Staff Machine Learning Engineer - Generative AI & Full-Stack Applications
Work At Home-Illinois, United States
USD 106K-284K Senior-level Full Time
Tasks
- Add authentication authorization and audit logging
- Build model evaluation harnesses for quality and safety
- Build production grade services and full stack experiences
- Collaborate on deployment monitoring and drift detection
- Contribute reusable libraries for prompt management retrieval tool calling and policy enforcement
- Design solution architectures with LLMs and enterprise systems
- Develop and validate AI prototypes with evaluation and red teaming
- Identify evaluate document GenAI use cases
- Implement RAG pipelines with retrieval reranking
- Implement safety privacy and compliance controls
- Improve developer experience with templates CI CD and documentation
- Instrument end to end metrics traces logs
- Mentor engineers on GenAI engineering practices
- Optimize accuracy cost and latency
- Participate in design and code reviews
Perks/Benefits
- 401k match
- Confidential counseling
- Dependent care resources
- Employee stock purchase plan
- Family leave
- Financial coaching
- Flexible work schedules
- Paid time off
- Tuition assistance
- Wellness programs
Skills/Tech-stack
APIs | Audit Logging | Authentication | Authorization | Backend Development | CI/CD | Containerization | Drift Detection | Embeddings | Evaluation | Full Stack | Full-Stack Development | Function Calling | Golden datasets | Golden sets | Guardrails | Infrastructure as Code | JavaScript | Kubernetes | LLM | Language Models | Large Language Models | Logging | Metrics | Model Monitoring | Observability | PHI protection | PII protection | Policy enforcement | Privacy | Prompt engineering | Prompt injection | Prompt injection defense | Prompt management | Python | RAG | Regression testing | Reranking | Retrieval-Augmented Generation | SLO | SRE | Security | Stack development | Tool-Calling | Tracing | Vector Search | “as-code”
Education
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