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Added 1 day ago
PR
Senior/Principal LLM & Evals Engineer
Perennial Resources International
Toronto, ON
- Full-time
We are seeking an experienced GenAI engineer with deep expertise in LLM evaluation, production-grade AI systems, and financial services. The successful candidate will design and improve…
Added 1 day ago
TI
Quality Engineer
Tekgence Inc
Brampton, ON
- Contract
Job Description: Title Quality Engineer (QE) SDET AI Chatbot Validation Key Roles Responsibilities Validate chatbot responses for accuracy| relevance| completeness| and consistency. Create…
Added 2 days ago
S
Senior Full Stack Gen AI Engineer/Technical Engagement Manager
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 3 days ago
H
Quality Engineer
Hays
Toronto, ON
- Contract
Job Title: Quality Engineer - AI/GenAI Validation & Testing
Added 3 days ago
PG
Quality Engineer – AI Chatbot Validation
Pacer Group
Toronto, ON
- $40 to $45 CAD / hour
- Contract
Ability to develop AI evaluation datasets, test scenarios, test data, and automated validation strategies for GenAI applications.
Added 3 days ago
IG
Forward Deployed Engineer
Insight Global
Toronto, ON
- $60 to $68 CAD / hour
- Contract
We are looking for a Technical Forward Deployed Engineer who will be responsible for the hands-on development, engineering, and delivery of AI solutions and Proofs of Concept (POCs) based…
Added 4 days ago
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Lead Data Scientist, Innovation Lab
PakEnergy
Calgary, AB
- Full-time
Partner with the Lead Applied AI Engineer on GenAI and agentic work. They design and build the Lab's LLM, document AI and agentic systems. You bring the data, lead evaluation design, and…
Added 4 days ago
ZC
Machine Learning Engineer
Zurich Canada
Toronto, ON
- Full-time
Engineer, evaluate and productionize enterprise GenAI using foundation models, retrieval and agentic patterns.
Added 4 days ago
ZC
Machine Learning Engineer
Zurich Canada
Waterloo, ON
- Full-time
Engineer, evaluate and productionize enterprise GenAI using foundation models, retrieval and agentic patterns.
Added 4 days ago
TC
Quality Engineer / SDET – AI Chatbot Validation
Tata Consultancy Services
Toronto, ON
- $90,000 to $130,000 CAD / year
- Full-time
Create and execute test scenarios, test cases, and regression test suites.
Added 5 days ago
E
Agentic AI Developer
Equifax
Toronto, ON · CAN - Ontario - Toronto
- Full-time
…seeking a highly skilled Agentic AI Developer to be the core engineer constructing our next-generation AI…
Added 8 days ago
Software Engineer II
Planview Incorporated
Vancouver, BC
We are seeking a Software Engineer II to join our Portfolio Intelligence team. You will contribute to building the Insight Engine, a system that runs insights which use a combination of…
Added 8 days ago
S
Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Montreal, QC
- Full-time
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 8 days ago
E
Agentic AI Optimization Developer
Equifax
Toronto, ON · CAN - Ontario - Toronto
- Full-time
…we are seeking an analytical Agentic AI Evaluation & Tuning…
Added 8 days ago
SM
Lead Data & AI Engineer (Palantir Foundry/AIP) - Canada
Software Mind Americas
Ottawa, ON
- Full-time
Take agentic AI use cases from prototype to production: build, test, deploy, monitor
Added 8 days ago
AI
Quality Engineer (QE) SDET
Apptoza Inc.
Toronto, ON
- Contract
Quality Engineer (QE) SDET AI Chatbot Validation Key Roles Responsibilities Validate chatbot responses for accuracy| relevance| completeness| and consistency.
Added 8 days ago
SM
[OWD] Lead Data & AI Engineer (Palantir Foundry/AIP) - Canada
Software Mind
Ottawa, ON
- Full-time
Take agentic AI use cases from prototype to production: build, test, deploy, monitor
Added 9 days ago
QW
AI Quality Engineer (SDET)
Quantum World Technologies Inc.
Toronto, ON
- Contract
Develop and maintain test automation for chatbot validation where possible.
Added 9 days ago
AI
Quality Engineer (QE) SDET AI Chatbot
Apptoza Inc.
Brampton, ON
- Contract
Job TitleQuality Engineer (QE) SDET AI Chatbot ValidationKey Roles ResponsibilitiesValidate chatbot responses for accuracy| relevance| completeness| and consistency.Create and execute test…
Added 9 days ago
AI
AI Chatbot Quality Engineer
Apptoza Inc.
Brampton, ON
- Contract
…relevance| completeness| and consistency. Create and execute test scenarios| test cases| and regression test suites. Identify hallucinations| incorrect responses| formatting issues| and…
Added 9 days ago
ET
Quality Assurance Automation Engineer
Envision Technology Solutions
Toronto, ON
- Contract
Key Skillsets 5 Yrs of strong QA SDET Test Automation experience. Experience testing AI| LLM| GenAI| chatbots| virtual assistants| or conversational platforms. Knowledge of prompt…
Added 9 days ago
AI
Software Development Engineer in Test – GenAI / LLM
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Create and execute test scenarios, test cases, and regression test suites.
Added 9 days ago
Senior, Software Engineering (AEM + Workfront/Fusion)
DEPT®
Canada
We're looking for a Senior Software Engineer (P2), Workfront + AEM to help our clients' marketing and creative teams get their work done in one place. You'll be the backend developer who…
Added 11 days ago
T
Full Stack Developer
TEKsystems
Toronto, ON
- $80 to $90 CAD / hour
- Contract
Software Engineer for AI Engineering team developing and delivering AI solutions for Broker Submissions parsing and automation. This is an integration-focused initiative supporting Intact's…
Added 11 days ago
RB
Lead Senior Software Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
…vendor partners. We are looking for a lead senior software engineer, a seasoned technologist to build cutting-edge, products and solutions in cloud environments. You'll join a very dynamic,…

Straive

Senior Full Stack Gen AI Engineer/Technical Engagement Manager

Calgary, AB, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 21, 2026
Posting language: English
Posted: Oct 22, 2026

Original job description

Straive is a global leader in enterprise-grade Data Analytics and AI solutions, committed to empowering businesses across various industries with cutting-edge technology and expert insights. Backed by EQT, a top private equity firm, we are uniquely positioned to drive innovation through significant investments and an entrepreneurial spirit.

Our core focus is on delivering advanced Data Analytics & AI Solutions. By combining sophisticated technology with subject matter expertise, we deliver material impact on our clients' topline and streamline their operations. We specialize in providing tailored solutions across financial services, CPG, legal, pharma, life sciences, Energy, retail and logistics, helping them build robust data analytics and AI capabilities.

With a client base spanning 30 countries, Straive's strategically located teams operate from eight countries and is headquartered in Singapore. This global presence enables us to offer localized expertise with a worldwide perspective.

Join Straive to be part of a dynamic team at the forefront of data analytics and AI innovation. Here, you'll have the opportunity to contribute to transformative projects, supported by significant investments and an entrepreneurial drive fueled by our partnership with EQT.

Website: https://www.straive.com/ LinkedIn

Job Tittle- Senior Full Stack AI Engineer

Location - Calgary, Canada (Hybrid)

Employment Type- Fulltime

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

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

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More about this job

Responsibilities

Build, deploy, and support production-grade full-stack applications, including backend services, APIs, frontend components, integrations, and relevant Generative AI capabilities. Lead technical engagement and delivery, coordinate stakeholders and engineering teams, manage risks and production readiness, and coach 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 record of delivering production-grade applications. Candidates should have strong Python and/or JavaScript/TypeScript skills, experience with React, backend frameworks, databases, APIs, cloud, Docker, CI/CD, and production operations, as well as stakeholder, delivery ownership, and mentoring experience.

Skills

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

Visa sponsorship

Not detected in the job text

Keywords

Full-Stack Development
Python
JavaScript
TypeScript
FastAPI
Flask
Django
Node.js
Express
React.js
PostgreSQL
MySQL
SQL Server
REST APIs
Authentication
Authorization
Git
Automated Testing
CI/CD
Docker
Azure
AWS
Google Cloud Platform
Microservices
Kubernetes
Distributed Systems
Generative AI
Large Language Models
Retrieval-Augmented Generation
Vector Databases

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