Agenic AI Engineer Intern
About The Position
The Agentic AI Engineer Intern will support the design, development, and evaluation of goal driven AI agents that automate multi step workflows across XiFin’s healthcare revenue cycle operations. Unlike traditional machine learning roles focused primarily on prediction, this internship centers on building AI systems that can plan, reason, take actions, use tools, and drive measurable business outcomes through autonomous task execution. In this role, the intern will gain hands on experience with large language model (LLM) orchestration, workflow automation, agent frameworks, and evaluation methodologies. Projects may include designing decision making agents, integrating LLMs with APIs and internal tools, building reusable agent workflows, and contributing to enterprise grade AI guardrails that ensure safety, reliability, and compliance. This internship is ideal for a curious and innovative problem solver who is excited about next generation AI systems and eager to contribute to real enterprise use cases in a fast evolving technical environment.
Requirements
- Currently pursing a degree in Computer Science, AI Data Science, Engineering, or related field
- Strong Python skills
- Understanding of machine learning and basic NLP concepts
- Familiarity with APIs and software engineering fundamentals
Nice To Haves
- Experience with LLM frameworks (LangChain, Llamalndex, or similar) preferred
- Exposure to prompt engineering or retrieval-augmented generation (RAG) preferred
- Knowledge of AWS or Azure cloud platforms preferred
Responsibilities
- Assist in designing multi‑agent workflows for real‑world healthcare revenue cycle use cases (e.g., prior authorization, appeals automation, policy validation).
- Support prompt engineering, evaluation dataset creation, and output quality validation.
- Help build and integrate tools such as APIs, databases, search components, and structured retrieval systems.
- Contribute to memory modules or knowledge‑graph components for agent state tracking.
- Develop evaluation metrics to measure accuracy, reliability, and hallucination risk.
- Test and analyze agent behavior across edge cases, workflow branches, and failure scenarios.
- Assist with containerization and cloud deployment workflows in AWS or Azure.
- Document system architecture, agent behavior findings, and improvement recommendations for engineering and business stakeholders.
Benefits
- Comprehensive health benefits including medical, dental, vision, and telehealth
- 401(k) with company match and personalized financial coaching to support your financial future
- Health Savings Account (HSA) with company contributions
- Wellness incentives that reward your preventative healthcare activities
- Tuition assistance to support your education and growth
- Flexible time off and company-paid holidays
- Social and fun events to build community at our locations!
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What This Job Offers
Job Type
Part-time
Career Level
Intern
Education Level
No Education Listed
