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Added 4 months ago
B
AI and Data Engineer
Blend360
Edmonton, Alberta
- Full-time
Proficiency in Python and at least one data processing framework (Spark, dbt, Airflow, Prefect, or similar)
Added 4 months ago
WT
Future Opportunities: Sr Software Developer - Platform Engineering
Wealthsimple Technologies
Remote, Canada
- $151,200 to $189,000 CAD / year
- Full-time
- Remote
dbt, Airflow, Snowflake, or similar tools (Data track)
Added 3 months ago
AI Native Engineer
CookUnity
Toronto, Ontario
You'll embed directly with the cross functional AI team as a dedicated AI engineer. Your job isn't to write code faster with AI. It's to fundamentally redesign how work gets done. You'll…
Added 2 months ago
A
Principal Data Engineer, User Success (Agentic Experiences)
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
The Principal Data Engineer will report to Director of Growth and Data Science in the Experience Foundations organization. This is a critical data science role for our agentic insights…
Added 2 months ago
A
Principal Data Engineer, User Success
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
The Principal Data Engineer will report to Director of Growth and Data Science in the Experience Foundations organization. This is a critical data science role for our agentic insights…
Added 2 months ago
Lead Marketing Data & Analytics Engineer
Jetson Home
North Vancouver, BC
…growth. We've built out a real data lake - Iceberg on AWS Glue, dbt for transformation, Fivetran for ingestion, Metabase for BI. The core framework exists. Meaningful work remains to refine…
Added 5 months ago
BS
Member of Technical Staff
Beacon Software
Toronto, Ontario
- Full-time
Data infrastructure experience. You have built or operated something non-trivial on a modern data stack: Kafka, Spark, dbt, Iceberg, Snowflake, Databricks, BigQuery, or comparable. You…
Added 4 months ago
IL
Senior Software Quality Engineer
Invesco Ltd.
Charlottetown, Prince Edward Island
- Full-time
The Senior Software Quality Engineer leads the design, execution, and oversight of complex test strategies to ensure the delivery of high quality, reliable software products for Finance…
Added 1 month ago
IL
Advanced Software Quality Engineer
Invesco Ltd.
Charlottetown, Prince Edward Island
- Full-time
The Advanced Software Quality Engineer leads the design, execution, and oversight of complex test strategies to ensure the delivery of high quality, reliable software products for the LCAR…
Added 6 months ago
CM
Founding Engineers
Career Mentors, LLC
Remote, Canada
- $150,000 to $450,000 USD / year
- Contract
- Remote
Stack: Python, Pandas, SQL, Snowflake, Spark, Kafka, Airflow, dbt, MLflow, Terraform
Added 6 months ago
K
Data Engineer
KUBRA
Mississauga, Ontario
- Full-time
Added 6 months ago
M
Lead, Data Engineer
McKesson
Remote, Canada
- Full-time
- Remote
The Lead Data Engineer is a senior individual contributor within McKesson’s Decision Intelligence organization, responsible for leading the design, delivery, and operationalization of…
Added 2 months ago
JC
BI Data Engineer
Jonas Club Software
Markham, ON · Canada - Markham - Ontario
- Full-time
Full stack engineer for BI / Reporting solution

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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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