Senior Principal AI Agent / ML Engineer (OCI)
Tasks
- Build agent execution and inference services
- Build vector retrieval and RAG systems
- Coordinate multi-agent systems
- Define AI agent platform architecture
- Enforce safety and policy guardrails
- Implement tool calling and agent memory
- Integrate Model Context Protocol
- Operate and monitor AI platforms with observability
- Orchestrate AI workflows and multi step tasks
- Perform incident analysis and follow-up
- Set SLIs SLOs and production readiness criteria
Perks/Benefits
- 401k match
- Dental insurance
- Health insurance
- Paid Holidays
- Paid parental leave
- Paid sick leave
- Paid time off
- Vision insurance
Skills/Tech-stack
API Integration | Access Control | Autogen | Batching | Caching | Cloud infrastructure | Context Management | CrewAI | Docker | Embeddings | Evaluation | Fine Tuning | Function Calling | Governance | Identity Systems | Incident Response | Inference Optimization | Kubernetes | LLM | Langchain | Langgraph | Llamaindex | Long Context | Model Serving | Monitoring | Observability | Oracle Cloud | Oracle Cloud Infrastructure | Python | Quantization | RAG | Retrieval-Augmented Generation | SLI | SLO | Secrets management | Security | Tool-Calling | Tracing | Vector Database
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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