SPACE4419.02.26
AI SCORE 8.5

AI Platform Operations Engineer - Freelance Remote

$80K–$120K/year

About the Role

We are seeking an AI Platform Operations Engineer - Freelance Remote to join our innovative team at SPACE44. In this role, you will be responsible for deploying and managing AI agents and multi-agent workflows, ensuring that our technology operates reliably in day-to-day operations. This position offers the flexibility of remote work while contributing to cutting-edge AI projects.

What You'll Do

  • Deploy and manage AI agents and multi-agent workflows to enhance operational efficiency.
  • Configure and enforce access control, permissions, and knowledge boundaries to maintain security standards.
  • Maintain governance standards and audit trails to ensure compliance and transparency.
  • Build and monitor observability through logs, metrics, and alerts to proactively address issues.
  • Respond to incidents and manage failure modes, ensuring platform integrity across client environments.
  • Support the rollout of new agents and controlled scaling to meet client needs.
  • Document operational procedures and runbooks to facilitate knowledge sharing and training.

Requirements

  • 3+ years of experience in production operations, including DevOps, SRE, or Platform Engineering.
  • Strong systems thinking and operational discipline with a focus on process-oriented approaches.
  • Experience with monitoring, logging, and alerting tools to ensure system reliability.
  • Solid understanding of access control and permissions management.
  • Comfortable with incident response and troubleshooting to minimize downtime.
  • Process-oriented with strong documentation habits to maintain clear operational guidelines.
  • Willingness to learn AI and RAG systems on the job to stay updated with industry trends.

Nice to Have

  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Familiarity with containerization technologies like Docker and Kubernetes.
  • Knowledge of scripting languages such as Python or Bash for automation tasks.

What We Offer

  • Flexible Work Schedule: Enjoy a non-linear workday designed to enhance productivity and maintain a harmonious work-life balance.
  • Professional Growth: Access advanced training opportunities in data science and machine learning to boost your career prospects.
  • Innovative Projects and Tools: Engage in cutting-edge projects using the latest tools and technologies within a progressive remote work environment.
  • Competitive Income: Receive a competitive income with regular performance reviews and potential raises every six months.
  • Global Team Dynamics: Collaborate with a diverse, international team that values openness and teamwork.
  • Fully Remote Environment: Work from anywhere with normal business hours and flexibility, no on-call rotation, and no planned travel requirements.
  • Gradual Onboarding: Start part-time with a planned transition to full-time as you get up to speed with our systems and processes.
Why This Job8.5 of 10

This freelance role offers the opportunity to work on innovative AI projects while enjoying a flexible schedule and competitive income.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficient in deploying AI models using tools like TensorFlow or PyTorch, and experienced with containerization technologies such as Docker and Kubernetes for scalable operations.

Strong understanding of DevOps principles, with hands-on experience in CI/CD pipelines and automation tools like Jenkins or GitLab CI to ensure smooth deployment and monitoring of AI applications.

Demonstrates a proactive mindset in incident response and troubleshooting, with a solid grasp of logging and monitoring tools such as Prometheus, Grafana, and ELK Stack for maintaining system reliability.

Learning Resources

AI Platform Operations with Kubernetescourse

Career Path

AI Platform Operations Engineer - Freelance Remote(Now)DevOps Engineer(1-2 years)Senior Site Reliability Engineer (SRE)(3-5 years)

Market Overview

Market Size 2024
$126B
Annual Growth
38.2%
AI Adoption
77%
Investment
+150%
Labour Demand
+30%
Avg Salary
$120K

Skills & Requirements

Required
AIDevOpsSRE
Growing in Demand
MLOpsKubernetesData Engineering
Declining
Traditional IT OperationsOn-Premise Infrastructure Management

Domain Trends

Rise of MLOps
MLOps is gaining traction, with 40% of organizations adopting it to streamline AI deployment and management.
Increased Focus on Security in AI
75% of companies are prioritizing security measures in AI implementations, leading to a surge in demand for access control and incident response skills.
Shift to Cloud-Native AI Solutions
By 2025, 60% of AI workloads are expected to be run on cloud-native platforms, necessitating skills in DevOps and container orchestration.

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