Senior AI Platform Developer

Job summary

You will design and operate scalable backend services and internal APIs to standardize AI workloads in production. Additionally, you will ensure production reliability through observability, alerting, and performance tuning of AI runtimes.

Job details

MaintainX is a leading mobile-first work execution platform for industrial and frontline teams. More than 13,000 customers, including Duracell, McDonald's, Shell, DHL and Volvo, use MaintainX to cut unplanned downtime and run better operations, across 13.9 million managed assets and 79.5 million completed work orders. In August 2026 MaintainX became part of Autodesk, joining Autodesk Operations Solutions, the organization unifying Autodesk's operations platform alongside Tandem, FlexSim and Fusion Operations. Autodesk's strategy is to converge design, make and operate into one continuous lifecycle: design an asset, build it, run it, then feed what you learn running it back into the next design. Autodesk had design and make. Operate is the phase that tells you what actually happened, and it is ours. We’re looking for a Senior AI Platform Developer to build the shared systems that enable teams across MaintainX to ship AI-powered products reliably at scale. You will design and operate internal services that standardize how AI workloads run in production, with clear abstractions, safe defaults, and strong observability. This role is focused on platform leverage- reducing operational and cognitive load for other developers while raising the bar for reliability, performance, and delivery speed across the AI stack. What you’ll do: 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.

What you’ll do

You will design and operate scalable backend services and internal APIs to standardize AI workloads in production. Additionally, you will ensure production reliability through observability, alerting, and performance tuning of AI runtimes.

Requirements

The role requires 5+ years of experience in Python backend development and systems design. Candidates must have experience shipping AI-powered or LLM-integrated systems and working with cloud infrastructure and IaC tools.

Benefits

• Health coverage
• Retirement plan
• Leave
• Equity
• Annual bonus

Listed skills

• Microsoft Azure · Preferred
• CI/CD · Preferred
• Amazon Web Services · Preferred
• Google Cloud · Preferred
• Terraform · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• Backend development
• Systems design
• LLM integration
• Cloud infrastructure
• AWS
• GCP
• Azure
• Terraform
• Pulumi
• Distributed systems
• Asynchronous processing
• Observability
• CI/CD
• Capacity planning
• Incident Response
• IT Capacity Management
• Operations
• Tooling
• Workflow Management
• Amazon Web Services
• Artificial Intelligence
• Cloud Infrastructure
• Application Programming Interface (API)
• Equities
• Python (Programming Language)
• Autodesk
• Microsoft Azure
• Scalability
• Back End (Software Engineering)
• Systems Design
• Data Infrastructure
• Abstractions
• Cognitive Load Theory
• Flexsim

Job areas

• Technology
• Software
• Engineering
• Data & Analytics
• Platform Developer
• Platform Engineer
• Software and Applications Developers and Analysts Not Elsewhere Classified
• Validation Engineers
• Industrial Engineers

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