Software Engineering Intern
Protagonist
Washington, DCFresher2h agovia LinkedIn
This job at a glance
- Who can apply
- New grads and up to 1 year
- Must know
- ETLPythonTypeScriptReactDjangoREST APIs
- Work
- On-site in Washington · internship
- Pay
- Not stated by the employer.
- Skill demand
- Python79%TypeScript48%React30%ETL6%of 33 similar entry-level jobs posted in the US this week
- Listed
- Oct 27, 2026 · still open
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About the Role
Protagonist is seeking a Software Engineering Intern to join our collaborative engineering team. This role offers a hands-on opportunity to contribute directly to the development of our Narrative Analytics® platform. You will write real code for a real product, working across backend development, user-facing applications, data pipelines, and AI-powered features. You'll collaborate with experienced engineers, data scientists, and analysts, gaining exposure to modern development tools and technologies.
Key Responsibilities
- Build API endpoints in Python (Django REST Framework) and the React/TypeScript components that use them.
- Write steps in our data pipelines (Metaflow) to pull in documents, enrich them with LLMs, and index them in OpenSearch.
- Assist in building and evaluating LLM features, including prompt templates, structured outputs, and scorecards.
- Gain experience with AWS services such as S3, Bedrock, and EKS.
- Write tests, upgrade dependencies, fix issues, and help track down production bugs.
- Collaborate with data scientists and analysts to understand platform usage and engineering contributions to analytical workflows.
Requirements & Tech Stack
- Currently pursuing a degree in Computer Science or Computer Engineering.
- Authorized to work in the U.S. and meet applicable U.S. Government contract eligibility requirements.
- Available to work a minimum of 20 hours/week.
- Must be able to work in-office in Washington D.C. 1-2 days per week.
- Comfortable in Python.
- Experience using Git.
- Some exposure to web development (any framework), SQL, or JavaScript.
- Curiosity in NLP, machine learning, or large language models.
Ideal Candidate
- Experience with a class project or side project in Django, React, or TypeScript.
- Experience with Pandas or other data work in Python.
- Experience calling an LLM API and building something with it.
- Experience using AI coding tools and the ability to evaluate their output.
- Experience with Docker or any cloud provider.