AI Data Engineer
Tasks
- Build LLM powered workflows for autonomous agents
- Build data pipelines for unstructured video audio and multimodal data
- Design systems from raw data to insight to autonomous action
- Develop embeddings for multimodal inputs
- Ensure performance scalability and reliability in data heavy systems
- Extract frames and audio features from media
- Implement agent memory planning tool use and execution loops
- Own ingestion to production architecture decisions
Perks/Benefits
Skills/Tech-stack
Agent memory | Amazon Web Services | Audio Processing | Batch Processing | Cloud infrastructure | Cloud platform | Codecs | Data Pipelines | Embeddings | Execution Loop | Frame Extraction | Google Cloud | Google Cloud Platform | Language Models | Large Language Models | Multimodal Models | Planning | Python | Scalable compute | Streaming Data | Tool use | Unstructured Data | Video Processing | Web Services
Education
N/A
Roles
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