Software Engineer – AI/ML Platform

Location: Denver, CO  — Hybrid
Duration: 6 Months Contract-to-Hire

Key Responsibilities

• Build and maintain Python-based bacSoftware Engineer – AI/ML Platform

  
  
  

  About the Role

  We are looking for a Software Engineer – AI/ML Platform to support a team building the cloud and backend infrastructure that powers AI/ML applications.

  This is an excellent opportunity for a strong Python backend, cloud, or platform engineer who has experience building production systems and is interested in working with AI/ML platforms, MLOps, LLM applications, and GenAI infrastructure.

  You will work across Python development, cloud infrastructure, APIs, distributed systems, CI/CD, containers, and AI/ML production environments, helping teams move AI/ML applications from development into reliable production environments.

  Key Responsibilities

  • Build and maintain Python-based backend services, APIs, and distributed systems.
  • Develop and manage cloud infrastructure using Terraform, Pulumi, or similar Infrastructure-as-Code technologies.
  • Build and maintain CI/CD pipelines and automated deployment processes.
  • Develop containerized applications and deployment environments using Docker and Kubernetes.
  • Support the production deployment and operation of ML models, LLM applications, RAG pipelines, and AI/agentic workflows.
  • Improve monitoring, logging, tracing, alerting, and system reliability.
  • Troubleshoot production issues and perform root-cause analysis.
  • Develop reusable platform tools and engineering patterns that improve developer productivity.
  • Collaborate closely with AI/ML engineers, data scientists, security, product, and platform teams.

  Required Qualifications

  • 5+ years of professional software engineering experience.
  • Strong hands-on experience with Python in production environments.
  • Experience developing backend services, REST APIs, microservices, and/or distributed systems.
  • Hands-on experience with at least one major cloud platform:
    • AWS
    • Azure
    • Google Cloud Platform
  • Experience with Terraform, Pulumi, or another Infrastructure-as-Code technology.
  • Experience with Docker/containerization.
  • Experience with CI/CD and cloud deployment practices.
  • Strong understanding of cloud-based and distributed systems.
  • Strong troubleshooting, communication, collaboration, and ownership skills.