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SPACE44

Senior AI Operations Engineer – Freelance (Remote)

Posted 7 Hours Ago
Be an Early Applicant
Remote
Hiring Remotely in European Union
Senior level
Remote
Hiring Remotely in European Union
Senior level
Operate and maintain AI systems in client environments using the PIPE44 platform. Ensure stability, monitor performance, and manage integrations with client systems, focusing on governance and quality control post-launch.
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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

Top Skills

Anthropic
APIs
CRM
Erp
Gemini
Llm-Based Systems
Openai
Pipe44

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