Staff AI Engineer
Tasks
- Architect agentic AI systems
- Collaborate with engineering and product teams
- Communicate architectural decisions to stakeholders
- Define AI system architecture
- Design LLM orchestration patterns
- Design data architectures for embeddings
- Establish AI evaluation and governance
- Evaluate emerging AI frameworks
- Implement production deployment patterns
- Integrate CI/CD pipelines
- Lead model selection and tradeoffs
- Monitor AI system reliability
- Standardize agent interoperability
Perks/Benefits
- Child care assistance
- Flexible hours
- Health and dental plan
- Life insurance
- Monthly meal and culture voucher
- Remote work
Skills/Tech-stack
AI Services | AWS | AWS Bedrock | AWS CodeDeploy | Agent systems | Agentic AI | Arize | Azure | Azure AI | Azure AI Services | Azure Pipelines | Braintrust | CI/CD | Chunking | Django | Embeddings | Event Tracking | Express | Function Calling | GCP | GitHub Actions | Human-in-the-loop | Java | Jenkins | Kubernetes | Langchain | Langgraph | Langsmith | Language Models | Large Language Models | Model Context Protocol | Multi-Agent | Multi-Agent Systems | NLP | Observability | OpenAI Eval | Python | RAG | REST APIs | Ragas | Spring | The Loop | Tool-Calling | TypeScript | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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