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AI Software Developer skilled in Generative AI, PySpark and Databricks to build and productionize AI and Analytics

Job in Calgary, Alberta, T3S, Canada
Listing for: S.i. Systems
Contract position
Listed on 2026-02-15
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below

Seeking an AI Software Developer skilled in Generative AI, PySpark and Databricks to build and productionize AI and Analytics solutions.

Duration: 6 months to start - possibility of extension

Work: % remote (preference is for candidates in Calgary but as long as you are willing to work MST hours that if okay).

Must Have Skills

  • Previous experience as a software developer on AI and analytics solutions
    .
  • Strong proficiency in Databricks and Py Spark building scalable data pipelines and transformations
  • Hands-on experience with Generative AI
    , OpenAI APIs
    , RAG
    , and vector search/embeddings
  • Familiarity with computer vision techniques for document understanding
  • Experience with Azure data and AI services (e.g., Azure Document Intelligence)
  • Proficiency in SQL and Delta Lake/lakehouse architectures
  • Experience building ETL/ELT workflows and orchestrating pipelines (e.g., Databricks Workflows)
  • Strong Angular
    , Type Script , and HTML/CSS development skills
  • Understanding of CI/CD pipelines and automated testing practices
  • Nice to Have Skills

  • Prior experience working on AI document processing or document understanding solutions
  • Exposure to ML
    machine learning model deployment and monitoring in production
  • Familiarity with data governance and MLOps practices
  • Strong Data Science background is preferred
  • What you will be doing:

  • Serve as the software developer for multiple AI and analytics initiatives.
  • Initially assigned to our Engineering Document AI solution/initiative
  • Prototype and productionize AI/ML solutions for new business problems
  • Support experimentation, model development, and data pipelines
  • Collaborate with analytics, engineering, and business stakeholders on emerging AI use cases
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