Senior AI Engineer
Arlington, VA, United States
USD 110K-180K (estimate) Senior-level Full Time
Tasks
- Build and deploy AI workflows in Azure and Databricks
- Conduct architecture reviews and code reviews
- Design end to end architectures with data pipelines APIs model services orchestration and monitoring
- Design secure integrations across enterprise systems and APIs
- Develop ML and LLM evaluation frameworks
- Ensure safety and reliability with testing deployment standards and incident readiness
- Establish MLOps and LLMOps standards for versioning deployment monitoring and rollback
- Implement observability with logging tracing and monitoring
- Implement predictive modeling optimization and LLM applications
- Lead production AI solution design and implementation
- Provide technical mentorship and engineering oversight
- Troubleshoot production issues across data infrastructure and application layers
Perks/Benefits
- Fertility benefits
- Flexible PTO
- Mental health coverage
- Paid parental leave
- Paid volunteer time off
- Wellness stipend
Skills/Tech-stack
API Development | Azure | CI/CD | Cost Optimization | Data Pipelines | Data leakage | Databricks | Deep learning | Deployment | Experimentation | LLMOps | Language Models | Language Processing | Large Language Models | Logging | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Monitoring | Natural Language | Natural Language Processing | Observability | Prompt injection | Python | Regression testing | Retrieval-Augmented Generation | Security | Tracing
Education
N/A
Roles
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