Research Software and AI Engineer
Company: UNC-Chapel Hill
Location: Chapel Hill
Posted on: April 2, 2026
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Job Description:
Position Summary This position is part of the Data Science and
AI Research Service team which reports to the Director of
Cross-Sector Partnerships. The Data Science and AI Research Service
is a team within the School of Data Science and Society that
supports data-intensive research across a broad range of data
science and AI domains. The service works to enable best practices
in data management, analysis, software development, and technology
adoption to advance data science research and research translation.
The Research Software and AI Engineer is a team member within the
Data Science and AI Research Service that supports researchers in
developing and deploying AI and data science applications. The role
works closely with faculty, research staff, and graduate students
to enable cutting-edge data science research. The role designs,
builds, and hardens software tools. The role collaborates with
multi-disciplinary teams and external partners to deliver
production-quality code, taking prototypes to scalable,
maintainable tools. Where appropriate, the Research Software and AI
Engineer incorporates state-of-the art technologies and modern
development practices to maximize efficiency and usability for end
users. Required Qualifications, Competencies, And Experience
Bachelor’s degree in Computer Science, Software Engineering, or a
relatied field; or an equivalent combination of education and/or
experience. Preferred Qualifications, Competencies, And Experience
- Demonstrated professional experience in software engineering and
web development, including Python, SQL , modern development
frameworks, Git workflows, automated testing, CI/CD pipelines, and
containerization. - Experience delivering production services from
prototypes in iterative sprints. - Experience with modern
frameworks such as React, Django, FastAPI is a plus. - Experience
with front-end development is a plus. - Familiarity with
accelerators, software templates, and reference architectures. -
Experience with AI and Machine Learning Frameworks, including
Generative AI - Exposure to Azure ecosystems (e.g., Microsoft
Fabric, Azure MI, Databricks) and collaboration with data/ML and
cloud teams. - Familiarity with reasearch data contexts (e.g.,
working with curated datasets, data catalogs, access controls) and
secure, HIPAA protected environments. - Familiarity with HPC
cluster workflows, including SLURM job scheduling, resource
allocation, and parallel computing.
Keywords: UNC-Chapel Hill, Wilson , Research Software and AI Engineer, IT / Software / Systems , Chapel Hill, North Carolina
