Director - AI Research and Engineering Efficiency (Circuit Platform)
San Jose, California, United States of America
USD 296K-374K Executive-level Full Time
Tasks
- Benchmark LLMs and agent harnesses
- Build model evaluation harnesses
- Define agentic system architecture
- Define model strategy for frontier and open weight models
- Direct and mentor AI practitioners
- Drive model serving efficiency
- Establish evaluation metrics for safety quality and latency
- Establish secure observable auditable policy compliant AI standards
- Improve tooling reusable agent patterns and evaluation frameworks
- Lead architecture code reviews and technical design decisions
- Lead fine tuning of open weight models
- Manage platform scale for high volume inference
- Translate AI research into production platform capabilities
Perks/Benefits
- 401k matching
- Basic life insurance
- Dental insurance
- Long-term disability
- Medical insurance
- Paid parental leave
- Short-term disability
- Vision insurance
Skills/Tech-stack
Adversarial Testing | Agent Orchestration | Agent systems | Artificial Intelligence | Caching | Context Optimization | Distillation | Distributed Systems | Enterprise Architecture | Fine Tuning | GPU Utilization | Golden datasets | Human-in-the-loop | Inference Optimization | Kubernetes | Language Models | Large Language Models | Latency optimization | LoRA | Machine Learning | Model Evaluation | Model Serving | Model routing | Multi-Agent | Multi-Agent Systems | Observability | Online Experimentation | Open-weight models | Policy enforcement | Prompt engineering | QLoRA | Quantization | RAG | Ray | Retrieval-Augmented Generation | Security | Software Engineering | TensorRT-LLM | The Loop | Tool-Calling | VLLM
Education
Regions
Countries
States
Cities
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