IT Specialist – AI Ecosystem Support (Eaglet Platform)
Location
Remote / Hybrid / Onsite (Role-dependent)
Employment Type
Full-Time | Contract | Contract-to-Hire
Department
Eagle-tech.ai Ecosystem Operations
About Eagle-tech.ai
Eagle-tech.ai is an intelligent technology ecosystem designed to unify AI-driven services across Q&A platforms, field services, ecommerce, governance, multilingual support, and workflow automation. At the core of this ecosystem is Eaglet, our AI orchestration engine that assists users, technicians, enterprises, and government entities.
We are building a scalable, resilient, and secure AI-powered infrastructure—and we are looking for IT Specialists to support, maintain, and evolve this ecosystem.
Role Overview
The IT Specialist – AI Ecosystem Support will be responsible for supporting Eagle-tech.ai’s infrastructure, applications, integrations, and AI-assisted workflows. This role is ideal for IT professionals with strong foundational skills who are interested in working alongside AI systems.
Experience with AI technologies is a plus but not required. Candidates with solid IT fundamentals and a growth mindset will be trained to work with Eaglet and AI-enabled systems.
Key Responsibilities
Core IT Support
- Monitor, support, and maintain Eagle-tech.ai platform services.
- Provide Tier 1–2 technical support for internal teams and ecosystem users.
- Troubleshoot system, network, and application issues.
- Support cloud-based environments and distributed systems.
AI Ecosystem Support (Eaglet)
- Assist with AI workflow operations and system health monitoring.
- Support AI integrations, APIs, and automation pipelines.
- Validate AI outputs, flag anomalies, and escalate issues when required.
- Work alongside Eaglet to resolve incidents and optimize workflows.
Systems & Infrastructure
- Support servers, cloud resources, and containerized services.
- Assist with deployments, updates, and patch management.
- Maintain system documentation and operational runbooks.
- Support security controls, access management, and compliance requirements.
Collaboration & Optimization
- Collaborate with engineering, AI, and product teams.
- Identify operational bottlenecks and recommend improvements.
- Participate in incident response, root cause analysis, and continuous improvement initiatives.
Required Qualifications
Minimum Requirements
- Strong foundational IT knowledge (systems, networking, troubleshooting).
- Experience supporting applications or infrastructure in a production environment.
- Familiarity with Windows and/or Linux operating systems.
- Understanding of basic networking concepts (TCP/IP, DNS, firewalls).
- Ability to document issues clearly and communicate effectively.
- Willingness to learn AI-enabled systems and workflows.
Preferred Qualifications (Not Required)
- Exposure to AI platforms, machine learning tools, or automation frameworks.
- Experience with cloud platforms (AWS, Azure, or GCP).
- Familiarity with APIs, REST services, or scripting (Python, Bash, PowerShell).
- Knowledge of DevOps or ITSM practices.
- Relevant certifications (CompTIA A+, Network+, Security+, ITIL, or similar).
Tools & Technologies
- Eagle-tech.ai Platform & Eaglet AI Orchestration Engine
- Cloud infrastructure and monitoring tools
- Ticketing and incident management systems
- Automation and workflow orchestration tools
Compensation & Benefits
- Competitive salary or contract rates (based on experience)
- Flexible work arrangements
- AI and cloud training opportunities
- Certification sponsorships
- Clear advancement pathways within the Eagle-tech.ai ecosystem
Career Growth Path
- IT Specialist
- AI Operations Specialist
- Systems Engineer
- AI Platform Engineer
- Ecosystem Architect
Why Join Eagle-tech.ai
- Work at the intersection of IT and AI
- Learn hands-on AI operations without requiring prior AI expertise
- Be part of a future-focused technology ecosystem
- Contribute to real-world solutions across multiple industries
How to Apply
Apply through the Eagle-tech.ai platform. Qualified candidates will complete a technical screening and ecosystem onboarding.
