AI Engineer (LLM Applications) (SAB-2611-06)

Design, prototype, and integrate AI features into an existing government reporting and publishing system. The work applies existing large language models (LLMs) to real workflows. You will build agent-based solutions, coordinated AI agents and prompts that automate manual tasks and speed up report writing. What you will do: - Lead the design and development of multi-agent AI workflows from concept to deployment, including prototypes, production code, and upkeep - Integrate existing foundation models through APIs and orchestration frameworks, picking the right model and approach for each task - Design, test, and refine prompts and agent instructions, and break complex workflows into steps an agent pipeline can run - Build testing and evaluation for AI outputs so results are accurate and consistent before they reach users - Explain AI approaches and trade-offs to technical and non-technical stakeholders Required qualifications: - Active TS/SCI clearance with polygraph completed within the last 7 years (U.S. citizenship required). - Bachelor's degree plus 8 years of software engineering experience. Without a degree, 12 years. A master's degree counts for 2 years. - Strong Python, writing production-quality, maintainable code - Hands-on experience building applications on existing LLMs through commercial or self-hosted model APIs - Multi-agent or multi-step AI workflows: prompt chaining, tool use, and agent orchestration (for example LangChain, LlamaIndex, or custom frameworks) - Prompt engineering and evaluating LLM outputs - Integrating AI into existing software through RESTful APIs and microservices - Amazon Web Services (AWS) Preferred qualifications: - Retrieval-augmented generation (RAG) pipelines and vector databases - LLM observability and evaluation tools - Exploratory data analysis on structured and unstructured data - MLOps or LLMOps practices - Government reporting and dissemination policies Location: On-site at a contractor facility in Annapolis Junction, MD, with up to 3 days a week of telework as tasking allows. Schedule: Full-time, W-2 Sabre Engineering employee. 40 hours a week, normal day shift. Salary range: $139,000 to $174,000 per year, based on experience and qualifications. Benefits: - Medical plans, with Sabre paying 75% of premiums for you and your dependents - Dental and vision coverage, with Sabre paying 100% of premiums for you and your eligible dependents - Sabre contributes up to 10% of your salary to your 401(k) through profit sharing, fully vested from day one - 6 weeks of paid time off per year, including 10 holidays - Company-paid long-term disability; voluntary short-term disability and life insurance - Up to $5,000 a year for job-related training, plus $500 a year for technical books and subscriptions - Employee referral bonus of up to $5,000 How to apply: Email your resume to jobs@sabre-eng.com with "SAB-2611-06 AI Engineer (LLM Applications)" in the subject line. Word format is preferred. This position supports a U.S. government contract. Hiring is contingent on approval by our prime contractor and the government customer. Sabre Engineering is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.