Agentic AI Scientist - Office of Data Science
Tasks
- Build A2A interoperable agents
- Build MCP servers and clients
- Design and orchestrate agent systems
- Draft technical reports and manuscripts
- Instruct and guide agentic AI techniques
- Instrument tracing and evaluations
- Lead agentic AI research and engineering projects
- Manage cost and latency budgets
- Mentor agentic AI best practices
Perks/Benefits
- N/A
Skills/Tech-stack
A2A | Agent Orchestration | Agents SDK | Auth0 | Automated testing | Azure Entra | Azure Entra ID | CI/CD | Checkpointing | Embeddings | Entra ID | GraphRAG | Guardrails | HIPAA | Human-in-the-loop | JSON-RPC | LLM-as-judge | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MCP | OAuth | OAuth 2 | OAuth 2.1 | OAuth Token Exchange | OAuth token | Okta | OpenAI Agents | OpenAI Agents SDK | OpenTelemetry | OpenTelemetry Tracing | PGVector | Pinecone | Pydantic | Pydantic AI | Python | RAG | RBAC | Red Teaming | Retrieval-Augmented Generation | SSO | The Loop | Token Exchange | Vector Search | Version control
Education
Roles
AI | AI Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
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