Senior AI Platform Engineer | Hybrid, Equity & Unlimited PTO

MaintainX; San Francisco (CA); Hybrid; USD 180,000 - 280,000; Full time

Benefits offered by this job

Hybrid work

Unlimited time off

Equity/Stock options

Performance bonuses

L&D budget

Wellness programs

Job summary

MaintainX, a leading mobile-first work execution platform, is seeking a Senior AI Platform Engineer to design and operate backend services that power AI-enabled products at scale.

You will integrate LLM workloads, own production reliability with observability, and optimize AI runtimes for performance and cost.

Ideal candidates have 5+ years in Python backend development, experience with cloud infra (AWS/GCP/Azure) and IaC, and comfort across services, data, and infrastructure.

Qualifications

• 5+ years of Python backend development and systems design.
• Experience shipping AI-powered or LLM-integrated backend systems.
• Experience with cloud infrastructure (AWS/GCP/Azure) and IaC (Terraform/Pulumi).
• Familiarity with distributed systems and asynchronous processing.
• Ability to build scalable backend services and internal APIs.

Responsibilities

• Build and operate scalable backend services and internal APIs for the AI platform.
• Integrate LLMs and AI tool execution into workflows.
• Own production reliability for AI platform infrastructure with observability, alerting, incident response.
• Improve performance and cost efficiency of AI runtimes through profiling and tuning.
• Contribute to shared infra: CI/CD, observability, deployments.

Skills

Python backend

Systems design

LLM integration

Cloud infra

IaC Terraform/Pulumi

Distributed systems

Async processing

Job description

MaintainX, a leading mobile-first work execution platform, is seeking a Senior AI Platform Engineer to design and operate backend services that power AI-enabled products at scale.

You will integrate LLM workloads, own production reliability with observability, and optimize AI runtimes for performance and cost.

Ideal candidates have 5+ years in Python backend development, experience with cloud infra (AWS/GCP/Azure) and IaC, and comfort across services, data, and infrastructure.