Senior Forward Deployed Engineer
Identify high-impact business workflows, redesign them for AI agents, connect systems, and deploy and operate production agents while tracking quality, efficiency, cost, and business outcomes.
MaintainX is a leading mobile-first work execution platform for industrial and frontline teams. More than 15,000 customers, including McDonalds, Michaels, Cintas, Redimix, and U.S. LBM, use MaintainX to cut unplanned downtime and run better operations, across 16 million managed assets and 92 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.
Weโre 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.
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
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, Autodeskโs 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.
Identify high-impact business workflows, redesign them for AI agents, connect systems, and deploy and operate production agents while tracking quality, efficiency, cost, and business outcomes.
Own AI-powered healthcare product features end to end, from defining ambiguous problems with clinicians and operators to building, deploying, and monitoring full-stack workflows in production.
Design, build, and ship production-ready AI-powered web products end to end, combining full-stack engineering, intuitive interfaces, production LLM features, and reliable infrastructure.
Build production services, internal tools, and customer integrations for AI agents, developing reliable primitives and workflows for tasks such as meetings, browsing, search, email, and payments.
Embed with product teams to identify business problems suited to AI, integrate and extend existing AI services, and build production-ready AI systems with reliable data pipelines, model serving, and monitoring.