AI and Data Engineer

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

• 35 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

Remote Work :

No

Employment Type :

Full-time