Senior AI Developer

Virginia Commonwealth University • Richmond, VA

1d • Remote

About The Position

Join a forward-thinking university team shaping the future
of research with cutting-edge AI. As a Senior AI Developer, you’ll design and
deploy secure, custom solutions powered by Large Language Models and RAG
pipelines—helping researchers work smarter, faster, and more efficiently. From
building high-performance vector databases to advancing ethical, institutionally
grounded AI, your work will directly support innovation at scale. If you’re a
skilled Python developer with hands-on LLM experience and a passion for turning
complex technology into real-world impact, this is your opportunity to lead
meaningful change in a collaborative academic environment.

The Senior AI Developer will be a member of the Office of the Vice President for
Research & Innovation (OVPRI) IT team and is responsible for the design,
development, and maintenance of customized artificial intelligence solutions
that enhance the research mission of the University. The Developer will leverage
Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to create
secure tools that will accelerate and enhance the research administration
process. The incumbent must balance high-level machine learning engineering with
a deep commitment to digital ethics and institutional data sovereignty.

Requirements

• Demonstrated ability to work in and foster an environment of respect, professionalism and civility with a population of faculty, staff, and students from all backgrounds and experiences, or a commitment to do so as a staff member at VCU.
• Only applicants who do not require current or future sponsorship for employment will be considered
• Bachelor’s degree in computer science, Data Science, Information Technology, or a related field.
• Minimum of 2 years of experience in software development with at least 1 year of hands-on experience developing applications using LLM APIs (OpenAI, Anthropic, or open-source models); or an equivalent combination of education and professional experience.
• Advanced proficiency in Python, including experience with asynchronous programming and data manipulation libraries (Pandas, vLLM, LangChain, PyTorch).
• Demonstrated experience building with RAG (Retrieval-Augmented Generation) architectures and orchestration tools (like document chunking, embedding, and retrieval inferences)
• Experience with at least one Vector Database (e.g. Chroma, Qdrant).
• Ability to translate complex technical AI concepts for non-technical stakeholders (Faculty, Staff, and Students).
• Ability to work in a diverse environment.
• Ability to manage tasks on multiple concurrent projects.

Nice To Haves

• Subspeciality or Degree in a field related to Artificial Intelligence.
• Previous experience working within a Higher Education environment.
• Experience utilizing an HPC cluster (slurm/ bash scripts and GPU usage)
• Knowledge of PEFT (Parameter-Efficient Fine-Tuning) methods, specifically LoRA (Low-Rank Adaptation)
• Basic ability to build rapid prototypes to demonstrate AI tools to users.
• Demonstrated knowledge of data security and accessibility standards.

Responsibilities

• Custom LLM Implementation: Design and maintain LLM models that allows the research community to access models via a secure, authenticated internal interface.
• RAG Pipeline Construction: Build and optimize Retrieval-Augmented Generation (RAG) pipelines that allow AI agents to "read" university-specific research administration and regulatory affairs data (grant proposals, contracts, agreements, protocols, etc) without leaking that data into public training sets.
• Vector Database Management: Manage and scale vector databases to ensure high-speed semantic search across research administration and regulatory affairs documents.
• Document LLM and RAG processes and configurations
• Document APIs to allow applications to utilize AI technologies developed
• Provide recommendations on appropriate training documents for models and fine-time parameters.
• Provide detailed training documentation to users as needed.
• Research new AI technologies and provide recommendations on implementation.
• Test new AI methodologies and usages and provide recommendations for integration with existing systems.

Benefits

• All full-time university staff are eligible for VCU’s robust benefits package that includes comprehensive health benefits, paid annual and holiday leave, generous tuition benefits, retirement planning and savings options, tax-deferred annuity and cash match programs, employee discounts, well-being resources, abundant opportunities for career development and advancement, and more.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1-10 employees