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Added 56 mins ago
Senior Cloud Platform Engineer (AWS), AI Infrastructure - Evinova
Evinova
Mississauga, ON
Full-time
As a Senior Cloud Platform Engineer on the ML/AI Ops team, you will design, build and operate the AWS platform that runs our production Generative AI, agentic AI and conversational AI…
Added 1 hour 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 3 hours ago
Senior Data Engineer
Pomerleau
Montreal, QC
We are building a modern data platform to power our Business Intelligence, AI, and analytics initiatives. As a Senior Data Engineer, you will own the data foundation end to end: ingesting…
Added 6 hours ago
Senior Azure Cloud Platform Engineer
Agility IT
Toronto, ON
Contract
Our consulting client is seeking an experienced Senior Azure Cloud Platform Engineer to design, deploy, and support enterprise-grade Azure data and analytics platforms, including Power BI.
Added 8 hours ago
Senior QA Engineer – Mobile Testing (Field Mobility)
W3Global
Canada
Full-time
Senior QA Engineer - Mobile Testing (Field Mobility)
Added 11 hours ago
Senior Security Engineer, Detection and Response
Marqeta
Remote, Canada
Full-time · Remote
We’re seeking an experienced Senior Security Engineer with a strong passion for Identity and Access Management (IAM) and proven expertise in cloud-native environments, particularly AWS. In…
Added 14 hours ago
Senior Machine Learning Engineer
Takeaway
Edmonton, AB
Full-time
As a Senior ML Engineer you will take a leadership role in shaping the strategic direction of our machine learning infrastructure, proactively identifying opportunities for innovation and…
Added 17 hours ago
Senior Cloud Network Engineering Specialist (Hybrid)
Morgan Stanley
Montreal, QC
Full-time
We’re seeking someone to join our Cloud Infrastructure team as a Senior Cloud Network Engineering Specialist to design and implement Public Cloud platforms and infrastructure-as-code,…
Added 17 hours ago
Senior AI Business Analyst
R Systems
Canada
Contract
R Systems is a leading digital product engineering company that designs and develops chip-to-cloud software products, platforms, and digital experiences that empower its clients to achieve…
Added 17 hours ago
Senior Cloud Azure Architect
TECONICA SOFTWARES
Toronto, ON
Contract
We are seeking a highly hands-on Azure Platform Engineer with strong experience designing, implementing, and supporting enterprise-scale Microsoft Azure cloud platforms.
Added 17 hours ago
Senior Security Engineer
Zodiac Solutions, Inc
Montreal, QC
Full-time
Collaborate with infrastructure, cloud, application, and DevOps teams to integrate security best practices.
Added 17 hours ago
Senior Manager, I&IT Site Reliability Engineering & Operations
Metrolinx
Toronto, ON
Full-time
Microsoft Certified Azure Solutions Expert, Azure DevOps Engineer, or Equivalent is an asset.
Added 18 hours ago
Senior Cloud Platform Engineer (AWS), AI Infrastructure - Evinova
AstraZeneca
Mississauga, ON · Canada - Mississauga
Full-time
As a Senior Cloud Platform Engineer on the ML/AI Ops team, you will design, build and operate the AWS platform that runs our production Generative AI, agentic AI and conversational AI…
Added 18 hours ago
Lead Architect / Principal Engineer
Litmus
Toronto, ON
Full-time
Solid understanding of cloud-native infrastructure, CI/CD pipelines, and DevOps best practices.
Added 19 hours ago
Development Lead - Air Canada Mobile Application
Air Canada
Toronto, ON
As the most senior engineer on the mobile application, the Development Lead is both the design authority for the mobile platform and the primary delivery authority within Air Canada’s…
Added 20 hours ago
Sr Full Stack AI Engineer - Calgary ,Canada (Hybrid)
Straive
Calgary, AB
Full-time
Title - Senior Full Stack AI Engineer / Technical Engagement Manager
Added 20 hours ago
Senior Solutions Engineer, Enterprise Technology Services
Manulife
Toronto, ON
Full-time
Manulife is seeking a Senior Solutions Engineer to help design, scale, and modernize secure cloud platforms that support critical business systems across a global financial services…
Added 20 hours ago
Senior Full Stack Engineer
Scotiabank
Toronto, ON
The team is searching for a client-focused full stack engineer who is motivated to design and develop components of enterprise applications and providing consultative guidance on all…
Added 22 hours ago
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 22 hours ago
Senior DevOps Engineer - PA145
ZoomInfo Technologies LLC
Toronto, ON
7+ years of experience in a DevOps, Site Reliability Engineering, or Cloud Infrastructure role.
Added 22 hours ago
Software Engineer
ALTEN Canada
Montreal, QC
Full-time
Intégrer les bonnes pratiques DevOps dans les pipelines de livraison
Added 22 hours ago
Senior DevOps Engineer - PA145
ZoomInfo
Toronto, ON
Full-time
7+ years of experience in a DevOps, Site Reliability Engineering, or Cloud Infrastructure role.
Added 23 hours ago
Java Software Engineer
LanceSoft, Inc.
Toronto, ON
$70 to $75 CAD / hour
Contract
We are seeking a Senior Software Engineer to enhance a cross-asset order and position management system. The engineer shall have experience designing and building robust| scalable systems…
Added 23 hours ago
Senior DevOps Engineer
Bounteous
Canada
Contract
We are looking for an experienced Senior DevOps Engineer who can take end-to-end ownership of DevOps, cloud infrastructure, CI/CD, deployment, monitoring, and operational reliability for…
Added 23 hours ago
Azure Data Engineer (Automation & Integration)
Global X Canada
Toronto, ON
$85,000 to $100,000 CAD / year
Full-time
Global X Investments Canada Inc. is seeking an Azure Data Engineer to help build, support and automate our Azure-based data infrastructure. Reporting to the SVP, Digital Innovation & Data…

Straive

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

Calgary, AB, Canada

Job type: Full-time
Apply by: Oct 31, 2026
Posting language: English
Posted: Oct 1, 2026

Apply About employer

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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 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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