AI Engineer
Tasks
- Assess technical feasibility
- Build and deploy conversational agents
- Build end-to-end AI workflows
- Deploy AI solutions on Microsoft platforms
- Design AI solution architecture
- Design prompt-engineering workflows
- Develop Retrieval-augmented generation solutions
- Ensure responsible AI compliance
- Identify AI opportunities
- Implement multi-agent systems
- Integrate AI with REST APIs
- Monitor AI performance
- Optimize LLM cost
- Support AI adoption and documentation
- Translate requirements into AI use cases
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | APIs | Agent Framework | Agent Orchestration | Agent systems | Azure AI | Azure AI Foundry | Azure OpenAI | Batching | Caching | Copilot Studio | Cost Optimization | Fine Tuning | LLM Cost Optimization | Langchain | Langgraph | Language Models | Large Language Models | Machine Learning | Microsoft Agent | Microsoft Agent Framework | Microsoft Copilot | Microsoft Copilot Studio | Model selection | Multi-Agent | Multi-Agent Systems | Power Automate | Prompt engineering | Python | RAG | REST APIs | Retrieval-Augmented Generation | SQL
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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