Data Engineer
Tasks
- Advise stakeholders during workshops and executive presentations
- Collaborate with cross-functional teams for AI solutions
- Define AI implementation strategies aligned to business objectives
- Drive best practices for prompt engineering and RAG
- Ensure secure maintainable AI implementations
- Guide teams building scalable AI workflows and retrieval systems
- Implement tool calling and orchestration patterns
- Lead design and delivery of enterprise AI applications
- Manage context and evaluation testing for AI systems
- Partner with clients to identify AI powered opportunities
- Translate requirements into technical roadmaps and implementation approaches
Perks/Benefits
- Employee and family assistance program
- Flexible scheduling
- Flexible vacation
- Health insurance
- Long-term disability
- Mental health support program
- Personal spending account
- Personal technology reimbursement
- Retirement plan with employer match
- Short-term disability
- Virtual healthcare
- Winter holiday closure
- Work-life balance
Skills/Tech-stack
AI Governance | API Integration | Artificial Intelligence | Cloud Platforms | Evaluation | Generative AI | Language Models | Large Language Models | Machine Learning | Microsoft Azure | Observability | Orchestration | Privacy | Prompt engineering | Python | Retrieval-Augmented Generation | Security | Tool-Calling | Vector Databases
Education
N/A
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