Join MaintainX as a Senior AI Platform Developer to build scalable AI-powered backend services in a fully remote environment.
Posted by employer 1 month ago
First seen on Joblaze 1 month ago
Last verified on the company career page 14 hours ago
AI in the day-to-day
You will design and operate internal services that standardize how AI workloads run in production.
Requirements
- Experience
- 5+ years
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
The Senior AI Platform Developer at MaintainX focuses on creating and managing backend services and APIs that support AI-driven products. This role requires expertise in Python, cloud infrastructure, and distributed systems, with a strong emphasis on reliability and performance optimization. Ideal candidates have over five years of experience in backend development and a background in AI-integrated systems. The position is part of a dynamic team within a company that values innovation and operational excellence.
Joblaze insights
Quick facts
- Is the Senior AI Platform Engineer role remote?
- Yes — MaintainX lists this as a fully remote position.
- How much experience is required?
- At least 5 years of relevant experience for this Senior AI Platform Engineer role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Azure, GCP, Pulumi, Python, Terraform.
- What seniority level is this role?
- MaintainX targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior AI Platform Engineer role at MaintainX.
From the original posting
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.
Standard company text repeated across MaintainX's postings is omitted here.