AI Engineer
Tasks
- Architect and deploy AI tools in secure enclaves
- Build RAG systems
- Capture AI requirements
- Coordinate static analyzers and automated testing pipelines
- Design LLM orchestration frameworks
- Develop and integrate LLM tooling
- Develop data preprocessing pipelines
- Fine-tune large language models
- Implement database solutions for RAG
- Ingest clean transform vectorize documentation and code
- Profile optimize and scale networked AI tools
- Store artifacts and manage audit trails
- Support Authority to Operate (ATO) processes
- Support security assessments
Perks/Benefits
- 401k matching
- Dental insurance
- Education assistance
- Health insurance
- Life insurance
- Long-term disability
- Paid Holidays
- Paid time off
- Short-term disability
- Vision insurance
Skills/Tech-stack
Agile | CI/CD | Confluence | Data Engineering | Data Preprocessing | Data vectorization | Database Design | Git | Jira | LLM integration | Language Models | Large Language Models | Machine Learning | Performance Profiling | Python | RAG | Relational databases | Retrieval-Augmented Generation | Rust | Secure Enclaves | Static Analysis | Vector Databases
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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