Jobs in Canada

Group jobs by employerEmail me new jobs Save this search

Added 1 month ago
E
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
Senior Agentic AI Engineer- Physical AI hub, Kitchener
Siemens
Kitchener, ON
We are seeking a Senior Agentic AI Engineer to build the harness reasoning, monitoring, recovery, and completion-gating capabilities for the Physical AI Runtime. This engineer will design…
Added 1 month ago
Machine Learning Systems and Infrastructure Developer
Siemens
Kitchener, ON
Partner with the Senior AI/ML and Robotics Platform Engineer on dataset readiness, evaluation semantics, and model-quality criteria.
Added 1 month ago
T
Senior Data Engineer
TriMech
Oakville, ON
- Full-time
As Senior Data Engineer / Data Scientist, you will design, build, and operate the group's data ecosystem: integrating data from our core business systems, developing robust pipelines,…
Added 1 month ago
EA
Full Stack Software Developer
Engineered Arts
Montreal, QC
- Full-time
We’re seeking developers with mid to senior level of experience who will rapidly integrate into our
Added 1 month ago
B
Intern, Developer (Winter 2027)
Bombardier
Mississauga, ON
- $17.95 to $31 CAD / hour
- Volunteer
Engineer backend automation scripts and data integration pipelines with Python and SQL, leveraging operational data to drive real-time insights and transformation on the shop floor.
Added 1 month ago
Senior Data Engineer
Quandri
Vancouver, BC
Experience in communicating with senior leadership to collect requirements, describe software product features, technical designs, and product strategy
Added 1 month ago
Q
Senior Data Engineer
Quandri
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
Experience in communicating with senior leadership to collect requirements, describe software product features, technical designs, and product strategy
Added 1 month ago
M
Online Calibration & SLAM Engineer
Mecka
Richmond Hill, ON
- $200,000 to $230,000 CAD / year
- Full-time
Cross-border collaboration: You can specify calibration requirements clearly to a hardware team across time zones
Added 1 month ago
Data Analyst, Principal
Dayforce
Canada
This is a hands-on technical role with significant visibility across the organization. You will work directly with senior leaders and cross-functional stakeholders while personally…
Added 1 month ago
AI
AI Developer – AI/ML, Python, LangChain, RAG, NLP LLM
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
What is the opportunity? The Senior AI Engineer will work on the development and deployment of cutting-edge machine learning models, drive innovation, and collaborate with cross-functional…
Added 1 month ago
EH
Customer Experience Engineer
Elation Health
Canada
- Full-time
…that resolves the customer's problem immediately, and partner with senior engineers on the cases complex enough to need…
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
S
Sr Full Stack AI Engineer - Calgary ,Canada (Hybrid)
Straive
Calgary, AB
- Full-time
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…
Added 1 month ago
S
Senior Analytics Engineer – Data Modeling
SPECTRAFORCE
Toronto, ON · Greater Toronto Area, Canada
- Contract
Senior Analytics Engineer – Data Modeling (Databricks), Capital Markets
Added 1 month ago
RB
Senior Software Developer in Test (Development Focused)
Royal Bank of Canada
Montreal, QC
- Full-time
We are seeking a top-notch, hands on Senior Software Developer who is a passionate, driven team player committed to code quality and testing excellence. The ideal candidate will play a…
Added 1 month ago
Staff Data Infrastructure Engineer
Faire
Toronto, ON · Kitchener, ON
Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting
Added 1 month ago
S
Machine Learning Systems and Infrastructure Developer
Siemens
Kitchener, ON
- Full-time
Partner with the Senior AI/ML and Robotics Platform Engineer on dataset readiness, evaluation semantics, and model-quality criteria.
Added 1 month ago
St Staff R&D Engineer
Synopsys
Waterloo, ON
Solid experience with Python for scripting, automation, and backend services
Added 1 month ago
Machine Learning Engineer - EA SPORTS™ FC
Electronic Arts
Vancouver, BC
Reporting to the Senior Data Science Manager, we are seeking a full-stack Machine Learning Engineer to operationalize, deploy, and scale high-impact machine learning solutions and…
Added 1 month ago
AI Engineer Intern
Electronic Arts
Vancouver, BC
As a Software Engineer with expertise in AI/ML systems and platform development, you will help create a scalable AI Platform.
Added 1 month ago
Machine Learning Engineer III
Electronic Arts
Vancouver, BC
The Senior Machine Learning Engineer will report to the Senior Manager, EA Player Security Data Labs. You will follow a hybrid work model with a mix of remote work and in-office…
Added 1 month ago
Développeur.se de logiciels sénior.e - applications dorsales / Senior Software Developer - Backend
Electronic Arts
Montreal, QC · Vancouver, BC
As a Senior Software Engineer, you will collaborate with Research Scientists and Engineers to shape how new technologies integrate into backend architecture. You will translate ideas from…
Added 1 month ago
Développeur.se de logiciels sénior.e - outils de moteur génératif / Senior Software Developer - Generative Engine Tools
Electronic Arts
Montreal, QC · Vancouver, BC
As a Senior Software Engineer, you will collaborate with Research Scientists and Engineers to shape how new technologies integrate into core engine architecture. You will translate ideas…
Added 1 month ago
Senior Systems Engineer - Identity and Access Management
Electronic Arts
Vancouver, BC
We are looking for an experienced Senior Systems Engineer with deep expertise in both Identity & Access Management (IAM) and Windows Systems Administration to join our Identity Security…

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

Report this job

Work requirements

Jobs in Canada