AI Developer – Rack Systems Engineering
Tasks
- Automate rack scale configuration readiness debug reporting
- Collaborate with firmware product ops system design and quality engineering
- Design and build Python AI agents
- Develop data processing orchestration and integration logic
- Identify repetitive tasks and convert to automated workflows
- Implement LLM driven multi agent workflows
- Implement enterprise ready AI solutions with security governance and deployment
- Integrate AI agents with design planning validation reporting sources
- Mentor engineers and guide AI workflow automation best practices
- Own end to end AI solution definition and deployment for rack workflows
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | CI/CD | Data Processing | Deployment | GitHub | Governance | Language Models | Language Processing | Large Language Models | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Orchestration | Python | Security | Studio Code | Version control | Visual Studio | Visual Studio Code | Workflow automation
Education
Roles
AI | AI Developer | Developer | Engineer | Software Engineer
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