago
TD
Robotics QA Automation Engineer
TELUS Digital
Canada
- Full-time
Strong programming skills (Python preferred) for building and integrating orchestration pipelines.
Added 22 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…
Added 22 days ago
VS
Product Verification and Validation Engineer
VIAVI Solutions
Ottawa, ON
- Full-time
We are looking for a highly versatile and self-driven Verification & Validation (VnV) Engineer to join our Test Engineering Group / Verification & Validation. This role covers a broad scope…
Added 22 days ago
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Consultant - PySpark / Databricks Developer (Intermediate - Senior)
Electric Mind
Toronto, ON
- Full-time
…via file exports and Kafka. You'll work alongside a senior engineer, writing transform code, fixing pipeline issues, and helping keep the environment healthy across…
Added 22 days 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 22 days ago
SG
Software/Firmware Development Engineer
Socomec Group
Brampton, ON
- Full-time
Software programming languages such as C, C++, Java, Python.
Added 22 days ago
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Senior Engineer, Application Security
Lightspeed Commerce, Inc.
Remote, Canada
- Full-time
- Remote
As a Senior Application Security Engineer, you will serve as a foundational anchor on the AppSec team, leading our strategic shift hard-left toward developer-embedded security and Secure by…
Added 22 days ago
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Senior QE + AI Engineer
enableIT
Toronto, ON
- $75 to $80 CAD / hour
- Contract
We are seeking a Senior QE + AI Engineer with around 8 years of experience in Quality Engineering, Test Automation, or Software Engineering. The role focuses on building AI-powered…
Added 22 days ago
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Senior Network Engineer
Xanadu
Toronto, ON
- $95,000 to $115,000 CAD / year
- Full-time
As a Senior Network Engineer, you will own, secure, and modernize our enterprise network infrastructure across a multi-vendor environment. In this role, you will bridge core network…
Added 22 days ago
PI
MLOps Engineer
Planitar Inc.
Waterloo, ON
- $120,000 to $150,000 CAD / year
- Full-time
Planitar's Advanced Research Group builds the AI that turns 360° scans into floor plans. We are hiring our first MLOps Engineer to build the infrastructure that trains, evaluates, deploys…
Added 22 days ago
VS
Product Verification and Validation Engineer
VIAVI Solutions
Ottawa, ON
- Full-time
We are looking for a highly versatile and self-driven Verification & Validation (VnV) Engineer to join our Test Engineering Group / Verification & Validation. This role covers a broad scope…
Added 22 days ago
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MLOps Engineer
Planitar
Waterloo, ON
- Full-time
Planitar's Advanced Research Group builds the AI that turns 360° scans into floor plans. We are hiring our first MLOps Engineer to build the infrastructure that trains, evaluates, deploys…
Added 22 days ago
HA
Engineer In Training
Hazen and Sawyer
Calgary, AB
- Full-time
Hazen Canada is seeking an Engineer in Training with a passion for water to join our Calgary, Alberta office.
Added 22 days ago
TC
Adobe Site Reliability Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $130,000 CAD / year
- Full-time
Added 22 days ago
HA
Engineer In Training
Hazen and Sawyer
Calgary, AB
- Full-time
Hazen Canada is seeking an Engineer in Training with a passion for water to join our Calgary, Alberta office.
Added 22 days ago
Field Application Engineer (Integrated Photonics)
Axiomatic_AI
Toronto, ON
We are seeking an experienced Field Application Engineer with expertise across the PIC development lifecycle - from device and circuit design through simulations, tapeout, characterization,…
Added 22 days ago
I
QA Automation Engineer - Database & ETL Testing
INFOYA
Toronto, ON
- $100,000 to $115,000 CAD / year
- Full-time
experienced Senior Automation Engineer with strong expertise

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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