Artificial Intelligence (AI) Engineer (SWE-2)
Tasks
- Architect deploy networked AI tools in secure enclaves
- Conduct performance profiling optimization scalability analysis
- Coordinate static analyzers retrieval augmented generation systems automated testing pipelines
- Design develop maintain LLM orchestration frameworks
- Design implement database solutions for RAG artifact storage audit trails metadata management
- Develop optimize data preprocessing pipelines
- Develop tools and techniques for fine tuning large language models
- Improve certification process using AI ML tooling
- Ingest clean transform vectorize documentation source code test results
- Support security assessments authority to operate ATO
- Use AI ML to enhance vulnerability identification and mitigation
Perks/Benefits
- 401k match
- Education and training support
- Flexible schedules
- Paid Holidays
- Paid time off
- Parental paid leave
- Technical upskilling
Skills/Tech-stack
Agile | CI/CD | Confluence | Data Engineering | Data Preprocessing | Data vectorization | Database Design | Git | Jira | LLM orchestration | Language Models | Large Language Models | Machine Learning | Python | RAG Framework | Relational databases | Retrieval-Augmented Generation | Rust | Static Analysis | Vector Databases
Education
Roles
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