AI Engineer - Database Engineering
Tasks
- Analyze eval errors
- Build agentic workflows
- Build coding harnesses
- Build evaluation pipelines
- Create context engineering with function calling
- Create rubrics and metrics
- Create tool schemas and guardrails
- Deploy AI solutions
- Design evals with golden sets
- Implement agent teams verification and repair
- Measure AI performance
- Optimize AI systems in production
- Own features end-to-end
- Run experiments to optimize metrics
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | DBT | Data Modeling | Data Pipelines | Evals | Evaluation Pipelines | Function Calling | Go | Hill Climbing | LLM | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Semantic layer | Tool-Calling | TypeScript
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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