Description

Do you crave a career that truly makes an impact in people's lives? Do you thrive on problem-solving and finding solutions? Join a dedicated, tight-knit team that creates an immediate and meaningful impact every day

Leidos QTC Health Services is seeking a mid‑to‑senior‑level AI Engineer who loves wrestling with large language models (LLMs) and building useful products. You will design and ship AI‑powered applications that leverage the latest LLMs while meeting the strict privacy and security requirements of the healthcare industry. If you enjoy turning cutting‑edge research into reliable software and you have no problem telling an LLM when it's wrong, we want to hear from you.

This role is fully remote

Primary Responsibilities:   

• Develop AI‑powered applications using state‑of‑the‑art LLMs. You will build and deploy applications for our internal customers, selecting the right models (e.g., GPT‑4o, Claude Sonnet 4, Gemini 2.5 or open‑source alternatives).
• Implement retrieval‑augmented generation (RAG) pipelines and agents using LangChain, LangGraph, LlamaIndex, and other emerging frameworks.
• Integrate ML models with front-end apps, REST APIs, and backend systems.
• Design and build end-to-end AI systems—ranging from chatbots and recommendation engines to vision-based pipelines.
• Build robust logic around ML models to address edge cases, failovers, and complex business rules.
• Leverage prebuilt models or services (e.g., OpenAI API, Azure Cognitive Services, HuggingFace) to accelerate development cycles.
• Fine‑tune and customize models using LoRA, prompt tuning, or RLHF techniques.
• Occasionally perform custom model training—but more often fine-tune or adapt existing models to meet business needs.
• Work with vector databases (e.g., Pinecone, Weaviate) and explore graph-based approaches (e.g., GraphRAG, Knowledge Graphs).
• Ensure privacy and compliance with HIPAA, including encryption, PHI protection, and vendor due diligence.
• Prototype multi‑agent systems using frameworks like CrewAI or Stands SDK and evaluate emerging agent orchestration solutions.
• Collaborate cross-functionally with product managers, data scientists, and compliance teams.
• Mentor junior engineers, lead innovation discussions, and continuously evaluate emerging LLM architectures.

Required Qualifications/Competencies:

• Bachelor's degree from an accredited college in Computer Science, Computer Engineering, Statistics, Data Science or another similar quantitative field. Additional experience in lieu of a degree may be considered.

• 9+ years in software engineering or machine learning, with 2+ years building production AI/ML systems.
• Strong programming skills in Python and Typescript.
• Experience with REST APIs and frameworks like Flask or FastAPI.
• Familiarity with LangChain, LlamaIndex, HuggingFace Transformers, SGLang, and OpenAI API.
• Experience with RAG architectures, including vector databases and GraphRAG approaches.
• Experience deploying AI solutions using cloud platforms (AWS, Azure, or GCP).
• Understanding of HIPAA compliance: handling PHI, encryption protocols, and vendor BAAs.
• Experience in prompt engineering, prompt security, and evaluation strategies.
• Familiarity with containerization, CI/CD, and MLOps pipelines

Preferred Qualifications:

• Experience in healthcare, life sciences, or other regulated industries.
• Background in autonomous agents and orchestration frameworks (e.g., CrewAI, Strands, OpenAI Agents SDK).
• Exposure to multi-modal models (e.g., GPT‑4o, Pixtral Large).
• Knowledge of chain-of-thought reasoning and RLHF workflows.
• Additional languages like Rust or Go; experience with microservices or event-driven architecture.

About Leidos QTC Health Services

Leidos QTC Health Services collaborates closely with government and non-government customers to address current and future program needs within the health services domain. We specialize in disability-focused medical examinations, independent medical exams and review services, occupational health services, diagnostic testing, and case management solutions. As innovators, we focus on advancing technologies that improve service delivery, with a particular emphasis on enhancing accessibility for examinees in rural communities. With a proven track record of continuous improvement and steady growth, we now handle over 2 million appointments annually. Visit www.qtcm.com for more information.

Compensation and Benefits

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. As a result, we offer meaningful and engaging careers to support you and your career goals, all while nurturing a healthy work-life balance. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available here.

This role may fall under the Service Contract Act (SCA), a federal law which provides for a U.S. Department of Labor-prescribed minimum prevailing rate of pay and certain benefit levels. Where appropriate, Company-provided benefit plans such as comprehensive leave, holiday, medical, dental, life, accident, disability coverages, retirement plan contributions, and other health and welfare benefits and payments are utilized to meet these obligations. 

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos QTC Health Services will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor. Engineering