Agentic AI Engineer Intern

Are you interested in harnessing technology and AI to transform healthcare?

At XiFin, we believe a healthier, more efficient healthcare system starts with strong financial and operational foundations. Our innovative technologies help diagnostic providers, laboratories, and healthcare systems manage complexity, drive better outcomes, and stay focused on what matters most: patient care.

We're on a mission to simplify the business side of healthcare-and we know that mission takes people from all backgrounds and experiences. Whether you're early in your career or bringing years of expertise, we welcome your perspective, your curiosity, and your passion. We value individuals who ask questions, challenge the status quo, and want to grow while making a real difference.

One of the ways we are achieving this is through our XiFin Internship Program. The Internship Program is designed to empower, educate, and inspire the next generation of talent by providing meaningful hands‑on experience, professional development, and direct exposure to the real impact of our work. Our mission is to create an environment where interns build the skills, confidence, and connections needed to excel in their careers-while contributing to projects that support XiFin's mission of improving healthcare financial performance.

This is a 10-week structured program beginning on June 15, 2026, and ending August 21, 2026. This will be part-time (up to 29 hours/week).

About the role:

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.

What does the position pay?

The hourly compensation for this role is $25.00 for graduate students.

How you will make an impact:

In this role, you'll:

* 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.

This is an onsite position at our office in San Diego, CA.

What you will bring to the team:

A combination of the following education and experience factors will be considered:

* 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

* Experience with LLM frameworks (Lang Chain, Llamalndex, or similar) preferred

* Exposure to prompt engineering or retrieval-augmented generation (RAG) preferred

* Knowledge of AWS or Azure cloud platforms preferred

What Interns can Expect:

The XiFin…