Applied Scientist Intern
Tasks
- Apply prompt engineering techniques
- Build coding agents using tool use
- Collaborate to integrate prototypes into product workflows
- Develop Python evaluation pipelines
- Document findings tradeoffs recommendations
- Evaluate model and agent performance
- Implement retrieval augmented generation systems
- Prototype LLM agent workflows
- Run experiments to measure quality latency cost
Perks/Benefits
Skills/Tech-stack
APIs | Evaluation | LLM Agents | Language Models | Large Language Models | Memory | Planning | Prompt engineering | Python | Retrieval-Augmented Generation | Structured Output | Testing | Tool use | Version control
Education
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