AI Engineer
Tasks
- Build data pipelines
- Build end-to-end GenAI systems
- Collaborate with customers on-site
- Define success metrics for use cases
- Deploy GenAI solutions
- Design agentic workflows
- Develop RAG pipelines
- Evaluate LLM based systems
- Extract information from messy data
- Implement document understanding
- Implement testing and version control
- Monitor and maintain production systems
- Own model prompt design
Perks/Benefits
Skills/Tech-stack
AWS | Agentic Workflows | CI/CD | Cloud platform | Data Pipelines | Docker | Document Understanding | Evaluation | Google Cloud | Google Cloud Platform | Information Extraction | Language Models | Large Language Models | Machine Learning | Microsoft Azure | Model prompting | Python | Retrieval-Augmented Generation | Version control
Education
N/A
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