Related skills
python rag llmπ Description
- Design, develop, and maintain LLM orchestration for analyzers, RAG, and tests.
- Build data pipelines to ingest, clean, transform, and vectorize docs, code, and results.
- Design and implement databases to support RAG, artifacts, audits, and metadata.
- Collaborate with systems engineers to deploy AI tools in secure enclaves.
- Support security assessments and ATO processes.
π― Requirements
- Bachelor's degree + 8+ years relevant experience or equivalent.
- Proficiency in Python, LLM integration, and data engineering.
- Experience with static analyzers, RAG framework, and relational and vector databases.
- Familiar with Agile, Git, Jira, and Confluence.
- Familiarization with Rust, Claude Code, Codex, and CI/CD.
π Benefits
- Referral bonus up to $10,000.
- Benefits overview on ARSIEM careers site.
- Growth opportunities in AI/ET missions.
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