Applied AI Engineer
Tasks
- Apply reinforcement learning to end to end agent systems
- Build agent libraries prompting strategies and benchmarking frameworks
- Build autonomous agent workflows for content operations
- Design modular frameworks for tools memory and evaluators
- Develop data pipelines for SFT and RL training
- Evaluate model behavior in live environments
- Integrate agents with browsers codebases and APIs
- Partner with stakeholders to align AI behavior with user expectations
Perks/Benefits
Skills/Tech-stack
API Orchestration | Agentic architecture | Anthropic API | Browser Automation | Data Pipelines | JavaScript | Language Model | Large Language Model | Machine Learning | Model Evaluation | OpenAI API | Prompt engineering | Python | Reinforcement Learning | SFT | Tool use | Web Automation
Education
N/A
Roles
AI | AI Engineer | Applied AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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