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About the Role

The USC Urology AI Center builds and deploys practical, reliable AI systems to support clinical operations and research within the Department of Urology. The Center focuses on applied AI engineering, including agentic, tool-using LLM workflows built on established technologies and integrated into real-world departmental processes. This role supports the design, development, testing, and deployment of agentic AI workflows within a healthcare environment, collaborating with a cross-disciplinary team to translate clinical and operational needs into practical, AI-driven solutions.

Responsibilities

Build AI workflows that execute multi-step tasks through APIs and internal databases.
Integrate and normalize multiple data modalities to support workflow execution.
Implement RAG and grounding controls to support traceability and reduce unsupported outputs.
Design, troubleshoot and refine Agentic AI workflows and AI Agents to augment current healthcare applications.
Collaborate with clinicians, researchers, and operational stakeholders to translate needs into safe, testable, and measurable deliverables.

Requirements

BS/MS in Computer Science, Engineering, or equivalent practical experience.
Strong Python, SQL programming skills, GitHub, and experience with ML frameworks (PyTorch, TensorFlow, etc).
Full stack software development, experience with JavaScript, Node.js, QT, or similar.
Demonstrated experience building and deploying LLM applications beyond prototypes, including tool/function calling, workflow orchestration, structured outputs, and validation.
Experience implementing grounding/retrieval and reliability evaluation (test cases, regression checks, monitoring) and familiarity with security and privacy best practices for sensitive data.
Experience using statistical computer languages (e.g., R, Python, SQL) to manipulate data and draw insights from large data sets.
Experience working with and creating data models and data architecture, and using data visualization tools (e.g., Tableau, ArcGIS, D3.js).
Knowledge of current data modeling tools and various machine-learning techniques and algorithms (e.g., clustering, decision-tree learning, artificial neural networks).
Experience scripting and programming in several languages with common data science toolkits.
Proficient use of query languages (e.g., SQL, MDX) and experience working with relational (e.g., MySQL, SQL Server, Oracle, Snowflake, Redshift) and non-relational (e.g., Mongo, NoSQL) databases.
Knowledge of applied, statistical concepts and techniques skills (e.g., distributions, statistical testing, regression).
Excellent written and oral communication skills.
Ability to provide both detailed information and summaries to management-level individuals and groups.
Experience developing customer relationships and delivering customer-focused service.
Proven problem-solving and decision-making skills, and the ability to uncover root cause and evaluate different solution options.
Demonstrated interest in data science and artificial intelligence, and experience in open domain (e.g. GitHub).
Familiarity with unit testing, source control and code review.

Skills

Python
SQL
GitHub
ML frameworks (PyTorch, TensorFlow, etc)
JavaScript
Node.js
QT
LLM applications
Tool/function calling
Workflow orchestration
Structured outputs
Validation
Grounding/retrieval
Reliability evaluation
Security and privacy best practices
Statistical computer languages
Data manipulation
Data insights
Data models
Data architecture
Data visualization tools
Machine-learning techniques and algorithms
Scripting
Programming
Query languages (SQL, MDX)
Relational databases
Non-relational databases
Applied statistical concepts
Statistical techniques
Written communication
Oral communication
Customer relationships
Customer-focused service
Problem-solving
Decision-making
Root cause analysis
Solution evaluation
Data science
Artificial intelligence
Unit testing
Source control
Code review

Location

USC Health Science Campus in Los Angeles, CA

Work Type

On-site
Full-time

Experience Level

2 years
4 years

Education Level

Bachelor's degree
MS degree

Salary/Compensations

$120,213.99 - $155,525.71

About the Company

USC Institute of Urology delivers comprehensive, multidisciplinary urologic care and advanced surgical services across a broad range of subspecialties.
The Institute advances innovation by integrating clinical expertise with research, education, and new technologies to improve patient outcomes and care delivery.
Through collaboration across USC and USC Health, the Institute supports translational work that brings novel approaches into practice.

Equal Opportunity

USC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristic protected by law or USC policy.
USC observes affirmative action obligations consistent with state and federal law.
USC will consider for employment all qualified applicants with criminal records in a manner consistent with applicable laws and regulations, including the Los Angeles County Fair Chance Ordinance for employers and the Fair Chance Initiative for Hiring Ordinance, and with due consideration for patient and student safety.
We provide reasonable accommodations to applicants and employees with disabilities.
Applicants with questions about access or requiring a reasonable accommodation for any part of the application or hiring process should contact USC Human Resources by phone at (213) 821-8100, or by email at uschr@usc.edu.
Inquiries will be treated as confidential to the extent permitted by law.
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