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Salary
$79k – $87k per year
Location
In office (Toronto, Halifax)
Seniority
Senior · 6+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Synechron is a global digital transformation, technology, and management consulting firm headquartered in New York City. Founded in 2001 by Faisal Husain, Tanveer Saulat, and Zia Bhutta, the company specializes exclusively in end-to-end IT solutions, systems integration, and business consulting for the Financial Services, Banking, Asset Management, and Insurance (BFSI) sectors.

We are

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17,000+, and has 57 offices in 22 countries within key global markets.

Our challenge

We are seeking a Senior AI Full Stack Engineer to join a strategic technology initiative within 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.

Additional Information*

The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Toronto, ON/Halifax, NS is CAD $110k - CAD $120k/year & benefits (see below).

The Role

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.

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

We offer:

  • 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.

S YNECHRON’S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

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