Generative AI engineer
Tasks
- Build RAG-architectures
- Define AI architecture and governance standards
- Design production ready GenAI architectures
- Design scalable, observable, maintainable systems
- Develop APIs and microservices
- Develop and optimize LLM-based solutions
- Develop embeddings and vector search pipelines
- Ensure performance observability and maintainability
- Implement retrieval strategies
- Implement reusable GenAI patterns
- Integrate with enterprise systems
- Orchestrate LLM workflows
Perks/Benefits
- N/A
Skills/Tech-stack
AI Governance | APIs | Agent Design | Agent design patterns | Design Patterns | Embeddings | Langchain | Language Models | Large Language Models | Microservices | Microsoft Copilot | Microsoft Foundry | Observability | Power Platform | Prompt Flow | Python | Retrieval-Augmented Generation | Scalability | Semantic Kernel | Vector Search
Education
N/A
Roles
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