Artificial Intelligence/Machine Learning (AI/ML) Engineer

Job Description

AI/ML Engineer-ICL-Open Rank (Entry-Junior Level) | Georgia Tech Research Institute

The Tone:
This is a full-time, early career role at Georgia Tech Research Institute, located in Atlanta, GA. GTRI is the nonprofit, applied research division of the Georgia Institute of Technology, a substantial organization with over 2,900 employees performing significant problem-solving research annually for government and industry. This position is vital for advancing individual and population health by developing and deploying AI/ML solutions that enhance health data exchange, integration, and standardization across disparate health systems. The role contributes to a mission focused on foundational health data analytics, interoperability, and secure health research.

The TL;DR
• Role: Early Career
• Type: Full-time
• Location: In-person, Atlanta, GA

• Team: Health Interoperability and Security Branch (HISB) within the Health Emerging & Advanced Technologies (HEAT) Division
• Mission: Develop and deploy AI/ML solutions that enhance health data exchange, integration, and standardization across disparate health systems to improve health outcomes.
• Tech Stack: R, Python, C++, C, Julia, LangChain, LlamaIndex, Apache Airflow, AWS, Azure, GCP, Docker, Kubernetes, FHIR, HL7, DICOM, LOINC, SNOMED CT, ICD, RxNorm, Git, RESTful APIs, microservices architecture

What You’ll Actually Do
• Develop software products using various tools such as R, Python, C++, C, and/or Julia.
• Deploy machine learning models by utilizing existing tooling and infrastructure.
• Conduct research within a multi-disciplined team environment, exploring advanced AI/ML techniques.
• Design and implement agentic AI systems that coordinate complex health data workflows across multiple systems and stakeholders.
• Develop and apply novel solutions to address research challenges, including the use of machine learning models, large language models, and agentic AI systems for health interoperability.

The Must-Haves
• Background: Bachelor’s degree in Computer Science, Biomedical Engineering, or a related field; candidates currently enrolled in a relevant degree program with a graduation date no later than August 2026 will be considered.
• Experience: 0 years of related experience with a Bachelor’s degree; experience developing, deploying, or working with APIs and data exchange systems.
• Skills: Strong proficiency in Python; strong machine learning, artificial intelligence, computer science, or software engineering background; experience communicating and presenting technical findings, both written and verbal; ability to work collaboratively in a multidisciplinary team environment.
• Bonus: Experience with AI workflow orchestration tools and frameworks (e.g., LangChain, LlamaIndex, Apache Airflow); experience building agentic AI systems, autonomous workflows, or multi-agent architectures; experience implementing AI observability, monitoring, and evaluation frameworks for ML systems; experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes); experience with health interoperability standards and frameworks such as FHIR, HL7, DICOM, and healthcare terminologies (LOINC, SNOMED CT, ICD, RxNorm); experience with version control systems (Git) and CI/CD practices for ML deployment; knowledge of data security, encryption, federated learning, differential privacy, or other privacy-enhancing technologies; experience with RESTful APIs, microservices architecture, and distributed systems.