Artificial Intelligence Intern (Virginia student and/or residents only)

Job Description:

AMA is seeking to hire an AI Intern at NASA Langley Research Center in Hampton, VA. This is a short term (10-week) on-site summer internship starting early June, and the position will support the Program Management Office for the Research, Science, and Engineering Services (RSES) contract. Under RSES, AMA performs work for NASA, supporting multiple directorates through capabilities in an array of disciplines. AMA maintains a strong effort on process improvement and workforce empowerment, and this internship position will focus on development of LLM based workforce assistance tools.

The selected candidate will collaborate closely with AMA’s Information Technology team to build out cloud solutions that integrate numerous business tools with LLM capabilities and automate interactions with the workforce.

This role is limited to Virginia residents or students currently enrolled in a Virginia based institution of higher learning.

Responsibilities:

• Assist in the design, development, and testing of AI chatbot solutions built on AWS Bedrock.

• Support integration tasks to connect the chatbot with internal documentation, databases, and user interfaces.

• Optimize chatbot prompts, response accuracy, and overall conversational user experience.

• Contribute to the creation of technical documentation and user guides.

• Participate in code reviews, team meetings, and knowledge-sharing sessions.

Minimum Qualifications:

• Currently pursuing a degree in Computer Science, Engineering, Data Science, or a related field.

• Coursework with focus on AI/ML algorithms.

• Strong proficiency in programming languages such as Python.

• Interest in Large Language Models (LLMs) and AI/ML solutions.

• Strong analytical and problem-solving skills, with an eagerness to learn and adapt to new technologies.

• Excellent written and verbal communication and collaboration skills.

• Ability to work both independently and collaboratively within a multidisciplinary environment.

Preferred Qualifications:

• Experience with cloud computing systems such as AWS (AWS Bedrock, EC2 instances, etc.).

• Knowledge of web-based interfaces (e.g., Streamlit, Gradio).

• Understanding of Retrieval Augmented Generation (RAG), Vector Embeddings, and Vector Databases

• Familiarity with Role Based Access Control (RBAC) and client credential management

• Understanding of ticketing tools, version control systems, and software development methodologies

• Proficiency with Linux operating systems

• Experience with SQL

Analytical Mechanics Associates (AMA) is proud of our customer relationships, our diverse and dynamic work environment, and our employees' career satisfaction. AMA is a small business with a wide reach; headquartered in Hampton, VA, AMA has operations in Greenbelt, MD; Huntsville, AL; Dallas and Houston, TX; Denver, CO; Mountain View, CA; and Edwards Air Force Base, CA. With over 60 years of experience, AMA specializes in aerospace engineering, science, analytics, information technology, and visualization solutions. AMA combines the best of engineering, science, and mathematics capabilities with the latest in information technologies, visualization, and multimedia to build creative solutions. We offer competitive salaries and a substantial benefits package, including but not limited to paid personal and federally recognized holiday leave, salary deferrals into a 401(k)-matching plan with immediate vesting, tuition reimbursement, short/long term disability plans, and a variety of medical, dental, and vision insurance options.

AMA is committed to the professional growth of every employee, understanding that the successes of our employees drive our success. We provide a work environment that is engaging, collaborative, and supportive. To learn more about our company, please visit our website at www.ama-inc.com/careers and follow us on Facebook and LinkedIn.

AMA is an Affirmative Action/Equal Opportunity Employer and does not discriminate against any applicant for employment or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic prohibited under federal, state, or local laws.