Applied AI Engineer
Tasks
- Align AI behaviors with user expectations
- Benchmark agent systems
- Build autonomous agent workflows
- Design and build agent libraries and prompting strategies
- Design modular tool memory and evaluator frameworks
- Develop data pipelines for SFT and RL training
- Evaluate model behavior in live environments
- Integrate agents with browsers codebases and APIs
Perks/Benefits
- 401k retirement plan
- Dental insurance
- Employee wellness programs
- Flexible work hours
- Medical insurance
- Paid sick leave
- Paid time off
- Vision insurance
Skills/Tech-stack
API Orchestration | Agent architecture | Benchmarking | Browser Automation | Data Annotation | Data Pipelines | Fine Tuning | LLM Prompt | LLM Prompt Engineering | Language Models | Large Language Models | Machine Learning | Model Evaluation | Prompt engineering | Python | REST APIs | RL | Reinforcement Learning | SFT | Supervised Fine Tuning | Tool-Calling | Web Automation
Education
N/A
Roles
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