Data Engineer
Tasks
- Apply prompt engineering best practices
- Build scalable AI workflow systems
- Collaborate with clients to identify AI value opportunities
- Consult with stakeholders during workshops and presentations
- Design and deploy enterprise AI applications
- Develop orchestration layers for AI workflows
- Ensure AI systems are secure maintainable and scalable
- Implement RAG systems
- Implement information retrieval systems
- Implement tool calling mechanisms
- Integrate AI tools into user experiences
- Lead implementation strategies aligned with business goals
- Manage model context and prompt lifecycle
- Partner with Data Scientists Data Engineers and Analytics Engineers
- Translate ambiguous requirements into technical roadmaps
Perks/Benefits
- Employee assistance program
- Employee benefit spending account
- Flexible vacation
- Health insurance
- Mental health support
- Retirement savings match
- Transportation benefits
- Virtual health services
Skills/Tech-stack
API Integration | Agentic Workflows | Data Governance | Generative AI | Information Retrieval | Language Models | Large Language Models | Machine Learning | Microsoft Azure | Model Evaluation | Observability | Prompt engineering | Python | Retrieval-Augmented Generation | Security | Tool-Calling | Workflow Orchestration
Education
N/A
Roles
AI | AI Engineer | Architect | Data Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Software Architect
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