Senior AI Operations Engineer – Freelance (Remote)

Company Overview

SPACE44 builds and operates software systems for companies that need technology to work reliably in real, day-to-day operations.

We work as long-term engineering partners, embedding experienced engineers into client environments and taking responsibility for execution, stability, and ongoing improvement of production systems. Our work goes beyond traditional staffing or project delivery — we operate the systems we help build.

A growing part of our work focuses on operational AI. We design, integrate, and run AI systems inside our clients’ cloud or on-prem environments, ensuring they are secure, governed, and usable in everyday business processes. This includes deploying and operating PIPE44, our AI integration and governance platform, together with AI-enabled engineering teams.

SPACE44 is a remote-first company. We value clear ownership, practical problem-solving, and engineers who are comfortable running real systems in production.

Who We Are Looking For?

We are looking for a Senior AI Operations Engineer to operate and continuously improve AI systems built on the PIPE44 platform in client environments. This is not a research role and not an AI architect position. Your focus is on running AI systems in production: stability, quality, governance, and controlled evolution after go-live. You will work closely with SPACE44 architects, engineers, and client teams to ensure AI agents, integrations, and knowledge sources behave reliably and safely in daily operations.

What You’ll Do:

• Operate and maintain AI systems based on PIPE44 in client environments
• Configure, deploy, and manage AI agents and multi-agent workflows
• Control agent permissions, tool access, and knowledge boundaries
• Monitor AI behavior, execution outcomes, usage patterns, and costs
• Maintain governed knowledge sources and monitor retrieval quality (RAG)
• Handle quality incidents such as incorrect grounding or unexpected outputs
• Operate and support integrations with client systems (ERP, CRM, internal platforms, APIs)
• Maintain logs, audit trails, and operational reporting for enterprise governance
• Support the rollout of new agents and controlled scaling of existing systems
• Act as the operational owner of AI systems after go-live
  
  

What This Role Is Not

• No AI research
• No model training or fine-tuning
• No project sales or scoping
• No 24/7 on-call rotation
• No solo architecture ownership
  
  

This is a hands-on operational role, focused on keeping AI systems working in production.

Requirements:

• 5+ years operating complex production systems (platform ops, SRE, production engineering, DevOps, or similar)
• Experience supporting enterprise or client-facing systems
• Comfortable owning systems after launch
• Strong experience with API-based system integrations
• Familiarity with AI agents, workflow automation, or orchestration platforms
• Practical experience with LLM-based systems (OpenAI, Anthropic, Gemini, etc.)
• Understanding of RAG concepts at an operational and quality-control level
• Solid grasp of access control, permissions, and system governance
• Experience working with monitoring, logging, and operational metrics
• Bachelor's degree in Computer Science, Engineering, or related field
  
  

Nice to Have:

• Experience with AI platforms or agent frameworks
• Background in regulated or compliance-sensitive environments
• Experience operating long-running client systems rather than short projects
  
  

Embark on your SPACE44 journey with a few simple steps:

• Hireflix Chat (20 min): Share how you work and what matters most to you
• HR Sync (45 min): Connect your experience with our goals
• Code Challenge: Complete a 1-2 hour coding session
• Psychometric Insight: Take a 1-hour assessment exploring your strengths and working style
  
  

Working Model And Benefits

• Flexible Work Schedule: Enjoy a non-linear workday designed to enhance productivity and maintain a harmonious work-life balance, with core hours for team collaboration
• 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