AI Full Stack Engineer
Senior contract role in Toronto (hybrid) building AI-powered applications for a capital markets client: data pipelines with Dagster and dbt, Python/FastAPI backends, React/TypeScript frontends, and GenAI features like RAG pipelines and LLM/MCP integration.
- Compensation
- Not disclosed
- Location
- Toronto, Canada
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Contract
- Experience
- 2+ years
- Category
- Fullstack
- Posted
Skills
Must have
- 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
- Bachelor's degree in Computer Science or equivalent
- 8 years of software development experience
- 2 years building GenAI/LLM applications
- Strong communication and stakeholder management skills
- Experience working within Agile teams
Nice to have
- Azure or AWS Cloud
- Docker & Kubernetes
- CI/CD pipelines (e.g. GitHub Actions)
Full description
Job Description
Job Description Role Title: Sr. AI Fullstack EngineerLocation: Toronto, Hybrid – now it 2 days onsite, will change to 4 days onsite after November 2026ContractClient- SynechronRole: Sr. AI Fullstack Engineer
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.
Key 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.
Required SkillsData 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 SkillsAzure or AWS Cloud
- Docker & Kubernetes
- CI/CD pipelines