MaintainX Logo

MaintainX

Senior AI Platform Engineer

Posted 2 Months Ago
Remote or Hybrid
Hiring Remotely in United States
132K-262K Annually
Senior level
Remote or Hybrid
Hiring Remotely in United States
132K-262K Annually
Senior level
Design, build, and operate scalable backend services and internal APIs for an AI platform. Integrate LLMs and AI tools into production workflows, ensure platform reliability via observability and incident response, optimize AI runtime performance and cost, and contribute to shared infra like CI/CD and deployments.
The summary above was generated by AI

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 Engineer 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.

Similar Jobs

2 Days Ago
Remote or Hybrid
115K-145K Annually
Senior level
115K-145K Annually
Senior level
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Designs and operates governance, security, deployment, monitoring, and cost-management frameworks for enterprise AI platforms. The role builds semantic models in Snowflake and Databricks, develops CI/CD and infrastructure-as-code solutions, enables multi-environment deployments, monitors AI reliability and usage, and implements auditability, responsible AI standards, RBAC, identity controls, and policy enforcement. It also partners with data and engineering teams to manage lineage, governed metrics, model operations, and cloud consumption across AI workloads.
Top Skills: AiopsSparkAWSAzure AdDatabricksDatabricks Agent BricksDatabricks GenieDbtDockerGenerative AiGitGithub ActionsIamInfrastructure As CodeKubernetesLanggraphMcpMlopsPythonRagRbacSnowflakeSnowflake CortexSQLTerraform
24 Days Ago
Remote or Hybrid
286K-392K Annually
Senior level
286K-392K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead the architecture and development of enterprise AI platforms, including foundation model training, LLM inference, agentic workflows, similarity search, guardrails, evaluation, governance, and observability. Optimize AI systems for cost, latency, throughput, scalability, safety, and transparency. Set long-term technical strategy, drive organization-wide standards, lead platform initiatives, partner cross-functionally, and mentor senior engineering and research leaders.
Top Skills: Agentic AiAWSAws UltraclustersAzureC#C++CudaGoGCPHugging FaceJavaLarge Language ModelsMulti-Agent WorkflowsPythonPyTorchScalaVector Databases
Yesterday
In-Office or Remote
North Carolina, USA
149K-282K Annually
Senior level
149K-282K Annually
Senior level
Cloud • Information Technology • Internet of Things • Professional Services • Software
Architect and operate Cisco’s AI Compute Platform, developing distributed control-plane services, Kubernetes platforms, GPU schedulers, APIs, controllers, and automated remediation systems. The role manages multi-cluster environments, tenant quotas, workload routing, GPU allocation, and reliability for large-scale training and inference workloads. It also leads architecture reviews, establishes engineering standards, mentors engineers, and drives Infrastructure as Code, GitOps, CI/CD, observability, incident response, and operational excellence.
Top Skills: Amd InstinctCgroupsCi/CdCustom Resource Definitions (Crds)EbpfGitopsGoGrafanaInfinibandKubernetesKubernetes ControllersKubernetes OperatorsKueueLinuxNcclNvidia B200Nvidia B300Nvidia H100Nvidia H200NvlinkOpenshiftPrometheusPythonSlurmSplunkTerraformVolcano

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account