Senior‑Level AI Engineer (Python)
Tasks
- Architect and deploy networked AI tools in secure enclaves
- Build automated testing pipelines for AI
- Capture AI requirements
- Clean transform and vectorize artifacts for LLM use
- Design and implement database solutions for RAG and audit trails
- Design develop and maintain LLM orchestration frameworks
- Integrate static analyzers and RAG systems
- Perform performance profiling optimization and scalability analysis
- Support security assessments and Authority to Operate processes
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Automated testing | Confluence | Database Design | Database Storage | Git | Jira | LLM orchestration | Language Models | Large Language Models | Machine Learning | Performance Profiling | Python | Relational databases | Retrieval-Augmented Generation | Secure Enclaves | Security assessment | Static Analysis | Vector Databases
Education
Associate Degree | Bachelor of Science | Master of Science | PhD
Roles
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