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Fullstack developer with Python, .NET & AI experience - Toronto, ON - Fulltime
Role: Fullstack developer with Python, .NET & AI experience
Location: Toronto, ON (Need Onsite day 1, hybrid 4 days from office)
Duration: Contract
Responsibilities:
- Design, develop, and maintain full-stack web applications using Python, .NET, and modern frontend frameworks.
- Build robust, scalable, and secure REST APIs and backend services.
- Develop responsive and user-friendly frontend components using technologies such as React, Angular, or JavaScript frameworks.
- Integrate AI/ML models, third-party AI APIs, or LLM-based capabilities into enterprise applications.
- Collaborate with product managers, designers, data scientists, and engineering teams to deliver end-to-end solutions.
- Optimize application performance, scalability, and reliability.
- Write clean, maintainable, and testable code following best practices.
- Participate in code reviews, architecture discussions, and technical planning.
- Work with relational and/or NoSQL databases for application data management.
- Deploy and manage applications in cloud environments such as Azure, AWS, or GCP.
- Troubleshoot, debug, and enhance existing applications.
- Ensure adherence to security, compliance, and software quality standards.
Requirements:
- Bachelor's degree in Computer Science or equivalent.
- 6+ years of software development experience.
- Experience building stable and maintainable production-grade web applications.
- Proficient with Python, .NET, JavaScript (Angular/Vue) for building production grade applications.
- Experience with Python Data Manipulation libraries, Pandas/NumPy.
- Excellent SQL skills for data modeling, constructing complex queries, and performance optimization.
- Experience with designing complex ETL data pipelines for mission critical applications.
- Proficient with AI development tools (Claude/GitHub Copilot/Cursor).
- Experience with cloud-native software development, especially Microservice architecture, Docker, and OAuth2.
- Strong communication skills, curiosity, and sense of empathy to effectively collaborate with investment professionals.
- Intrinsic motivation to leverage your skills, experience, and creativity to help others be successful.
- Passion for continuous learning and sharing knowledge with others.
Preferred skills:
- Experience with Apache Airflow, building out workflow DAGs and scheduling jobs.
- Experience with developing production grade MCPs/RAG pipelines/Knowledge Systems.
- Understanding of investment/trading industry, especially via experience in asset management or capital markets.
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