Job Requisition ID # 26WD101802 Position Overview

At Autodesk, we are exploring new ways to make design and engineering software smarter, more intuitive, and more personal. AI is helping us rethink how millions of people interact with products like AutoCAD, Revit, Autodesk Construction Cloud, and Forma. The Personalized Experiences Team works across Autodesk to bring AI, machine learning, and personalization into our products. We collaborate with product teams, experiment with new ideas, and build capabilities that benefit customers across the Autodesk ecosystem. We are looking for a Senior Software Developer who enjoys building great software, solving compelling problems, and thinking in systems, not just files. You will help develop AI-powered experiences, including the next generation of the Autodesk Assistant app, and the applications and services behind them, working primarily with TypeScript, Electron, and Python. You will work alongside software engineers, applied scientists, and product teams to build solutions that are reliable, easy to extend, and ready to evolve as AI technologies advance. When given a new feature, your first question should be "Where does this belong?" and only then "How do I write it?" Public Context

Learn more about Autodesk Assistant (https://www.autodesk.com/solutions/autodesk-ai/autodesk-assistant) and Autodesk's public announcement of its next-generation standalone Assistant experience (https://adsknews.autodesk.com/en/pressrelease/autodesk-advances-agentic-ai-in-its-three-industry-clouds/) . Responsibilities

Design and build features for AI-powered personalization across Autodesk products, including the next-generation Autodesk Assistant experience

Develop and improve desktop applications, APIs,



and supporting services

Build modular, extensible systems that make it easier to introduce new capabilities as products evolve

Explore practical integrations for AI technologies, including LLMs and intelligent agents

Design clear contracts for plugins, manifests, registries, SDKs, public APIs, and internal interfaces where they are truly needed

Protect dependency direction, data ownership, public contracts, and package boundaries

Identify architectural drift, cycles, leaky abstractions, and coupling risks, then propose practical fixes

Write short technical proposals, architecture notes, invariants, and decision records before meaningful changes

Improve developer tools, workflows, scaffolding, lint rules, tests, ratchets, and CI checks so the team can build and deliver with confidence

Work effectively with both human teammates and AI coding agents by keeping code, docs, and project layout predictable

Minimum Qualifications

BS or MS in Computer Science, Software Engineering, or a related field, or equivalent practical experience

Experience with AWS or similar cloud

5+ years building and maintaining large, long-lived software applications. We value having lived with your design decisions over time more than having started many greenfield projects





Strong TypeScript skills and solid software engineering fundamentals

Experience designing and working with complex applications, APIs, or distributed systems

Experience with Electron or comparable desktop application architecture

Python experience, especially where Python integrates with a larger application or service layer

Strong fundamentals in software design: separation of concerns, dependency management, API design, contract design, versioning, and incremental evolution

Good problem-solving skills, sound engineering judgment, and an appreciation for clean, maintainable code

Comfort writing tests and using automation to enforce architectural conventions

Strong written communication: proposals, architecture decision records, design notes, and developer-facing docs

Preferred Qualifications

Experience with AI-powered applications, LLMs, RAG, AI agents, recommendation systems, or personalization systems

Experience with Agentic Framework such as : LangGraph, LangChain, or comparable orchestration frameworks

Experience building SDKs, plugin systems, extension registries, or marketplace-like systems

Experience with Electron main/renderer boundaries, IPC, preload scripts, context isolation, packaging, and cross-platform desktop concerns

Experience designing local service boundaries between TypeScript/Electron and Python

Experience with cloud services, APIs, or distributed systems.

Experience creating internal tooling, code generators, lint rules, dependency checks, or architectural CI gates

Experience maintaining public or semi-public APIs over multiple versions

Experience using AI-assisted development tools and workflows

The Ideal Ca

📌 Senior Full Stack Engineer, Applied AI (Vancouver)
🏢 Autodesk
📍 Vancouver