AI Full-stack Developer
Toronto-Hybrid
Onsite Interview
Role: 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 Skills
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
Qualifications
- 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
Ideal Candidate Profile
The ideal consultant should have experience across:
- Python + FastAPI
- React + TypeScript
- Dagster
- dbt
- Data Engineering
- GenAI / RAG
- LLM integrations
- API development
- Modern cloud-native architecture
