Jobs in Canada

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Added 1 month ago
S
Data Scientist Intern (Jan 2027 12 Months)
SOTI
Mississauga, ON
- Full-time
Awareness about GenAI concepts like RAG, Classification, Evaluation metrices
Added 1 month ago
R
2027 Winter – GRM, AI Developer Intern - Innovation & AI Center of Excellence (4 Months)
RBC
Toronto, ON
- Full-time
Hands-on experience prototyping GenAI applications, including working with foundational LLMs (e.g., GPT models via API) and transformer models (e.g., Hugging Face Transformers); familiarity…
Added 1 month ago
R
2027 Winter – GRM, AI Developer Intern - Innovation & AI Center of Excellence (4 Months)
RBC
Toronto, ON
- Full-time
Hands-on experience prototyping GenAI applications, including working with foundational LLMs (e.g., GPT models via API) and transformer models (e.g., Hugging Face Transformers); familiarity…
Added 1 month ago
Senior Platform Engineer, AI & Fabrics
BMO
Toronto, ON · FCP
…hardening and scaling real engineering assets; an existing developer portal, an AI registry, a body of policy-as-code, and gateway integrations into enterprise-grade…
Added 1 month ago
AW
Artificial Intelligence Specialist
Agilus Work Solutions
Toronto, ON
- Contract
The ideal candidate will bring strong Python development, practical LLM/GenAI experience, and experience working with AI agents, APIs, integrations, retrieval, and evaluation. Hands-on…
Added 1 month ago
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Senior Platform Engineer, AI & Fabrics
BMO
Toronto, ON
- Part-time
…hardening and scaling real engineering assets; an existing developer portal, an AI registry, a body of policy-as-code, and gateway integrations into enterprise-grade…
Added 1 month ago
QC
Quality Assurance Engineer
Quarry Consulting
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Experience with automation technologies such as Selenium, Cypress, Playwright, Rest Assured, Java, Python, or equivalent frameworks.
Added 1 month ago
RB
2027 Winter – GRM, AI Developer Intern - Innovation & AI Center of Excellence (4 Months)
Royal Bank of Canada
Toronto, ON
- Full-time
Hands-on experience prototyping GenAI applications, including working with foundational LLMs (e.g., GPT models via API) and transformer models (e.g., Hugging Face Transformers); familiarity…
Added 1 month ago
NV
Compositing Supervisor
NOX Visual Effects
Vancouver, BC
- Full-time
Location: You must live in British Columbia and be legally eligible to work in Canada
Added 1 month ago
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Associate Applied AI Engineer – GenAI Systems
Manulife
Toronto, ON
- Full-time
Manulife is making a significant investment in Advanced Analytics and GenAI to transform how Finance, Treasury, and Actuarial teams make decisions. Our AI team builds practical, governed…
Added 1 month ago
B
GenAI Software Developer
BMO
Calgary, AB · GCS
- Full-time
…Generative AI. We're looking for a passionate and innovative GenAI Software Developer to join our growing team and help design, build, and scale intelligent AI-powered solutions that…
Added 1 month ago
Analyst, Artificial Intelligence
VIA HFR - VIA TGF Inc
Ottawa, ON · Toronto, ON · Montreal, QC · Quebec, QC
Working knowledge of programming and scripting languages such as Python, JavaScript, Java, PowerShell, and SQL.
Added 1 month ago
AI
Automation Developer
Apptoza Inc.
Toronto, ON
- Contract
…essential for configuring and automating workflows. Strong Java and Python development skills are required for building applications and integrations. Experience with REST APIs and webhooks…
Added 1 month ago
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Software Engineering Intern (Winter 2027)
Harvey
Remote, Canada
- $45 to $55 CAD / hour
- Internship
- Remote
…motivated, and excited to learn how modern application-layer and GenAI products are built. You’ll gain hands-on experience across the stack, contribute to real features, and see how your…
Added 1 month ago
WT
Senior Software Developer, ML Platform & Infrastructure
Wealthsimple Technologies
Toronto, ON
- $152,000 to $189,000 CAD / year
- Full-time
The Machine Learning Infrastructure & Platform team builds the foundational architecture powering AI and GenAI initiatives across Wealthsimple. We sit at the intersection of production…
Added 1 month ago
AS
Full Stack Developer - Python and React
Axelon Services Corporation
Montreal, QC
- $77.93 CAD / hour
- Other
Design, develop, and implement scalable solutions using Python and React within a dynamic, agile team.
Added 1 month ago
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Senior Cloud Platform Engineer (AWS), AI Infrastructure - Evinova
Evinova
Mississauga, ON
- Full-time
Candidates must reside within commuting distance of the GTA or be willing to relocate for this opportunity
Added 1 month ago
A
Développeur(-euse) Full Stack (Python, React)
Akkodis
Montreal, QC
- Contract
Mode de travail : Hybride – Présence au bureau 3 jours par semaine (incluant l'intégration initiale sur site)
Added 1 month ago
IC
HR Data Scientist, Data Eng.
IT Connex
Toronto, ON · Greater Toronto Area, Canada
- Contract
Expert-level proficiency in Oracle SQL, Python, experience with building on LLMs for advanced analytics, including data extraction, transformation, statistical modelling, and automation.
Added 1 month ago
AI COE - Senior Data Scientist
EY
Toronto, ON
Technical Proficiency: Proficient with Python and deep learning frameworks (PyTorch and/or TensorFlow); expertise in data wrangling, feature engineering, and ML pipeline automation.
Added 1 month ago
A
Senior Cloud Platform Engineer (AWS), AI Infrastructure - Evinova
AstraZeneca
Mississauga, ON · Canada - Mississauga
- Full-time
Candidates must reside within commuting distance of the GTA or be willing to relocate for this opportunity
Added 1 month ago
AI
AI Platform Engineer - DevOps, Python
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Halifax, NS
- Full-time
AI Platform Engineer - DevOps | Python, TypeScript, CI/CD, Kubernetes, LLMOps
Added 1 month ago
JG
AI Platform Engineer - DevOps
J&M Group
Halifax, NS
- Full-time
2+ years development experience in Java, Python, JavaScript/TypeScript, C#, or C/C++
Added 1 month ago
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Sr Full Stack AI Engineer - Calgary ,Canada (Hybrid)
Straive
Calgary, AB
- Full-time
· Apply embeddings and vector databases to support semantic search, retrieval, context management, and scalable GenAI application patterns.
Added 1 month ago
A
Databricks Manager
Avanade
Toronto, ON
- Full-time
Lead the development of data and analytics platforms, real time intelligence and reporting solutions using Python, SQL, Microsoft Azure Data Services, Fabric, Databricks, and Snowflake.

Straive

Sr Full Stack AI Engineer - Calgary ,Canada (Hybrid)

Calgary, AB, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Oct 1, 2026

Original job description

Title - Senior Full Stack AI Engineer / Technical Engagement Manager

Location: Calgary ,Canada (Hybrid-3 days in a week)

Role- Full Time with SG analytics(Staive)

Experience level- 5 to 10 years

Mandatory-hands-on with coding

Skill required - backend services, REST APIs, integrations, integrate agentic workflows, RAG, Generative AI,

Role Overview

We are seeking a Senior Full Stack AI Engineer who can combine strong hands-on software engineering with technical engagement and project delivery leadership. The successful candidate will remain close to the code while also working directly with business and client stakeholders to shape requirements, define solution approaches, coordinate delivery, and ensure successful productionization.

The ideal candidate will have 5-10 years of experience building and deploying modern enterprise applications across backend, frontend, databases, APIs, cloud, and DevOps. In addition to individual technical contribution, this person should be comfortable coaching junior engineers, reviewing technical work, managing delivery risks and dependencies, and acting as the technical point of contact for an engagement.

This role is particularly suited to someone who enjoys operating at the intersection of engineering and delivery: translating business problems into practical technical solutions, driving execution from discovery through production, and ensuring solutions are scalable, reliable, maintainable, and usable by end customers.

Key Responsibilities

Full Stack Application Engineering

· Design, build, test, deploy, and support production-grade full-stack applications from solution design through implementation and ongoing enhancement.

· Develop scalable backend services, REST APIs, integrations, and reusable frontend components for enterprise applications and internal platforms.

· Remain hands-on with coding, debugging, code reviews, architecture decisions, and technical problem solving across the delivery lifecycle.

· Build solutions with strong attention to performance, maintainability, security, reliability, and user experience.

Technical Engagement & Project Delivery

· Act as the technical engagement lead for projects, working with client and internal stakeholders to understand business needs, clarify requirements, and translate them into solution designs and delivery plans.

· Own technical work planning, effort estimation, sprint or milestone execution, delivery tracking, and coordination across engineering, data, QA, product, and business teams.

· Identify technical risks, dependencies, integration constraints, and production-readiness issues early, and drive them to resolution.

· Communicate project status, technical decisions, trade-offs, risks, and recommendations clearly to both technical and non-technical stakeholders.

· Support discovery workshops, solution walkthroughs, demos, and client discussions as the senior technical representative for the engagement.

Productionization, Cloud & DevOps

· Take ownership of moving solutions from prototype or development environments into stable, production-grade applications.

· Design and implement build, release, deployment, and rollback processes using CI/CD pipelines and modern DevOps practices.

· Work with cloud platforms and containerized environments to deploy, operate, monitor, and scale applications reliably.

· Implement appropriate logging, observability, exception handling, testing, security controls, and performance monitoring to support production operations.

· Partner with platform, infrastructure, security, and client IT teams to address environment setup, access, deployment, support, and operational-readiness requirements.

Backend, Data & Integration

· Design relational and/or NoSQL data models, application data flows, persistence layers, and integration patterns.

· Develop integrations with internal systems, third-party platforms, analytics services, and enterprise data sources using APIs, messaging, event-driven approaches, or batch interfaces.

· Apply sound engineering practices for authentication, authorization, API design, data validation, caching, error handling, and performance optimization.

Generative AI Engineering

· Contribute, where relevant, to the design and development of enterprise Generative AI capabilities using large language models (LLMs).

· Build or integrate agentic workflows and retrieval-augmented generation (RAG) solutions that ground model responses in enterprise data and knowledge sources.

· Apply embeddings and vector databases to support semantic search, retrieval, context management, and scalable GenAI application patterns.

Team Coaching & Engineering Quality

· Coach and mentor junior and mid-level engineers through design discussions, pair problem solving, code reviews, and development guidance.

· Help establish and reinforce engineering standards for architecture, coding practices, testing, documentation, version control, security, and release management.

· Break complex technical problems into manageable work packages and help the team execute with quality and discipline.

· Contribute to a strong engineering culture focused on ownership, pragmatic problem solving, continuous improvement, and delivery excellence.

Required Skills & Qualifications

Education

Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.

Experience

· 5-10 years of experience in full-stack development, software engineering, application engineering, or closely related roles.

· Strong track record of building and deploying production-grade web applications and backend services, not only prototypes or proofs of concept.

· Experience owning technical workstreams or projects and coordinating delivery across multiple contributors or functions.

· Experience mentoring developers, reviewing technical work, and providing hands-on engineering guidance.

· Demonstrated ability to work directly with business or client stakeholders and translate requirements into technical solutions.

Technical Skills

· Strong programming skills in Python and/or JavaScript/TypeScript.

· Hands-on experience with backend frameworks such as FastAPI, Flask, Django, Node.js, Express, or comparable technologies.

· Strong frontend development experience using React.js and modern UI development practices.

· Solid understanding of SQL databases such as PostgreSQL, MySQL, or SQL Server; familiarity with NoSQL databases is an advantage.

· Experience designing and integrating REST APIs, services, and authentication/authorization mechanisms.

· Hands-on experience with Git, automated testing, CI/CD pipelines, Docker, and cloud platforms such as Azure, AWS, or GCP.

· Good understanding of software architecture, design principles, debugging, code quality, secure development, and application performance.

· Practical experience with deployment, observability, monitoring, incident troubleshooting, and production support.

Preferred Qualifications

· Experience delivering software or analytics applications in oil & gas, energy, energy retail, utilities, or marketing analytics environments.

· Experience with microservices architecture, Kubernetes, distributed systems, messaging platforms, or event-driven architectures.

· Experience building data-intensive, analytics, optimization, or workflow-driven applications.

· Exposure to AI/ML or Generative AI application development, including integration of LLM-based capabilities into enterprise applications.

· Familiarity with GenAI technologies such as Azure OpenAI/OpenAI, LangChain, vector databases, or RAG architectures is useful but not required.

· Prior experience in consulting, client-facing delivery, technical project management, or engagement management is an advantage.

Key Competencies

· Strong engineering judgment and hands-on problem-solving ability

· Technical project ownership and delivery discipline

· Clear client communication and stakeholder management

· Ability to move comfortably between code-level detail and business-level discussions

· Ability to coach junior team members and raise overall engineering quality

· Strong ownership mindset with a practical, product-oriented approach

· Ability to manage ambiguity, priorities, dependencies, and delivery risks

Apply on LinkedIn About employer

More about this job

Responsibilities

Design, build, deploy, and support production-grade full-stack applications, backend services, APIs, integrations, and relevant Generative AI solutions. Lead technical engagement and delivery, coordinate stakeholders and project execution, manage production readiness, and mentor engineers while maintaining hands-on coding involvement.

Requirements

Requires 5–10 years of full-stack or related software engineering experience, a bachelor's or master's degree in a relevant field, and a track record of delivering production-grade applications. Candidates should have strong programming, backend and React development, database, API, cloud, DevOps, and production support skills, along with experience leading technical work and engaging stakeholders.

Skills

Python
JavaScript
TypeScript
FastAPI
Flask
Django
Node.js
React.js
REST APIs
Generative AI
Retrieval-Augmented Generation
Agentic Workflows
SQL
Docker
CI/CD
Cloud Platforms

Visa sponsorship

Not detected in the job text

Keywords

Python
JavaScript
TypeScript
FastAPI
Flask
Django
Node.js
Express
React.js
REST APIs
PostgreSQL
MySQL
SQL Server
NoSQL
Git
Automated Testing
CI/CD
Docker
Azure
AWS
GCP
Kubernetes
Microservices
Distributed Systems
Event-Driven Architecture
Generative AI
Large Language Models
Retrieval-Augmented Generation
Vector Databases
LangChain

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Jobs in Canada