Generative AI Engineer

Position Summary:
The Generative AI Research Engineer is a key individual contributor responsible for assisting with the development and maintenance of Generative AI software systems and/or engineering tools to support Vanderbilt University. The position is housed in the Institute for Software Integrated Systems and will work across the university in close collaboration with the Amplify Generative AI Development Team and Vanderbilt Information Technology (VUIT).

This position assists with engineering and/or software design implementation analysis maintenance creation / delivery of training materials and experimentation as directed by the group leader. Reporting directly to the Senior Advisor to the Chancellor on Generative AI the Generative AI Engineer regularly collaborates with a team including but not limited to other engineers faculty students Research Scientists System Architects and university staff to accomplish projectspecific goals.

About the Work Unit:
The Institute for Software Integrated Systems conducts basic and applied research in the area of systems and information science and engineering. Applications of its technology span a wide range of softwareintensive systems from small embedded devices through realtime distributed systems to globally deployed complex systems. Software is increasingly essential to the functions of these systems and it is also the primary means of adapting them to their environments and users. Our research interests lie in the theoretical foundations modeling design engineering and educational aspects of these systems.

Key Functions and Expected Performance:
Assist with prompt engineering disciplinespecific engineering problems.
Creation maintenance and evolution of Generative AI software and tooling to support the university
Collaborate with Vanderbilt University Information Technology (VUIT) to ensure adherence to standards compliance and security measures in a dynamic and collaborative work environment.
Actively read experiment and learn cutting edge Generative AI technologies to stay at the forefront of the field.
Assist with creation of training materials delivery of training support of instructional staff and other duties
Participate in managing software infrastructure students organization coordination with other departments and groups
Assist in authoring papers technical documentation training materials and other written materials
Assist in the production of educational and promotional materials regarding research and education related to Generative AI
Assist with cloud development deployment and integration of developed AI applications.
Assist with the development and maintenance of disciplinespecific software systems and/or engineering tools to support project and research goals.
Perform engineering and/or software design implementation analysis maintenance or experimentation as directed by Principal Investigator and lead Engineers.
Prepare technical documentation for work products of project.
Maintain familiarity with and expertise in emerging Generative AI technologies and techniques related to project and research goals.
Communicate regularly effectively and professionally with Senior Advisor to the Chancellor and other members of the team.
Adhere to existing technical standards and recommend or develop new standards as applicable.
Provide data to assist in evaluation of Generative AI impact direction and progress providing input on solutions as necessary.
Deliver technical progress reports/presentations in written and/or oral form.
Share knowledge product and processes with the team and wider Vanderbilt community.
Perform other duties as assigned.

Supervisory Relationships:
This position does not have supervisory responsibility this position reports administratively and functionally to the Principal Investigator.

Education and Certifications:
A Bachelors degree in computer science or a related field is necessary.
A Masters or Ph.D. is preferred.

Experience and Skills:
The following skills are necessary:
A minimum of 3 years of experience is necessary.
Ability to develop software faster and at a higher level of quality with Generative AI than other engineers not using Generative AI is necessary.
Ability to pick up and be immediately productive in code bases written in nearly any language using Generative AI as an assistant is necessary.
Experience with prompt engineering large language models prompt patterns ChatGPT and ChatGPT Code Interpreter is expected.
Experience with software engineering with large language models is expected.
Ability to design implement test document and maintain software is necessary.
Practical knowledge of software development tools programming languages (e.g. Python JavaScript TypeScript) lambda functions cloud computing AWS databases and web technologies as needed by project is necessary.
Experience with stateoftheart software development environments (e.g. IntelliJ) tools (e.g. git) and collaborative environments (e.g. GitHub) is necessary.

General Characteristics of a Successful Vanderbilt University Staff Member:
ACCOUNTABILITY: Owns decisions outcomes work products etc. that are within the scope of ones role.
Works through Issues Recognizes that the work is about successful outcomes if things arent going well outcomes suffer; is willing to have crucial conversations if things arent going well; doesnt just complain to management does everything possible to remedy the situation directly first
Reliable Does what they say they will do when they say they will do it; shows up for work when expected; doesnt push the burden of work volume or deadlines to others
Integrity Holds oneself accountable; takes responsibility for failures as well as successes recognizes that trust is required to hold a team together
Acceptance of Feedback Takes constructive criticism with grace and makes improvements without taking it personally or holding grudges; when wrong owns it freely admits mistakes