Software engineer at Uncountable focusing on Generative AI deployment in software. Building AI - powered search tools and developing LLM stack for scientific research.
About the role
- Intern assisting in modernization initiatives for agentic AI workflows and data platforms. Supporting the development and maintenance of data pipelines and prototyping AI use cases.
Responsibilities
- Support delivery of small, well-scoped modernization initiatives involving agentic AI workflows and a modern data platform
- Build and maintain simple data pipelines (ingest, transform, validate) using SQL and Python
- Assist with prototyping agentic AI use cases (task automation, knowledge retrieval, workflow orchestration) with a focus on safe, testable implementations
- Create reusable components (notebooks/scripts) following team standards for naming, structure, and configuration
- Implement basic evaluation and testing: unit tests (where applicable), data validation checks, and repeatable run instructions
- Practice solid dev hygiene: Git, clear pull requests, requesting code reviews, and issue tracking updates
- Produce clear documentation for everything delivered (“what it does,” “how to run it,” “how to troubleshoot it,” known limitations)
- Monitor/report on job runs or prototype performance using simple dashboards/logs, flag failures fast with actionable detail
- Collaborate asynchronously: daily written updates, ask clarifying questions early, propose next steps when blocked
- Follow security/compliance expectations (handle data appropriately, don’t embed secrets, use approved tools/environments)
- Take ownership of a defined backlog and deliver incremental results weekly with demos/walkthroughs
Requirements
- Undergraduate student (graduation: Summer 2026)
- GPA: 3.6+
- Skills/experience with:
- Python
- SQL
- General coding
- C/C++ or C# (helpful)
- Microsoft Excel and Microsoft Word
- Data research
- A basic understanding of LLMs and modern agentic AI principles
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