Distinguished AI Engineer (Agentic AI Platform)
San Francisco, CA, United States
USD 269K-335K Senior-level Full Time
Tasks
- Author technical design documents
- Auto scale agents to meet tenant SLAs
- Build GenAI SDK and CLI starter kits
- Build shared services for memory and guardrails
- Conduct red team harness testing
- Create audit APIs for compliance
- Design agentic workflow framework
- Develop prompt libraries and canonical APIs
- Evaluate and standardize agentic frameworks
- Implement prompt firewalls and content filter hooks
- Implement vector search and RAG pipelines
- Lead and mentor engineering teams
- Optimize orchestration batching and retrieval caching
- Own Helm charts and operator automation
- Tune heuristics to reduce token spend
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | Autogen | Azure | Azure Machine Learning | C# | C++ | CLI Development | CRD | Content Filtering | CrewAI | Go | Golang | Google Cloud | Guardrails | Helm | Hierarchical memory | Java | Kubernetes | LLM Inference | LLMOps | Langchain | Langgraph | Llamaindex | Machine Learning | Multi Region Clusters | Multi-region | Multi-tenant | Multi-tenant Security | Multimodal RAG | Observability | Orchestration | Prompt engineering | Python | RAG | Red Teaming | Responsible AI | Retrieval Caching | SDK development | SageMaker | Scala | Semantic Kernel | Service Mesh | Similarity Search | Tenant Security | Vector Databases | Vector Search | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Platform | Platform Engineer
Regions
Countries
States
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