Blend360 LLC
AI and Data Engineer
Edmonton, AB, Canada
Sponsorship not specifiedDetected 42 days ago
PythonCode ReviewSnowflakeVector DatabasesAWSGCPAzureKafkaMachine LearningSparkAirflowdbtData EngineeringData ScienceNLPLLMsRAGLangGraphResearch
About the role
- 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.
- 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.
Responsibilities
- 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
- Contribute to system design discussions and help shape the technical roadmap
- Experience building and deploying ML models or AI components in a production environment
- Solid understanding of data modeling, schema design, and the tradeoffs between different storage paradigms (relational, document, vector, columnar)
Requirements
- 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 with cloud data infrastructure - AWS, GCP, or Azure - and comfort operating in a cloud-native environment
- 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
- you can move forward when the requirements are still forming
- Must be able to commute to our Edmonton, AB, Canada office
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
- Synthetic personas are one of the most technically interesting and practically consequential challenges in applied AI right now.
- 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.
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