Senior AI Engineer
Tasks
- Architect AI conversational platforms
- Benchmark LLMs
- Build RAG pipelines
- Build multi-agent workflows
- Collaborate with stakeholders
- Conduct code reviews
- Configure tool and function calling
- Containerize and deploy AI services
- Create agentic workflows
- Deploy and manage LibreChat instances
- Design AI pipelines
- Design secure AI architecture
- Develop O365 connectors
- Evaluate LLM performance
- Fine tune prompt engineering strategies
- Implement monitoring and logging
- Implement prompt chaining
- Integrate LLM providers
- Manage CI/CD pipelines
- Mentor junior engineers
- Produce technical documentation
Perks/Benefits
- N/A
Skills/Tech-stack
Adaptive cards | Agentic Workflows | Autogen | CI/CD | Docker | GKE | Google Gemini | Graph API | JavaScript | Kubernetes | LLM | Langchain | Librechat | Llamaindex | Logging | Microsoft Graph | Microsoft Graph API | Microsoft Outlook | Microsoft Teams | MongoDB | Monitoring | Observability | OpenAI | PGVector | PostgreSQL | Prompt engineering | Python | RAG | SharePoint | System Architecture | TypeScript | Vector Database | Vector Search | Vertex AI
Education
Roles
Regions
Countries
States
Cities
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