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SynechronPosted 1 month ago

Senior AI Full Stack Engineer

$110,000–$120,000 year

On-siteToronto, Ontario, Canada or Halifax, Nova Scotia, Canada

Full TimeSenior LevelBachelors DegreeEnterprise

Job Summary

Design and develop modern data pipelines using Dagster and dbt, and build scalable backend services with Python and FastAPI. Create responsive web applications using React, TypeScript, and TailwindCSS while integrating Large Language Models into enterprise applications. Optimize Retrieval-Augmented Generation pipelines and implement Model Context Protocol integrations for AI agent workflows. Collaborate with data engineers, product owners, and stakeholders to develop reusable data products ensuring quality and governance. Follow software engineering best practices including CI/CD, automated testing, and code reviews within an Agile team. Join a strategic initiative supporting client Capital Markets clients at a global consulting firm with offices in 22 countries.

Required Qualifications

  • Bachelor's degree in Computer Science or equivalent
  • 6+ years of software development experience
  • 2+ years building GenAI/LLM applications
  • Strong communication and stakeholder management skills
  • Experience working within Agile teams
  • Data Engineering
  • Strong experience with Dagster
  • Hands-on experience with dbt
  • Good understanding of Medallion Architecture
  • Experience building scalable data pipelines
  • Data quality and validation frameworks
  • Experience developing data products
  • Backend Development
  • Advanced Python
  • FastAPI
  • REST API development
  • Async programming
  • Microservices architecture
  • Frontend Development
  • React (18/19)
  • TypeScript
  • TanStack Query / Router / Table
  • TailwindCSS
  • Modern frontend architecture
  • AI / Machine Learning
  • Hands-on experience building RAG applications
  • Experience integrating Large Language Models
  • Prompt engineering
  • Vector databases
  • Model Context Protocol (MCP)
  • AI application orchestration

Desired Qualifications

  • Azure or AWS Cloud
  • Docker & Kubernetes
  • CI/CD pipelines
  • GitHub Actions
  • PostgreSQL
  • Snowflake or Databricks
  • Financial Services or Capital Markets experience

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