Artificial Intelligence (AI) Engineer (SWE-2)
Job Description
Leidos offers an onsite AI Engineer role in Linthicum Heights, MD with a competitive salary range of USD 87,100 to 157,450 per year. This position supports the AI and Emerging Technologies mission, collaborating with stakeholders to capture requirements, aid planning, and develop AI/ML tooling including fine-tuning LLMs for vulnerability identification and mitigation. The role emphasizes practical impact, secure tooling, and opportunities for technical upskilling within a mission-driven environment.
Responsibilities
- Design, develop, and maintain LLM orchestration frameworks that coordinate static analyzers, retrieval-augmented generation pipelines, and automated testing sequences.
- Build and optimize data preprocessing pipelines to ingest, clean, transform, and vectorize product documentation, source code, and test results for LLM consumption.
- Design and implement database solutions to support RAG architectures, artifact storage, audit trails, and metadata management.
- Architect and deploy networked AI tools within secure enclaves; conduct performance profiling, optimization, and scalability analysis of mission systems.
- Support security assessments and authority to operate processes.
Requirements
- Proficiency in Python
- Proficiency in LLM integration
- Proficiency in data engineering
- Experience with static analyzers
- Experience with a RAG framework
- Experience with relational databases
- Experience with vector databases
- Familiarization with Agile
- Familiarization with Git
- Familiarization with Jira
- Familiarization with Confluence
- Active TS/SCI with Polygraph clearance
Technologies
- Python
- LLM integration
- Data engineering
- Static analyzers
- RAG framework
- Relational databases
- Vector databases
- Git
- Jira
- Confluence
- Rust
- Claude Code
- Codex
- CI/CD
Benefits
- Paid Time Off
- 11 paid Holidays
- 401K with a 6% company match and immediate vesting
- Flexible Schedules
- Discounted Stock Purchase Plans
- Technical Upskilling
- Education and Training Support
- Parental Paid Leave
- Health and Wellness programs
- Income Protection
- Paid Leave
- Retirement
Desirable Skills
- Familiarization with Rust, Claude Code, Codex, and CI/CD