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AI Platform Operations Engineer – Freelance
4 giorni fa
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're looking for an AI Platform Operations Engineer to ensure the reliability, security, and governance of AI systems running on the PIPE44 platform in client environments.
This is a platform-focused role – you protect the systems. You'll work on deployment, access control, monitoring, and incident response. You don't need to be an AI expert on day one – we're looking for someone with strong operational discipline who's comfortable learning AI/RAG tooling on the job.
You'll be client-aware (able to communicate when needed) but not client-heavy. Your primary focus is keeping the platform running reliably and securely.
What You'll Do
Deploy and manage AI agents and multi-agent workflows
Configure and enforce access control, permissions, and knowledge boundaries
Maintain governance standards and audit trails
Build and monitor observability (logs, metrics, alerts)
Respond to incidents and manage failure modes
Ensure platform integrity across client environments
Support rollout of new agents and controlled scaling
Document operational procedures and runbooks
Required:
3+ years in production operations (DevOps, SRE, Platform Engineering, or similar)
Strong systems thinking and operational discipline
Experience with monitoring, logging, and alerting tools
Solid understanding of access control and permissions management
Comfortable with incident response and troubleshooting
Process-oriented with strong documentation habits
Willingness to learn AI/RAG systems on the job
Nice to Have:
Exposure to LLM-based systems or RAG pipelines
Experience with agent frameworks or workflow orchestration
Background in regulated or compliance-sensitive environments
Familiarity with Kubernetes, Terraform, or cloud platforms
What This Role Is Not
Not a heavy infrastructure/cloud architect role
Not client-facing as primary responsibility
Not AI research or model training
Not sales or pre-sales
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
