Mid‑Level AI Engineer (Python)
Tasks
- Architect deploy networked AI tools in secure enclaves
- Build Retrieval Augmented Generation systems
- Capture AI requirements
- Clean transform vectorize documents and code
- Design database solutions for RAG
- Design develop maintain LLM orchestration frameworks
- Develop automated testing pipelines
- Implement artifact storage and audit trails
- Integrate static analyzers
- Profile optimize and analyze scalability
- Support Authority to Operate activities
- Support security assessments
- Vectorize test artifacts for LLM use
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Automated testing | Confluence | Data Transformation | Database Design | Git | Jira | LLM orchestration | Language Models | Large Language Models | Machine Learning | Optimization | Performance Profiling | Python | RAG | Relational databases | Retrieval-Augmented Generation | Scalability analysis | Static Analysis | Vector Databases | Vectorization
Education
Associate Degree | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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