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Added 27 mins ago
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 44 mins 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 59 mins ago
Ingénieur régional en colo électrique Sénior (Elec Colo Regional Engineer), Colocation Region Engineering- AMER
Amazon
Pointe-Claire, QC
Are you an engineer with a passion for data center design and looking for a challenge to chart your own course? If so, we are looking for you to help us make history.
Added 1 hour ago
Project Estimation Manager [Hybrid or Remote] - Gestionnaire Estimation des Projets [Hybride ou Télétravail] | - FR
EDF power solutions North America
Montreal, QC
Full-time
…provide functional coverage and technical continuity for the Senior Data Solutions Engineer during periods of absence or elevated workload demand. As such, the ideal candidate will bring a…
Added 1 hour ago
Project Estimation Manager [Hybrid or Remote] - Gestionnaire Estimation des Projets [Hybride ou Télétravail] | - FR
EDF power solutions North America
Montreal, QC
Full-time
…provide functional coverage and technical continuity for the Senior Data Solutions Engineer during periods of absence or elevated workload demand. As such, the ideal candidate will bring a…
Added 1 hour 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 2 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 3 hours ago
Cloud & Application Security Engineer
K&K Global Talent Solutions INC.
Quebec, QC
Full-time
As the Cloud & Application Security Engineer, you will serve as the principal design authority responsible for protecting our enterprise applications and hybrid multi-cloud digital…
Added 4 hours ago
AI Engineer Intern
Electronic Arts
Vancouver, BC
The AI Platform team delivers centralized AI resources across all Electronic Arts franchises, crafting AI and Generative AI solutions alongside a shared AI infrastructure for company-wide…
Added 4 hours 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 4 hours ago
Senior DevOps Engineer - PA145
ZoomInfo Technologies LLC
Toronto, ON
Work with cloud-native data services such as AWS Kinesis, AWS Glue, Google Dataflow, and Google Pub/Sub, BigQuery, BigTable
Added 5 hours ago
Senior DevOps Engineer - PA145
ZoomInfo
Toronto, ON
Full-time
Work with cloud-native data services such as AWS Kinesis, AWS Glue, Google Dataflow, and Google Pub/Sub, BigQuery, BigTable
Added 7 hours ago
Platform Engineer (Netezza)
CBL Solutions
Toronto, ON
Contract
We are seeking a highly skilled Senior Platform Engineer with extensive experience in Big Data technologies, AWS Cloud, and data platform engineering. The ideal candidate will have strong…
Added 7 hours ago
Senior Data Engineer (Python / AWS / ML Pipelines)
Jobgether
Canada
Full-time
…all applications and next steps. Our partner is looking for a Senior Data Engineer (Python / AWS / ML Pipelines) based in…
Added 10 hours ago
Data Engineer
Wiraa
Canada
Full-time
We are seeking a highly skilled Staff Data Engineer to join our Data Platform team. This senior individual contributor role demands a broad technical scope and a significant organizational…
Added 12 hours ago
Intermediate Software Engineer
AltaML
Toronto, ON
$90,000 to $110,000 CAD / year
Full-time
Experience with a cloud platform (Azure, AWS, or GCP) is a plus.
Added 18 hours ago
Sr. Data Engineer - Snowflake
Procom
Toronto, ON
$63.75 to $85 CAD / hour
Contract
As a Senior Data Engineer, you will play a pivotal role in advancing the enterprise data platform strategy. This involves developing scalable data solutions and enhancing data governance…
Added 19 hours ago
Senior Data Engineer
Raise
Toronto, ON
Full-time
We at Raise are hiring a Senior Data Engineer for one of our top clients. After establishing themselves as an industry leader, they’re now expanding their team to meet rising demand. We’re…
Added 20 hours ago
Senior Architecte IA/ML | Senior AI/ML Architect, Services professionnels pour le secteur public | Public Sector Professional Services
Amazon Web Services (AWS)
Montreal, QC
Full-time
AWS Global Sales favorise l'adoption du cloud AWS à l'échelle mondiale, permettant aux clients de toutes tailles d'innover et de se développer dans le cloud. Notre équipe permet à chaque…
Added 23 hours ago
Sr. Data Analyst -1806 (Asset Management)
Amyantek
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As a Senior Data Engineer, you will be a key contributor to SLC’s enterprise data platform
Added 23 hours ago
Senior Java Microservices Engineer
Publicis Sapient
Calgary, AB
Full-time
We are looking for highly skilled Senior Java Microservices Engineer to join a strategic client engagement in Calgary. We are looking for a hands-on senior engineer who combines strong…
Added 23 hours ago
Infra / Cloud & GenAI Architect
Tata Consultancy Services
Calgary, AB
Full-time
Have Senior plus years of experience in design and implementation of Cloud technologies primarily Microsoft Azure and AWS
Added 23 hours ago
Senior AI Engineer - Evisort AI
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
As an AI Engineer, you will help develop tailored user experiences using advanced LLMs, Knowledge Graphs, personalization, and predictive analysis. You will collaborate with other engineers…
Added 23 hours ago
Senior Software Engineer, Security Engineering (Auth0)
Okta
Toronto, ON
We are looking for a Senior Software Engineer that will join the Auth0 Security Engineering organization. In this role, you will join a team of Software Engineers dedicated to building and…
Added 23 hours ago
Senior Data Engineer (Snowflake & Asset Management)
Recrute Action
Toronto, ON
Contract
5+ years of hands-on experience building data platforms, applications, and pipelines using cloud-native technologies, including AWS, Azure, or GCP.

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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