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