Principal Engineer - Agentic AI Platform Engineering & Performance
Charlotte, United States
USD 125K-188K (estimate) Senior-level Full Time
Tasks
- Build LLMOps pipelines for evaluation and release
- Create developer tooling integrated with SDLC workflows
- Define end to end test strategy and team integration
- Define engineering approach for program portfolio solutions
- Define observability and SLAs for AI systems
- Design agent orchestration frameworks and reusable services
- Develop runtime governance for agentic AI systems
- Establish AI embedded SDLC delivery capabilities
- Implement secure AI integration patterns with CI CD
- Improve developer experience and delivery efficiency
- Lead architecture standards and technical roadmap
- Optimize AI performance for latency throughput cost
- Set technology tool stack using approved standards
Perks/Benefits
Skills/Tech-stack
Access Control | Agent Orchestration | Artificial Intelligence | CI/CD | Caching | Cost Optimization | Evaluation | LLMOps | Language Models | Large Language Models | Latency optimization | Model versioning | Observability | Parallel processing | Prompt engineering | RAG | Retrieval-Augmented Generation | Runtime Governance | SLAs | Secure Coding | Source Control | Test automation | Threat modeling | Token optimization
Education
N/A
Regions
Countries
States
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