Senior AI Full Stack Engineer

SynechronHalifax, NS
CA$110,000 - CA$120,000Hybrid

About The Position

We are seeking a Senior AI Full Stack Engineer to join a strategic technology initiative within a client's Capital Markets. The successful candidate will help design and develop modern AI-powered applications by combining expertise in data engineering, backend services, frontend development, and Generative AI. The ideal candidate is passionate about building scalable data products and AI solutions while working across the full technology stack.

Requirements

  • 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
  • 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
  • Advanced Python
  • FastAPI
  • REST API development
  • Async programming
  • Microservices architecture
  • React (18/19)
  • TypeScript
  • TanStack Query / Router / Table
  • TailwindCSS
  • Modern frontend architecture
  • Hands-on experience building RAG applications
  • Experience integrating Large Language Models
  • Prompt engineering
  • Vector databases
  • Model Context Protocol (MCP)
  • AI application orchestration

Nice To Haves

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

Responsibilities

  • Design and develop modern data pipelines using Dagster and dbt.
  • Build scalable backend services using Python and FastAPI.
  • Develop RESTful APIs and asynchronous services for high-performance applications.
  • Create responsive and intuitive web applications using React, TypeScript, TanStack, and TailwindCSS.
  • Build and optimize Retrieval-Augmented Generation (RAG) pipelines.
  • Integrate Large Language Models (LLMs) into enterprise applications.
  • Implement Model Context Protocol (MCP) integrations for AI agent workflows.
  • Develop reusable data products while ensuring data quality, lineage, and governance.
  • Collaborate with data engineers, AI engineers, product owners, and business stakeholders.
  • Follow software engineering best practices, including CI/CD, automated testing, and code reviews.

Benefits

  • A multinational organization with 60 offices in 20 countries and the possibility to work abroad.
  • 15 days (3 weeks) of paid annual leave plus an additional 10 days of personal leave (floating days and sick days).
  • A comprehensive insurance plan including medical, dental, vision, life insurance, and long-term disability.
  • Flexible hybrid policy.
  • RRSP with employer’s contribution up to 4%.
  • A higher education certification policy.
  • On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
  • Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
  • Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms.
  • A truly diverse, fun-loving and global work culture.
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