Frontier Agents Engineer (Applied AI)
San Francisco, CA; Seattle, WA; New York, NY
USD 180K-225K Mid-level Full Time
Tasks
- Architect LLM and machine learning workflows
- Build agent guardrails and safety controls
- Build retrieval and memory systems
- Collaborate with enterprise customers on architectures
- Deploy AI systems in enterprise cloud environments
- Design and deploy production AI agents
- Design evaluation frameworks for models and agents
- Develop multi agent planning and tool execution
- Implement human-in-the-loop workflows
- Monitor and improve agent reliability and cost
- Own AI experimentation lifecycle
- Prototype and validate AI solutions with customers
- Run ablation studies and regression tests
- Translate AI research into production systems
Perks/Benefits
- Commuter stipend
- Dental insurance
- Health insurance
- Learning and development stipend
- Paid time off
- Retirement benefits
- Vision insurance
Skills/Tech-stack
A/B | A/B Testing | AWS | Ablation Studies | Agent Frameworks | Azure | B testing | CI/CD | Cloud platform | Distillation | Docker | Fine Tuning | Google Cloud | Google Cloud Platform | Human Feedback | Human-in-the-loop | Knowledge graphs | Kubernetes | LLM-as-a-Judge | Language Models | Large Language Models | Learning from Human Feedback | Machine Learning | Monitoring | Multimodal AI | Multimodal Models | Observability | Planning | Prompting | Python | Reasoning | Regression testing | Reinforcement Learning | Reinforcement Learning from Human Feedback | Retrieval-Augmented Generation | Safety engineering | Semantic Search | The Loop | Tool use | Tracing | Vector Databases
Education
N/A
Regions
Countries
States
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