Senior AI Operations Engineer – Freelance; Remote

Senior AI Operations Engineer – Freelance (Remote)

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SPACE
44 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 PIPE
44
, our AI integration and governance platform, together with AI‑enabled engineering teams. SPACE
44 is a remote‑first company. We value clear ownership, practical problem‑solving, and engineers who are comfortable running real systems in production.

Senior AI Operations Engineer. Not a research role or AI architect. Focus is on running AI systems in production: stability, quality, governance, and controlled evolution after go‑live. Work closely with SPACE
44 architects, engineers, and client teams to ensure AI agents, integrations, and knowledge sources behave reliably and safely in daily operations.

• Operate and maintain AI systems based on PIPE
  44 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

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

• 5+ years operating complex production systems (platform ops, SRE, production engineering, Dev Ops, 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

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

• 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

• 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

Mid‑Senior level

Part‑time

Engineering and Information Technology

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