Senior AI Operations Engineer – Freelance (Remote)
SPACE44Turkey4 hours ago
Part-timeRemote FriendlyEngineering, Information Technology
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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:
Requirements:
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
- No AI research
- No model training or fine-tuning
- No project sales or scoping
- No 24/7 on-call rotation
- No solo architecture ownership
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
- 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
Key Skills
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