What are the responsibilities and job description for the Agentic AI Engineer – Healthcare Claims | In-Person Interview position at KMM Technologies, Inc.?
Position Details:
- Role: Agentic AI Engineer / AI Developer – AI & Business Intelligence
- Location: Reston, VA (Hybrid – must be local to the Maryland, Washington, DC, and Virginia area and available to work from the office every Wednesday)
- Interview Process: Two rounds – one virtual interview and one in-person interview
Key Responsibilities:
- Build, develop, and deploy AI agents using LLMs, NLP, LangChain, LangGraph, and other AI/ML frameworks.
- Develop AI solutions and data pipelines using Python, Pandas, and NumPy.
- Build and deploy AI/ML pipelines on AWS SageMaker and integrate with Aurora PostgreSQL.
- Develop interactive dashboards, executive reports, and KPI visualizations using Power BI or Tableau.
- Integrate data from multiple sources using APIs, SQL, and enterprise applications.
- Measure AI solution performance, operational efficiency, adoption, and business impact.
- Support CI/CD pipelines, containerized deployments, automated testing, and DevSecOps practices.
- Collaborate with technical teams, product managers, and business stakeholders to deliver scalable AI and analytics solutions.
Required Skills:
- Strong hands-on experience building and deploying production-level AI/ML systems and AI agents.
- Expertise in Python, Pandas, NumPy, LLMs, ML/DL, and NLP.
- Experience with LangChain, LangGraph, TensorFlow, or PyTorch.
- Hands-on experience with AWS SageMaker and Aurora PostgreSQL.
- Strong Power BI or Tableau dashboard development and business intelligence reporting experience.
- Proficiency in SQL, APIs, data integration, and KPI development.
- Experience with Java, Spring Boot, AWS, Docker, Kubernetes, and CI/CD pipelines.
- Healthcare claims domain experience is highly desirable.
Important: We are specifically looking for a hybrid AI Engineer BI Developer, not a BI Developer with only basic AI exposure. Strong Python/AWS SageMaker AI engineering skills and Power BI/Tableau reporting expertise are essential.