AI Engineer
Tasks
- Assess technical feasibility
- Build and deploy AI solutions
- Create documentation and enablement
- Create prompt engineered workflows
- Design AI solution architecture
- Design conversational agents
- Develop RAG solutions
- Ensure responsible AI governance
- Identify AI opportunities
- Implement multi-agent systems
- Integrate AI with REST APIs
- Monitor AI performance
- Optimize LLM cost
- Prototype AI workflows
- Retrain models
- Support AI adoption
- Translate business requirements into AI use cases
- Tune prompts
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | API Integration | Agent Framework | Azure AI | Azure AI Foundry | Azure OpenAI | Copilot Studio | Fine Tuning | LLM optimization | Langchain | Langgraph | Language Models | Large Language Models | Machine Learning | Microsoft Agent | Microsoft Agent Framework | Microsoft Copilot | Microsoft Copilot Studio | Model Training | Power Automate | Prompt Tuning | Prompt engineering | Python | RAG | REST API | REST API Integration | REST APIs | Retrieval-Augmented Generation | SQL
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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