AI Fullstack Developer

Job summary

Design and develop AI-powered applications by building scalable data pipelines and backend services. Create responsive web interfaces and integrate Large Language Models using RAG and MCP workflows.

Job details

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

What you’ll do

Design and develop AI-powered applications by building scalable data pipelines and backend services. Create responsive web interfaces and integrate Large Language Models using RAG and MCP workflows.

Requirements

Requires a Bachelor's degree and over 8 years of software development experience, including 2+ years in GenAI/LLM applications. Proficiency in Python, React, Dagster, and dbt is essential.

Listed skills

• React · Preferred
• TypeScript · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• FastAPI
• React
• TypeScript
• Dagster
• dbt
• Generative AI
• RAG
• LLM
• Model Context Protocol
• REST API
• TailwindCSS
• TanStack
• Vector Databases
• Data Engineering
• Microservices

Job areas

• Software
• Technology
• Data & Analytics
• Engineering
• Consulting