Staff Engineer
Tasks
- Deliver end to end features from UI to backend
- Develop labeling strategies and feature stores
- Establish safety guardrails and human-in-the-loop processes
- Implement unit regression and end to end testing
- Instrument analyze and optimize token usage and caching
- Mentor and raise code design standards
- Optimize cost and performance
- Own AI workflow architecture
- Shape data contracts and feedback loops
- Ship production AI services
- Translate product intent into technical plans and roadmaps
Perks/Benefits
- Career development access
- Employee resource groups
- Flexible work from home
- Generous paid time off
- Mental wellness programs
- Paid volunteer time
- Phone and internet reimbursement
- Physical wellness programs
- Work-life balance programs
Skills/Tech-stack
API Integration | Autoscaling | Batching | Caching | Compliance | Containers | Data Governance | Distillation | Distributed Training | Embedding stores | End to End | End-to-End Testing | Eventing | GPU resource management | Go | Hugging Face | Java | Kubernetes | LLM | Langchain | Language Models | Large Language Models | Lifecycle Management | Logging | MLflow | Metrics | Microservices | Model Lifecycle | Model Lifecycle Management | Natural Language | Natural language interfaces | Observability | PII handling | Performance optimization | Prompt engineering | Queues | RAG | Regression testing | Resource Management | Retrieval-Augmented Generation | Rust | Service Mesh | Tenant Isolation | Text-to-SQL | Token usage | Tracing | UI | Unit Testing | Vector Databases | Vector indexing
Education
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