Python AI Developer
4 hours ago
6 month contract + possible extensions
Hybrid 1x per week in Toronto
Pay: $50-57/hr incorp
Required Skills & Experience
- Proven experience as a Full Stack Developer, with expertise in
Python (FastAPI) and - Demonstrated leadership in guiding development teams and delivering complex AI solutions.
- Hands-on experience with
Retrieval-Augmented Generation (RAG) pipelines, multi-agent orchestration (LangGraph, Microsoft Agent Framework), and reasoning systems. - Experience with
Azure cloud infrastructure:
ASE, AKS, APIM, Redis, and Azure SQL. - Track record of designing scalable, resilient AI infrastructure for enterprise workloads in Azure.
- Proficiency in deploying secure AI microservices using Python, FastAPI, and Docker within Azure.
- Client-side development experience with , , or React.
- Strong skills in unit and front-end testing (Cypress) and version control (Git).
- Ability to communicate technical concepts to business stakeholders, extract requirements, and collaborate effectively.
- Solid understanding of DevOps practices (CI/CD, containerization) and Agile development methodologies.
- Exceptional problem-solving, mentorship, and teamwork skills in diverse and inclusive environments
Nice to Have Skills & Experience
- banking experience
Job Description
Insight Global is seeking a Full Stack Developer with with deep expertise in Python (FastAPI), , and Azure cloud technologies to lead the design and delivery of cutting-edge AI-driven applications. This role combines technical leadership, hands-on development, and collaboration across business and technology teams to build scalable, secure, and innovative solutions.
Key Responsibilities include the following:
- Lead the design, development, and delivery of scalable web applications using Python (FastAPI) and , ensuring robust and efficient solutions.
- Architect and implement advanced AI capabilities, including Retrieval-Augmented Generation (RAG) pipelines, multi-agent orchestration (LangGraph, Microsoft Agent Framework), and reasoning systems.
- Build, deploy, and manage secure AI microservices in Azure environments, utilizing Python, FastAPI, and Docker for optimal reliability.
- Design and maintain Azure-native AI infrastructure, leveraging App Service Environments (ASE), Azure Kubernetes Service (AKS), Azure API Management (APIM), Redis, and Azure SQL to support enterprise workloads.
- Optimize scalability and performance of AI infrastructure, ensuring resilient solutions for high-demand applications.
- Develop modern client-side applications using JavaScript frameworks such as , , or React to deliver seamless user experiences.
- Establish and maintain comprehensive testing practices, including unit and front-end tests with Cypress, to ensure code quality and application reliability.
- Translate complex technical solutions into clear business language, extract requirements from stakeholders, and ensure alignment with organizational goals.
- Collaborate across technology and business teams to build integrated solutions and foster inclusive, cross-functional teamwork.
- Mentor and guide development teams, promoting best practices and continuous learning.
- Stay current with emerging technologies and industry trends, driving innovation and ongoing improvement.
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