AI Data Engineer
Tasks
- Build LLM powered agent workflows
- Build scalable data pipelines
- Deploy and maintain AI data systems in production
- Design systems from raw data to insight and autonomous action
- Develop embedding and multimodal model workflows
- Extract frames and process codecs
- Implement agent memory planning tool use and execution loops
- Ingest unstructured video audio and multimodal data
- Own architecture decisions end-to-end
Perks/Benefits
Skills/Tech-stack
AWS | Agent memory | Audio Processing | Batch Processing | Cloud Computing | Cloud platform | Data Engineering | Data Pipelines | Embeddings | Execution Loops | Frame Extraction | Google Cloud | Google Cloud Platform | LLM Agents | Language Models | Large Language Models | Multimodal Models | Performance optimization | Planning | Python | Reliability | Scalability | Streaming Data | Tool use | Unstructured Data | Video Processing
Education
N/A
Roles
AI | AI Engineer | Data Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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