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Added 6 hours ago
AS
Senior Data Engineer
AgileGrid Solutions
Canada
- Full-time
As a Senior Data and AI Engineer, you will lead the delivery and support of data and AI products that address business needs and contribute to measurable outcomes. You will work closely…
Added 1 day ago
UO
Sessional Instructional Assistant CSC110Y5F Foundations of Comp Sci 1 (Autotesting)(Emerg Posting)
University of Toronto - Woodsworth College
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…will occur on evenings, weekends, and during business hours. Prompt completion of these test cases with tight turnaround times is essential to the operation of this course and is a…
Added 1 day ago
ST
AI Engineer
SS&C Technologies
Mississauga, ON
- Full-time
…Artificial Intelligence, and we're looking for an experienced AI Engineer to help lead that…
Added 1 day ago
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Senior Software Engineer – AI Agents
lululemon
Vancouver, BC
- Full-time
As a Senior Software Engineer – AI Agents, you will lead the design and implementation of complex software systems and features spanning multiple services and components, establishing…
Added 1 day ago
OG
Intermediate Software Engineer - Onni Capital
Onni Group of Companies
Vancouver, BC
- Full-time
There is an exciting opportunity for an Intermediate Software Engineer to join Onni Capital in Vancouver.
Added 2 days ago
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Cloud Architect
Hays
Toronto, ON
- Contract
…delivery management, and release readiness sit with the AI Engineer…
Added 2 days ago
M
Applied AI Engineer
Mizo
Montreal, QC
- Full-time
We're looking for an Applied AI Engineer to design, ship, and operate the agentic AI systems at the core of Mizo. In this role, you'll take agents from prototype to production - and own how…
Added 2 days ago
A
CCaaS Developer
Accenture
Montreal, QC
- Full-time
Apply prompt, RAG pipelines, and grounding techniques to optimize GenAI performance in CX contexts.
Added 2 days ago
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Construction Inspector - Conveyance
Stantec
Toronto, ON
- Full-time
Ensure Contractor prepares prompt requests for information (RFIs) for questions that may affect the construction schedule. Review project submittals and RFI responses and incorporate into…
Added 2 days ago
FE
Applied AI Engineer – Agents & Automation
Future Electronics
Kirkland, QC
- Full-time
The Frontier AI Deployed Engineer is a member of Future Electronics' AI & Automation Center of Excellence and works directly with business and technology teams to discover, design, build,…
Added 2 days ago
SI
Applied AI Engineer - Canada
Saransh Inc
Montreal, QC
- Contract
Working knowledge of Large Language Models (LLMs), prompt engineering, embeddings, vector databases, semantic search, Retrieval-Augmented Generation (RAG), and common AI application…
Added 2 days ago
SI
AI Engineer
Supra ITS
Mississauga, ON
- Full-time
Hands-on LLM application work: function/tool calling, RAG, prompt + eval loops - not only wrapping a chatbot widget
Added 2 days ago
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Lead AI.Net Developer
Digitive
Canada
- Contract
…regarding workflow friction points and report back to the Lead AI Engineer to continuously refine prompt sets, agent loops, and developer experience…
Added 2 days ago
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Senior Forward Deployed Engineer – AI & Data Engineering
PeoplePilot
Toronto, ON
- Full-time
Forward Deployed Engineer | AI Engineering | Data Engineering | Python | PySpark | SQL | FastAPI | REST APIs | Claude | Prompt Engineering | RAG | Vector Databases | Semantic Search |…
Added 2 days ago
GS
GenAI Prompt Engineer
Gala Solutions
Montreal, QC
- Contract
…The candidate should be familiar with python development and prompt engineering. The candidate should be able to work with different Clients/SME’s and understand the business requirements…
Added 2 days ago
ML
AI Engineer
MACHINE LEARNING TECHNOLOGIES LLC
Toronto, ON
- Full-time
Design, architect, and build scalable Gen AI solutions, including LLM pipelines, Agentic, MCP, Graph/RAG architectures, prompt-based applications, and emerging technologies.
Added 2 days ago
SP
Software Engineering SMTS
Salesforce Partner Canada
Toronto, ON
- Full-time
…and act on the right data.We are looking for a Lead Software Engineer to help us build agentic experiences for product setup and configuration. You will help design a core agent framework,…
Added 2 days ago
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Python Gen AI Developer
Virtusa
Mississauga, ON
- Full-time
We are seeking a highly skilled and experienced Lead Software Engineer to join our team. In this role, you will lead the design and development of scalable, API-driven solutions leveraging…
Added 2 days ago
T
Quality Assurance Engineer
Trulioo
Remote, Canada
- $85,000 to $95,000 CAD / year
- Full-time
- Remote
Reporting to the Manager, Quality Assurance, the Quality Assurance Engineer will be responsible for delivering quality software for the Trulioo SaaS platform. This role involves designing…
Added 2 days ago
S
Software Engineering SMTS
Salesforce
Toronto, ON · Canada - Toronto
- Full-time
…and act on the right data.We are looking for a Lead Software Engineer to help us build agentic experiences for product setup and configuration. You will help design a core agent framework,…
Added 2 days ago
T
Quality Assurance Engineer
Trulioo
Vancouver, BC
- Full-time
Reporting to the Manager, Quality Assurance, the Quality Assurance Engineer will be responsible for delivering quality software for the Trulioo SaaS platform. This role involves designing…
Added 2 days ago
V
Python Gen AI Developer
Virtusa
Mississauga, ON
- Full-time
We are seeking a highly skilled and experienced Lead Software Engineer to join our team. In this role, you will lead the design and development of scalable, API-driven solutions leveraging…
Added 2 days ago
V
Python Gen AI Developer
Virtusa
Mississauga, ON
- Full-time
We are seeking a highly skilled and experienced Lead Software Engineer to join our team. In this role, you will lead the design and development of scalable, API-driven solutions leveraging…
Added 2 days ago
S
Artificial Intelligence Engineer
Swoon
Toronto, ON
- Contract
Develop AI workflows incorporating APIs, tool calling, prompt engineering, context engineering, and workflow orchestration.
Added 2 days ago
SF
Senior Site Reliability Engineer
Safe Fleet
Coquitlam, BC
- Full-time
The Senior Site Reliability Engineer owns reliability, resilience and operational health across SafeFleet’s cloud-native product ecosystem. This is a hands-on engineering role with…

Saransh Inc

Applied AI Engineer - Canada

Montreal, QC, Canada

Contract

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Job details

Job type: Contract
Apply by: Apr 28, 2027
Posting language: English
Posted: Oct 30, 2026

Original job description

Applied AI-Engineer Montreal (Canada)

Role Overview And Expectations

Applied AI engineers are hands-on developers who work collaboratively with business and technology teams to accelerate the implementation of Generative AI use cases across Morgan Stanley. Team members participate in discovery discussions, build and test prototypes, integrate AI capabilities with existing applications, and provide practical implementation support to sponsoring application development teams. Success in this role requires solid software engineering fundamentals, practical experience with AI application development, strong problem-solving skills, and the ability to communicate clearly and work effectively across teams.

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

Collaborate with business and technology teams to discover Generative AI use cases, build and test prototypes, and integrate AI capabilities into existing applications. Provide practical implementation support to application development teams and help deliver AI agents, orchestration workflows, and enterprise integrations.

Requirements

Requires 3–5 years of software engineering experience and 1–3 years of practical Generative AI application development experience, including proficiency in Python and enterprise application integrations. Candidates should understand LLMs, RAG, AI frameworks and agents, testing and evaluation, Responsible AI, modern software practices, and cloud platforms, with strong communication and collaboration skills.

Skills

Python
Large Language Models
Prompt Engineering
Retrieval-Augmented Generation
Vector Databases
Semantic Search
AI Agents
LangGraph
LangChain
API Development
Enterprise Integrations
AI Evaluation
Responsible AI
CI/CD
Azure

Visa sponsorship

Not detected in the job text

Keywords

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

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