Staff AI Engineer
Tasks
- Assess emerging LLM and agent frameworks
- Conduct design reviews
- Curate datasets for production use
- Design DAG based agent orchestration
- Drive LLM selection decisions
- Evaluate agents using benchmarking
- Implement retrieval-augmented generation
- Lead multi engineer technical projects
- Manage memory and state handling
- Mentor AI engineers on prompt optimization
- Monitor production pipelines
- Own end to end agentic pipeline architecture
- Resolve systemic quality and reliability issues
- Set prompt versioning best practices
- Translate cybersecurity needs into technical requirements
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Artificial Intelligence | Benchmarking | DAG | Data Pipelines | Evaluation | LLM orchestration | LLMOps | Language Models | Large Language Models | MLOps | Machine Learning | Multi-Agent | Multi-Agent Systems | Production Monitoring | Prompt engineering | Python | Regression testing | Retrieval-Augmented Generation | Statistical Testing
Education
N/A
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