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Added 5 mins ago
JI
Senior Data Scientist
J.D. Irving, Limited
Saint John, NB
- Full-time
Expert-level proficiency in Python, SQL, and machine learning frameworks, with demonstrated experience designing scalable analytical solutions and deploying models into production…
Added 5 mins ago
C
Application Development Senior Manager - Vice President
Citi
Mississauga, ON
- Full-time
…supporting ELT/ETL processes to handle large data volumes using the Python, FAST API, Microservices , PySpark, Kafka and Databricks…
Added 5 mins ago
B
Senior Manager, Data Engineer, Applied AI Data Ingestion & Integration
BMO
Toronto, ON · FCP
- Full-time
Develop production‑grade services and AI capabilities using Python, REST APIS, JSON/XML, vector databases, RAG evaluation and retrieval metrics.
Added 5 mins ago
B
Technical Product Manager – Aviation Maintenance Data
Boeing
Vancouver, BC · Richmond, BC · CAN - Richmond, Canada
- Full-time
Added 5 mins ago
Senior Full Stack Developer
Autodesk
Toronto, ON · Montreal, QC · AMER - Canada - Ontario - Toronto - University Ave
Our core stack is TypeScript, React, Node.js, and MySQL. Some teams use C# or Python. You don't need to already know every piece of it to apply. You'll land on a team of 5 to 10 people and…
Added 18 mins ago
KG
Senior Platform Engineer
Kinross Gold Corporation
Toronto, ON
- Full-time
Added 18 mins ago
LT
Senior Python Developer
Lorven Technologies Inc.
Toronto, ON
- Contract
Strong Python experience in enterprise environments
Added 18 mins ago
AI
Embedded Software Developer
Aversan Inc.
Montreal, QC
- Full-time
We are currently seeking a qualified Embedded Software Developer to join our team. In this role, you will collaborate with a multidisciplinary team to develop and maintain embedded flight…
Added 18 mins ago
I
Triton Compiler Engineering Manager
Intel
Toronto, ON
- Full-time
Added 18 mins ago
S
Head of Data Systems (Google Stack)
Stacktics
Toronto, ON
- Full-time
Added 20 mins ago
Senior Manager, Analytics and BI
Scotiabank
Toronto, ON
Added 20 mins ago
Manager, Data Initiatives - Ottawa, ON
Scotiabank
Ottawa, ON
Other certifications in programming languages such as Python, SQL or other equivalent
Added 20 mins ago
Manager, Data Initiatives - Toronto, ON
Scotiabank
Toronto, ON
Other certifications in programming languages such as Python, SQL or other equivalent
Added 20 mins ago
Agentic AI Architect, Kitchener, ON ( Hybrid)
Siemens
Kitchener, ON
Strong background in Python backend development and microservices/distributed-systems architecture
Added 20 mins ago
CL
Senior Cloud DevOps Engineer
Charger Logistics Inc
Brampton, ON
- Full-time
Build developer self-service platforms and observability solutions.
Added 35 mins ago
Associate Technical Services Engineer II
MongoDB
Toronto, ON
Extra bonus points if you have experience in one or more of Java, Python, Ruby, C, C++, C#, Javascript, node.js, Go, PHP, or Perl
Added 35 mins ago
B
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 35 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 35 mins ago
S
Software Engineer, Streaming Platform
Sentry
Remote, Canada
- $163,000 to $200,000 CAD / year
- Full-time
- Remote
…intersection of distributed systems, real-time data processing, and developer experience. You will help us create a self-service streaming platform that improves stability, accelerates time…
Added 35 mins ago
RB
Lead Full Stack Developer
Royal Bank of Canada
Toronto, ON
- Full-time
A Lead Full Stack Developer is responsible for designing, developing and maintaining legacy and "Cloud First" applications written primarily in C# and focused on .Net Core and cloud…
Added 35 mins 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 35 mins ago
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Staff Data Scientist, AI Evaluations Platform
RBC
Montreal, QC
- Full-time
Strong technical foundation in data science, statistics, machine learning, experimentation, data curation, Python, SQL, and modern AI/ML development practices.
Added 48 mins ago
CL
Senior Cloud DevOps Engineer
Charger Logistics Inc.
Brampton, ON
- Full-time
Build developer self-service platforms and observability solutions.
Added 50 mins ago
MW
Firmware Developer III
Mueller Water Products
Toronto, ON
- Full-time
This posting is for an existing vacancy within our organization that we are actively seeking to fill.

Firmware Developer III
Added 50 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…

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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