AI​/ML Engineer

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.

• 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 Lang Chain, Lang Graph, Llama Index, 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, Hugging Face) 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., Graph
  
  RAG, 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.

• 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 Lang Chain, Llama Index, Hugging Face Transformers, SGLang, and OpenAI API.
• Experience with RAG architectures, including vector databases and Graph
  
  RAG 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

• 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.

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  for more information.