Senior Software Developer, MCP/AI

This is a fully remote position, open to applicants in Canada.

📋 Description

• Create and execute intricate agentic subsystems for tool and capability composition, agent orchestration, context retention, and retrieval (RAG).

• Take full ownership of subsystems from requirements gathering and design to implementation, evaluation, deployment, and ongoing support.

• Develop and manage assessments of AI behavior, focusing on quality, safety, latency, and cost-effectiveness.

• Integrate trust into agentic workflows through human-in-the-loop review checkpoints, traceability, reversibility, and confidence signaling mechanisms.

• Evaluate trade-offs among model selection, prompting/orchestration, and system architecture.

• Contribute to the architecture of the agentic platform and facilitate cross-product integrations.

• Lead root-cause analysis for production challenges and enhance quality through code reviews, automated testing, and CI/CD practices.

• Collaborate with Product, UX, QA, and Visualization Solutions teams to transform customer workflows into technical implementations.

• Guide and mentor junior developers.

• Develop agentic AI functionalities for Autodesk’s 2D/3D visualization products and Viewer MCP platform.

⛳️ Requirements

• Bachelor's or Master's degree in Computer Science / Computer Engineering, or equivalent professional experience.

• Over 5 years of experience delivering production-grade software.

• Strong expertise in TypeScript/JavaScript and contemporary web technologies, particularly React.

• Proven experience in creating AI/ML-driven features, including LLMs, agents, orchestration, RAG systems, or similar applications in a production environment.

• Practical ML knowledge in prompt/agent design, retrieval, and assessing model/agent performance.

• Comprehensive understanding of distributed systems, APIs, and service-oriented architectures.

• Practical experience with automated testing, CI/CD processes, and Git workflows.

• Proficient communication skills in English.

• Experience working in Agile settings.

• Preferred: knowledge of Model Context Protocol (MCP), agent frameworks, or composable tool/capability architectures.

• Preferred: familiarity with vector stores, embeddings, and production-quality RAG implementations.

• Preferred: experience with Node.js and cloud-native architectures such as AWS and Docker, along with observability tools.

• Preferred: experience contributing to platform-level or cross-team technical projects.

• Preferred: understanding of 2D/3D visualization, CAD/BIM, or graphics technologies like WebGL/WebGPU.

🏝️ Benefits

• Potential for annual cash bonuses.

• Commissions available for sales roles.

• Possibility of stock grants.

• Comprehensive benefits package offered.

• Opportunity for remote or home-based work.

• In-person onboarding and/or ID verification may be necessary.