Senior AI Engineer (SWE-3)
AI summary of the role
Senior AI Engineer role within Leidos' Intel Sector, supporting an AI and Emerging Technologies mission.
What you’ll do
- Design, develop, and maintain LLM orchestration frameworks coordinating static analyzers, RAG systems, and automated testing pipelines.
- Develop and optimize data preprocessing pipelines for ingesting, cleaning, transforming, and vectorizing product documentation, source code, and test results.
- Design and implement database solutions for RAG architectures, artifact storage, audit trails, and metadata management.
- Architect and deploy networked AI tools within secure enclaves and conduct performance profiling and scalability analysis.
What you’ll bring
- Bachelor's degree plus eight (8) years of relevant experience or equivalent.
- Proficiency in Python, LLM integration, and data engineering.
- Experience with static analyzers, RAG framework, and relational and vector databases.
- Familiarization with Agile, Git, Jira, and Confluence.
Technologies
Python · LLM · RAG · static analyzers · vector databases · Agile · Git · Jira · Confluence · CI/CD
About Leidos
Builds mission-critical technology, engineering, cyber, defense, health, and infrastructure systems for U.S. government, allied, and commercial customers.
Public · 5000+ people
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