Supervising Associate-Gen AI-EDS
JPY 8000K-10000K (estimate) Senior-level Full Time
Tasks
- Architect and deploy LLM solutions
- Build AI agents and multi-agent systems
- Build containerized AI services using Kubernetes
- Create automation frameworks using AI agents and APIs
- Deploy cloud native AI on Azure
- Design prompt engineering and RAG pipelines
- Drive AI solution lifecycle from PoC to production
- Implement LLM evaluation and monitoring
- Integrate LLM capabilities into enterprise applications
- Mentor teams and share AI architecture patterns
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | AIOps | App Service | Autogen | Azure AI | Azure AI Search | Azure App | Azure App Service | Azure Databricks | Azure DevOps | Azure Functions | Azure Key Vault | Azure OpenAI | Azure SQL | Azure SQL Database | Azure Storage | CI/CD | Chroma | Copilot Studio | CrewAI | Docker | Faiss | Google Gemini | Key Vault | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Microsoft Copilot | Microsoft Copilot Studio | Model Context Protocol | Observability | Python | REST API | Retrieval-Augmented Generation | SQL Database | Streamlit | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Architect | Cloud Solutions Architect | Cloud) | Engineer | Software Engineer | Solutions Architect
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