Blend360
Technology
AIandDataEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“AI and Data Engineer at Blend360. Skills: Data Engineering, AI Engineering, ML Engineering, Software Engineering. Design scalable platform. Build scalable platform”
Industry & Context.
Debugging instincts
What They're Looking For.
Must Have
3-5 years experience, Python proficiency, Production ML deployment, Cloud data infrastructure, API experience, Microservices experience, Event-driven architectures
Nice to Have
Snowflake experience, Behavioral modeling experience, Simulation experience, Agent-based systems experience, NLP background, Computational social science background, User modeling background, Open-source AI contributions, Open-source data tooling contributions, Synthetic data generation experience, Privacy-preserving ML experience, Startup environment experience
What You'll Do.
Design scalable platform
Build scalable platform
Ingest structured data
Transform structured data
Serve structured data
Ingest unstructured data
Transform unstructured data
Serve unstructured data
Develop AI/ML components
Iterate on AI/ML components
Generate synthetic personas
Architect data infrastructure
Maintain data infrastructure
Translate persona logic
Translate behavioral frameworks
Write production code
Participate code reviews
Contribute engineering standards
Monitor model performance
Monitor pipeline performance
Contribute system design
Shape technical roadmap
How You'll Work.
Team & Collaboration
Work with researchers; Work with data scientists; Work with product engineers; Small high-trust team
Full Job 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](https://www.blend360.com/) 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 s oftware 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
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