Senior AI Engineer - LLM Evaluation
Tasks
- Accelerate delivery with AI coding assistants while maintaining testing and security
- Build RAG pipelines
- Build SDKs and orchestration patterns
- Build automated validation pipelines
- Define AI quality metrics tracking
- Deploy and operate LLMs in production
- Design evaluation frameworks
- Develop reusable AI platform capabilities
- Ensure responsible AI alignment
- Evaluate and adopt AI testing frameworks
- Fine tune and benchmark large language models
- Implement AI observability practices
- Integrate AI agents using Model Context Protocol
- Integrate evaluation into CI CD workflows
- Lead AI evaluation and quality strategy
Perks/Benefits
- N/A
Skills/Tech-stack
AI Governance | AWS | Agentic Workflows | CI/CD | Cloud Native | Cloud platform | Contextual retrieval | Continuous Deployment | Continuous integration | Evaluation automation | Feedback loops | Generative AI | Google Cloud | Google Cloud Platform | Knowledge graphs | LLM safety | Language Models | Large Language Models | Machine Learning | Microsoft Azure | Model Benchmarking | Monitoring | Observability | Prompt engineering | PyTorch | Python | RAG Pipelines | Regression testing | Responsible AI | Retrieval-Augmented Generation | Semantic Retrieval | Semantic Search | Tracing | Transformers | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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