Data Engineer - Agentic AI & Enterprise Platforms
Tasks
- Build agent based AI solutions
- Design and build cloud data pipelines
- Enable tool and function calling
- Ensure data quality, reliability, and governance
- Expose data for feature ready retrieval datasets
- Implement retrieval-augmented generation
- Ingest and transform enterprise data
- Operate cloud data platforms
- Prepare datasets for AI and generative AI workloads
- Translate business data requirements into architectures
- Use prompt engineering
Perks/Benefits
- Certification opportunities
- Medical care
- Private & life insurance
- Sports card
- Therapeutic support
- Training access
- Wellbeing resources
Skills/Tech-stack
AWS | Agent systems | Azure | Cloud Native | Cloud-native data engineering | Data Engineering | Data Governance | Data Modeling | Data Quality | Function Calling | GCP | Gemini | Generative AI | Language Models | Large Language Models | Prompt engineering | Python | Retrieval-Augmented Generation | SQL | Tool-Calling | Vertex AI
Education
N/A
Roles
AI | AI Engineer | Data Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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