Applied AI Engineer
Tasks
- Build LLM applications
- Collaborate with cross functional teams to deliver prototypes
- Create prompting and evaluation frameworks
- Define stop criteria and stop failing hypotheses
- Develop end to end AI prototypes
- Explore large-scale datasets
- Implement RAG systems
- Use AI coding tools for rapid prototyping
- Validate result reliability
Perks/Benefits
Skills/Tech-stack
Agents | Anthropic | BigQuery | ChatGPT | Claude Code | Cursor | DBT | Data Modeling | Figma | Function Calling | Gemini | LLM Evaluation | Langchain | Language Models | Large Language Models | Linear | Looker | Machine Learning | Notion | OpenAI | Prompting | Python | RAG | Retrieval-Augmented Generation | SQL
Education
N/A
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