Senior AI Platform Developer

Responsibilities

• Build and operate scalable backend services and internal APIs for the AI platform.
• Integrate LLMs and AI tool execution into reliable, production-ready workflows.
• Own production reliability for AI platform infrastructure through observability, alerting, and incident response.
• Improve performance and cost efficiency of AI runtimes through profiling, tuning, and capacity planning.
• Contribute to shared infra: CI/CD, observability, deployments

About you

5+ years of experience in Python backend development + systems design experience.

Experience shipping AI-powered or LLM-integrated backend systems.

Comfort working across multiple layers (services, data, infrastructure, AI tooling).

Experience with cloud infrastructure (AWS/GCP/Azure) and IaC (Terraform/Pulumi).

Experience with distributed systems and asynchronous processing.

Have familiarity with AI or data-heavy services where reliability and cost matter at scale.

Our mission is to keep the physical world running.

Factories, fleets, hospitals and campuses stay up because the people who maintain them have tools worth using. That is what we build.

Compensation and benefits.

Base pay is one part of the package. Depending on the role, compensation may also include commission, an annual bonus and equity. Benefits differ by country. For roles in the United States, Autodesk’s benefits are described at benefits.autodesk.com. For roles in Canada and other countries, the plan differs on health coverage, retirement and leave, and your recruiter will walk you through it.

Belonging.

We take pride in a culture where everyone can thrive. More at autodesk.com/company/global-belonging. More on where this is going: Autodesk CEO Andrew Anagnost on building the future of connected operations, and AOS SVP Stephen Hooper on welcoming MaintainX to Autodesk.