KEY RESPONSIBILITIES:

LLM & Generative AI Application Development:
Assist in designing and implementing web and API-based applications that incorporate generative AI capabilities, leveraging frameworks like LangChain to streamline development.
Software Integration & Deployment:
Collaborate with cross-functional teams to integrate AI-powered features into existing platforms and tools. Contribute to the deployment of these applications in production environments, ensuring performance and scalability.
Data Handling & Preprocessing:
Support data-related tasks—such as ingestion, cleaning, and organization—to ensure that LLM-powered applications have the right data at the right time.
Prototype & Experimentation:
Participate in rapid prototyping of new generative AI features, running experiments and analyzing performance metrics to guide iterative improvements.
Collaboration & Communication:
Work alongside IT, Product, and Data Analytics teams to gather requirements, troubleshoot issues, and effectively communicate technical solutions to both technical and non-technical stakeholders.

SPECIFICATIONS:

Open to Undergraduate and Graduate students preferred:
Majors in Computer Science / Engineering or related fields.
Programming Fundamentals:
Proficiency in Python (or similar) and experience with frameworks like LangChain, TensorFlow, or PyTorch.
Application & API Development:
Familiarity with RESTful APIs, microservices architecture, and deployment tools. Experience with frontend frameworks (React, Vue) is a plus.
Cloud & DevOps Exposure:
Basic understanding of cloud platforms (Azure, AWS, or GCP), containerization (Docker), and CI/CD pipelines.
Data Proficiency:
Working knowledge of SQL or other data query languages. Experience with data wrangling and version control (Git) is helpful.
Generative AI Interest:
Demonstrated curiosity about or experience with LLMs, prompt engineering, or other generative AI techniques. Experience with LangChain is a strong plus.
Detail-Oriented:
Exhibits precision when developing and testing AI-driven applications.
Team-Focused & Collaborative:
Enjoys working in a cross-functional environment and learning from senior engineers.
Adaptable & Innovative:
Embraces new challenges in a fast-evolving AI landscape, proposing creative solutions and improvements.
Positive Attitude & Enthusiasm:
Approaches tasks with energy, resilience, and a desire to learn.
Strong Interest in Real Estate & Alternative Investments (Preferred):
Not required, but helpful for understanding the business context of AI solutions at Rialto.

While performing the duties of this job, the Associate is occasionally required to stand; walk; sit; use hands to finger, handle, or feel objects, tools or controls; reach with hands and arms; climb stairs; balance; stoop. The Associate must occasionally lift and/or move up to 25 pounds. Evening or weekend work may be necessary to meet deadlines.

This description outlines the basic tasks and requirements for the position noted. It is not a comprehensive listing of all job duties.

Rialto Capital is committed to the principles of Equal Employment Opportunity. Our policy is to provide equal employment opportunity to all applicants and Associates without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity or expression, national origin, age (40+), disability, veteran status, genetic information (including family medical history), or any other legally protected status.

Our company uses E-Verify to confirm the employment eligibility of all newly hired employees.

To learn more about E-Verify, including your rights and responsibilities please visit:e-verify.gov.

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