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Added 4 months ago
IL
Senior Engineer Digital Distribution
Invesco Ltd.
Charlottetown, Prince Edward Island
- Full-time
…analytic frameworks. The position requires a strong technical hands-on-skilled engineer. A successful candidate must demonstrate strong analytical, design, programing, and debugging skills…
Added 3 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
I
Senior AI Engineer
iManage
Toronto, Ontario
- Full-time
…organize, and understand their most critical information. You bring hands-on depth in both model development and the infrastructure required to ship it reliably, and you thrive at the…
Added 2 months ago
Platform Applications Engineer Intern (8-month Co-Op)
Astera Labs Early Career
Vancouver, BC
…providers, server, and networking OEMs. As a Platform Application Engineer Intern, you’ll play a pivotal role in building and supporting the platforms that enable these products to thrive…
Added 4 months ago
Site Reliability Engineer
TextNow, Inc.
Waterloo, Ontario
TextNow is looking for motivated Site Reliability Engineer to own infrastructure, monitoring, logging, ci/cd, reliability and everything in between!
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
B
AI and Data Engineer
Blend360
Edmonton, Alberta
- Full-time
3–5 years of hands-on experience in software engineering, data engineering, ML engineering, or a closely related role
Added 1 month ago
Senior QA Automation Engineer
Tubi - Canada
Toronto, ON
Tubi is seeking a highly skilled and experienced Senior QA Automation Engineer to lead quality assurance initiatives for our cutting-edge streaming and AI-driven product features. This…
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 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
ISTQB Certification (Foundation or Test Automation Engineer) (preferred)
Added 2 months ago
C
Lead Phyton and Generative AI Engineer- Vice President
Citi
Remote, Canada
- Full-time
- Remote
We're searching for a highly skilled and experienced senior engineer and Python expert to lead the design and development of the various AI-related technologies as part of Services Tech AI…
Added 4 months ago
V
Lead Software Engineer
Validere
Calgary, Alberta · Toronto, Ontario
- Full-time
You’re an experienced and capable Full Stack Software Engineer who loves both technical challenges and team leadership. Our ideal Lead is strong in these key factors:
Added 5 months ago
DI
kdb+ Engineer
Data Intellect
Toronto, Ontario
- Full-time
2+ years of hands-on kdb+ development experience.
Added 5 months ago
DI
Senior kdb+ Engineer
Data Intellect
Toronto, Ontario
- Full-time
As a Senior kdb+ Engineer at [DI] you’ll be at the forefront of delivering high-performance, scalable solutions for some of the world’s most data-intensive financial institutions. You’ll:
Added 4 months ago
Senior Full Stack AI Engineer
Ombud
Quinte West, Ontario
We're hiring a senior full-stack engineer to build the next generation of Ombud's agentic AI platform. The work splits across two domains: building the agentic engine itself (LlamaIndex /…
Added 4 months ago
EM
FPGA Design Engineer
Evertz Microsystems Limited
Burlington, Ontario
- Full-time
The FPGA Design Engineer at Evertz contributes to the development of advanced broadcast equipment used in real-time video and audio production, processing, and transport for Live sports…
Added 4 months ago
PI
Full Stack Engineer
Patlytics, Inc.
Remote, Canada
- Full-time
- Remote
As a Full Stack Engineer at Patlytics, you'll own full-stack features end-to-end on a platform used by Fortune 500 legal and IP teams, shipping work that directly shapes how the world's…
Added 4 months ago
HT
Co-op Engineer - AI Software Engineering
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Internship
Huawei Canada has an immediate co-op opening for an Engineer.
Added 1 month ago
QA Automation Engineer
Tubi - Canada
Toronto, ON
Tubi is seeking a highly skilled and experienced QA Automation Engineer to lead quality assurance initiatives for our cutting-edge streaming and AI-driven product features. This pivotal…
Added 4 months ago
T
Senior Software Engineer - Professional Services
Trackunit
London, Ontario
- Full-time
As a Software Engineer in Trackunit’s Professional Services team, you’ll join a growing group of engineers building tailored solutions on top of IrisX – our operating data platform -…
Added 4 months ago
JI
Senior Data Scientist | Scientifique de données senior
Jesta I.S.
Westmount, Quebec · Montreal, Quebec
- Full-time
Engineer advanced features including promotions, seasonality, holidays, stockouts, lag variables, external signals, and signal processing techniques.
Added 2 months ago
MS
Senior Software Security Engineer
Motorola Solutions
Vancouver, BC · Quebec, QC · AB · BC · ON
- Full-time
This Senior Software Security Engineer will be responsible for analyzing software designs and implementations from a security perspective, identifying and proposing remediations to security…
Added 4 months ago
PG
Lead Full Stack Developer
Publicis Groupe Holdings B.V
Toronto, Ontario
- Full-time
…few years leading or anchoring a team technically. You are a hands-on builder and you hold the architectural picture of a multi-tier platform - React frontend, Spring Boot backend, FastAPI…
Added 3 months ago
CO
Staff Software Engineer - Capital One Travel Tech - Full-stack
Capital One
Toronto, Ontario
- Full-time
At least 6 years of hands-on development experience preferably using at least two or more of the following programming languages: JavaScript, Java, Angular/TypeScript, Python, Node.js,…
Added 4 months ago
EP
DevOps Administrator II
Engage People
Markham, Ontario
- Full-time
Hands-on experience operating production workloads on AWS (ECS, compute, networking, IAM, storage), with strong fundamentals in Linux server administration, web servers (NGINX, Apache), and…

Blend360

AI and Data Engineer

Edmonton, AB, Canada

Full-time

Apply About employer

Applications open in a new tab.

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

Apply About employer

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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