Staff Machine Learning Engineer - Generative AI & Full-Stack Applications
Work At Home-Illinois, United States
USD 106K-284K Senior-level Full Time
Tasks
- Build evaluation harnesses for LLM quality and safety
- Build full stack user interfaces
- Build production grade services and APIs
- Conduct red teaming and user feedback
- Design LLM solution architectures
- Develop and evaluate AI prototypes
- Develop reusable prompt management and policy enforcement components
- Enforce policy based filtering
- Identify and evaluate GenAI use cases
- Implement CI CD automation and templates
- Implement audit logging
- Implement authentication and authorization
- Implement end-to-end observability
- Implement model and application monitoring
- Implement prompt injection defenses
- Implement rag pipelines
- Implement safety and privacy controls
- Optimize retrieval accuracy cost and latency
- Support deployment, monitoring, and incident response
Perks/Benefits
- Dental insurance
- Medical insurance
- Paid time off
- Retirement savings
- Vision insurance
- Wellness programs
Skills/Tech-stack
APIs | Artificial Intelligence | Audit Logging | Authentication | Authorization | CI/CD | Containerization | Data Residency | Deployment Automation | Drift Detection | Embeddings | Error budget | Evaluation | Full Stack | Full-Stack Development | Function Calling | Incident Response | Infrastructure as Code | Infrastructure observability | Injection Defense | Kubernetes | Language Models | Large Language Models | Logging | Machine Learning | Metrics | Model Monitoring | Observability | Policy enforcement | Prompt engineering | Prompt injection | Prompt injection defense | Python | RAG | Red Teaming | Regulatory Compliance | Reranking | Retrieval-Augmented Generation | SLOs | Secure deployment | Stack development | Tool-Calling | Tracing | UI Development | Vector Search | “as-code”
Education
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