Senior Software AI Developer

Autodesk•Toronto, ON

11d

About The Position

The Autodesk access group is responsible for connecting customers to their products and data. The team is driving the transformation of Autodesk’s business models, account & user management. They solve complex problems, build highly scalable and reliable systems, and ensure seamless functionality for millions of users across product lines. The team is seeking a Senior Software AI Developer to design and implement AI features for platform development. This role involves collaboration with product managers, developers, and operations to design, implement, and maintain the platform and its roadmap.

Requirements

2-3 years of professional experience with building API's using Python or Node.js
Experience with AI Agent tools & frameworks
Experience building and integrating MCP tools
Excellent knowledge of REST API standards, Graph and web services
Experience taking requirements to design and building reusable modules
Experience with debugging, troubleshooting and problem solving issues
Bachelor’s degree or higher in Computer Science, Engineering or related field
Experience building Agentic experiences and AI Automation
Experience with AWS Bedrock and Strands
Experience building and maintaining large scale production system
Building distributed asynchronous systems
Experience in AWS and services like SQS, SNS, Elastic Search, Dynamo DB, RDS, Elastic Cache etc.
Demonstrates SDLC best practices in coding standards, code reviews, tests and delivery
Familiar with Agile/Scrum, continuous integration/delivery, and modern development practices

Responsibilities

Design, code, test, debug and document new and existing components to ensure that software meets business, quality and operational needs
Drive and participate in code and document reviews, mentoring team in best practices
Interpret and translate business needs to technical requirements and accurate estimates
Work with team to troubleshoot code level problems quickly and efficiently
Focus on scalability, security and availability of all applications and processes
Contribute to risk identification and risk mitigation strategies associated with the architecture
Contribute to technical roadmap and technical debt elimination, balancing time, resource, and quality constraints to achieve business and strategic goals and requirements