About this role
Role Overview
MaintainX is hiring a full-time Senior AI Platform Engineer to build the shared systems that allow teams to release AI-powered products reliably at scale. Based in San Francisco with remote flexibility, this position suits an experienced backend engineer with a strong background in artificial intelligence infrastructure and systems design.
Key Responsibilities
Requirements
Skills and Tools
Salary and Benefits
Base compensation ranges from $132,000 to $262,000 USD per year. Depending on the position, the total compensation package may also feature an annual bonus, commission, and equity. United States employees have access to specific corporate benefits, while Canadian and international staff receive distinct health coverage, retirement, and leave plans detailed by the recruiter.
About the Company
MaintainX provides a leading mobile-first work execution platform utilized by industrial and frontline teams to reduce unplanned downtime and optimize operations. Serving over 13,000 customers globally across millions of managed assets and work orders, the company became part of Autodesk in August 2026 under Autodesk Operations Solutions. The corporate mission centers on keeping the physical world operational by providing factories, hospitals, campuses, and fleets with high-quality maintenance tools.
How to Apply
Interested candidates should visit the official company careers page to submit an application for this position.
Skills and tech stack
Questions candidates ask
What is the location for the Senior AI Platform Engineer role?
The position is based in San Francisco with remote work options available.
How many years of experience are required?
Candidates must have five or more years of experience in Python backend development and systems design.
What is the salary range for this job?
The annual base pay ranges from $132,000 to $262,000 USD.
Which company employs this role?
This position is with MaintainX, which became part of Autodesk in August 2026.
What technical skills are needed?
Required skills include Python, cloud infrastructure on AWS, GCP, or Azure, Terraform, distributed systems, and LLM integration experience.
