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Added 4 months ago
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Senior Piping Stress Engineer 1 - Nuclear
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
Overseeing engineers who program or script (e.g., Python, MATLAB, advanced Excel) to automate engineering tasks, with review of automated outputs, is valued but not required.
Added 1 month ago
Staff Software Engineer - UI Platform
Okta
Toronto, ON
…We are looking for an experienced full stack Staff Software Engineer (with a focus on UI) who is passionate about building large-scale, mission-critical infrastructure in a fast-paced agile…
Added 4 months ago
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Research Engineer – Multimodal AI & Interaction
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Full-time
3+ years relevant research or industry experience (including graduate research), with strong Python (Typescript / Kotlin, C++/Java a plus) and collaboration skills across teams
Added 4 months ago
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TRM Labs - Senior Solutions Architect (Pre-sales)
deCircle
Remote, Canada
- Temporary
- Remote
…platform, and support clients in integrating and succeeding with our solutions. Your success will be measured by both the outcomes clients achieve with the platform and your leadership in…
Added 4 months ago
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Senior Platform Engineer
Scalar
Remote, Canada
- $150,000 to $250,000 CAD / year
- Full-time
- Remote
SDK generation - turning a customer's OpenAPI document into type-safe client libraries across TypeScript, Python, Go, PHP, Java, and Ruby, with code samples and automated GitHub sync
Added 4 months ago
IL
Senior Engineer Digital Distribution
Invesco Ltd.
Charlottetown, Prince Edward Island
- Full-time
You will be responsible for supporting advanced analytics initiatives and data integration. Interact with Business Owners, Product Owners, Business Data Analysts, and Application…
Added 2 months ago
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Firmware Engineer, Principal
Qualcomm
Toronto, ON
- Full-time
…a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or…
Added 2 months ago
CO
Distinguished Engineer
Capital One
Toronto, ON
- Full-time
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Distinguished Engineer
Added 4 months ago
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Senior AI Engineer
iManage
Toronto, Ontario
- Full-time
Designing and implementing production-ready LLM applications and APIs with monitoring, observability, and integration testing built in
Added 1 month ago
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Senior Water Resources Engineer
Egis Group
Edmonton, AB
- $105,000 to $130,000 CAD / year
- Full-time
The Senior Water Resources Engineer position is based in Edmonton, Alberta, Canada and is responsible for the planning, analysis, and delivery of water resources engineering and hydraulic…
Added 4 months ago
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Site Reliability Engineer (West Coast)
Sectigo
Vancouver, British Columbia · Ottawa, Ontario
- Full-time
…one of the largest, longest-standing, and most reputable CAs with more than 700,000 customers, including 65% of the Fortune 500. Sectigo holds six combined active leadership seats in the…
Added 2 months ago
Platform Applications Engineer Intern (8-month Co-Op)
Astera Labs Early Career
Vancouver, BC
Experience in software development with C, C++, C#, and/or Python.
Added 2 months ago
Firmware Engineer (Internship) - Vancouver
Astera Labs Early Career
Vancouver, BC
…through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera…
Added 4 months ago
Site Reliability Engineer
TextNow, Inc.
Waterloo, Ontario
…the world connects and that's because we're made up of people with curious minds who bring an optimistic, yet critical lens into the work we do. We're the largest provider of free phone…
Added 5 months ago
CS
DevOps Engineer - New Grad 2026
Cerebras Systems
Remote, Canada
- Full-time
- Remote
As a New Graduate Software Engineer, you will collaborate with world-class engineers to solve real-world challenges across the software stack. You will contribute to software systems that…
Added 4 months ago
C
Software Engineer, Adoption
Cohere
Remote, Canada
- $175,000 to $270,000 CAD / year
- Full-time
- Remote
Our stack includes Python, TypeScript with React, Postgres, and Kubernetes. We care more about strong fundamentals, product judgment, agency, and learning ability than prior experience with…
Added 4 months ago
Network Engineer, Foundation Services Automation
Meta
Quinte West, Ontario
Meta is looking for a talented, engineer to join the Edge and Network Services team. This team is responsible for processes and systems for deploying and supporting one of the world's…
Added 4 months ago
Network Engineer, Foundation & Support
Meta
Quinte West, Ontario
Meta is looking for an engineer to join the Edge and Network Services team. This team is responsible for processes and systems for deploying and supporting one of the world's largest, most…
Added 4 months ago
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AI and Data Engineer
Blend360
Edmonton, Alberta
- Full-time
…through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with…
Added 4 months ago
CM
Software Engineer
Canon Medical Informatics
Waterloo, Ontario
- Full-time
We are looking for a talented Software Engineer to join our team! In this role, you will work collaboratively with a team while taking ownership of complex features. The team’s work is…
Added 1 month ago
Senior QA Automation Engineer
Tubi - Canada
Toronto, ON
Familiarity with Python, TypeScript, or JavaScript for scripting and test automation.
Added 1 month ago
Senior Automation Engineer
Tubi - Canada
Toronto, ON
We are looking for a talented Automation Engineer to join our Automation Engineering team in Toronto. In this role, you will be responsible for designing and implementing automated tests…
Added 5 months ago
S
Site Reliability Engineer
Sectigo
Ottawa, Ontario
- Full-time
…one of the largest, longest-standing, and most reputable CAs with more than 700,000 customers, including 65% of the Fortune 500. Sectigo holds six combined active leadership seats in the…
Added 4 months ago
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Senior Technical Support Analyst
Verily
Remote, Canada
- Full-time
- Remote
…across a number of program offerings. As a Sr Software Support Engineer, you will work closely with internal stakeholders to identify, reproduce, troubleshoot and resolve deep technical…
Added 4 months ago
JI
QA Automation Specialist (12-month Contract) | Spécialiste QA automatisation (Contrat de 12 mois)
Jesta I.S.
Westmount, Quebec · Montreal, Quebec
- Full-time
In this role, you’ll work closely with Development, Product, and DevOps teams to design and maintain automated testing solutions that support scalable, high-performing ERP and retail…

Blend360

AI and Data Engineer

Edmonton, AB, Canada

Full-time

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Job details

Job type: Full-time
Experience: 3–5 years of hands-on experience in software engineering, data engineering, ML engineering, or a closely related role
Posting language: English
Posted: Jun 9, 2026

Original job description

Company Description

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com

Job Description

We are building a team of engineers in Edmonton, AB, Canada to develop a first-of-its-kind synthetic persona platform - an AI system that models human behavior, preferences, and decision-making at scale. This role sits at the intersection of software engineering, data engineering and applied AI: you will design the pipelines that power the personas and , the models and the platform deployments that bring them to life.

This is not a maintenance role. The platform is being built from the ground up, and every technical decision you make will shape what it becomes. You will work alongside researchers, data scientists, and product engineers in a small, high-trust team where curiosity and ownership are the norm.

What You Will Do

Design and build a scalable platform and the data pipelines that ingest, transform, and serve structured and unstructured data to AI models
Develop and iterate on AI/ML components - including LLM-based agents, embedding models, and behavioral simulation layers - that power synthetic persona generation
Architect and maintain the data infrastructure underpinning persona modeling: feature stores, vector databases, data lakes, and real-time serving layers
Collaborate with researchers to translate persona logic and behavioral frameworks into working system components
Write production-quality code, participate in code reviews, and contribute to engineering standards for the team
Monitor model and pipeline performance in production; identify and resolve issues proactively
Contribute to system design discussions and help shape the technical roadmap

Qualifications

Must be able to commute to our Edmonton, AB, Canada office

Core Technical Skills

3–5 years of hands-on experience in software engineering, data engineering, ML engineering, or a closely related role
Proficiency in Python and at least one data processing framework (Spark, dbt, Airflow, Prefect, or similar)
Experience building and deploying ML models or AI components in a production environment
Familiarity with LLMs and modern AI tooling: prompt engineering, fine-tuning, RAG pipelines, orand agent frameworks (LangChain, LangGraph LlamaIndex, CrewAI, or equivalent)
Solid understanding of data modeling, schema design, and the tradeoffs between different storage paradigms (relational, document, vector, columnar)
Experience with cloud data infrastructure - AWS, GCP, or Azure - and comfort operating in a cloud-native environment

Systems & Engineering Mindset

Ability to reason about system architecture: latency, throughput, scalability, and data consistency tradeoffs
Experience with APIs, microservices, or event-driven architectures (Kafka, Pub/Sub, or similar)
Comfort working across the stack - from raw data ingestion through to model serving and API exposure
Strong debugging instincts and a habit of writing observable, testable code

How You Work

Intrinsically motivated - you pursue hard problems because they interest you, not because someone handed you a ticket
Comfortable with ambiguity; you can move forward when the requirements are still forming
Collaborative by default - you ask questions, share context early, and bring others along
You read papers, experiment on weekends, and have opinions about how AI systems should be built

Nice to Have

Experience with Snowflake
Experience with behavioral modeling, simulation, or agent-based systems
Background in NLP, computational social science, or user modeling
Contributions to open-source AI or data tooling
Familiarity with synthetic data generation techniques or privacy-preserving ML
Experience working in a startup or early-stage product environment

Additional Information

Synthetic personas are one of the most technically interesting and practically consequential challenges in applied AI right now. The platform you help build will be used to simulate human decision-making in ways that have real product and business impact. You will have direct influence over architectural decisions, meaningful ownership of your components, and a front-row seat to a research area that is evolving fast.

*Must be able to work on-site at our Edmonton, AB, Canada location

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More about this job

Responsibilities

Design and build a scalable platform and data pipelines to power synthetic persona generation using AI and ML components. Collaborate with researchers to translate behavioral frameworks into production-quality system components and maintain the underlying data infrastructure.

Requirements

Requires 3-5 years of experience in software, data, or ML engineering with proficiency in Python and data processing frameworks. Candidates must be familiar with LLMs, cloud-native environments, and have a strong mindset for system architecture and scalability.

Skills

Python
Spark
Dbt
Airflow
LLMs
RAG Pipelines
LangChain
Vector Databases
Cloud Infrastructure
Data Modeling
API Design
Microservices
Kafka
MLOps
Prompt Engineering
System Architecture

Visa sponsorship

Not detected in the job text

Keywords

AI
Data Engineering
Machine Learning
LLM
Synthetic Personas
Python
Spark
Dbt
Airflow
Prefect
LangChain
LangGraph
LlamaIndex
CrewAI
RAG
Vector Databases
AWS
GCP
Azure
Snowflake
Kafka
Pub/Sub
NLP
Computational Social Science
User Modeling
Synthetic Data
Microservices
Event-Driven Architecture
Feature Stores
Data Lakes

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