Software Engineering Intern

Appian•McLean, VA

6d•Onsite

About The Position

As an intern, you will contribute to real engineering work that helps shape how Appian delivers its AI-powered Process Automation platform to enterprises around the world. As a Software Engineering Intern, you will build on your academic foundation and gain hands-on experience contributing to production-adjacent engineering work. You will be embedded within a small, high-performing team where you’ll learn how modern enterprise software is designed, built, tested, and shipped at scale. You will also work alongside engineers who leverage cutting-edge AI tooling to accelerate development while maintaining strong standards for quality and correctness. This internship is based at our headquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Interns in this program are expected to be in the office 5 days a week to fully experience our culture, learn directly from peers and mentors, and contribute to projects in a collaborative environment. Being in the office provides more opportunities to connect, learn, and celebrate with the exceptional people across Appian.

Requirements

Currently pursuing a Bachelor’s or Master’s degree in Computer Science or Computer Engineering with a strong academic record.
Must be returning to school following the completion of the Summer 2027 internship to continue degree requirements.
Ability to commit to a full-time (40 hours/week) schedule for the duration of the 10-week summer program.
Proven fluency in AI and LLMs, encompassing both the strategic development of AI-powered platform capabilities and the hands-on application of AI tools to accelerate daily workflows.

Nice To Haves

Prior experience in a technical internship or a portfolio of significant personal/academic projects.

Responsibilities

Develop Clean Software: Apply your knowledge of data structures, algorithms, and object-oriented programming to contribute to full-stack components and engineering tasks.
Engineer with AI: Use AI coding tools as a learning and productivity multiplier-generating, reviewing, and critically evaluating AI-assisted code to improve speed and quality.
Debug and Learn Systems Thinking: Support issue investigation, learn how to identify root causes, and contribute to fixing software defects under the guidance of experienced engineers.
Collaborate and Communicate: Participate in design discussions, stand-ups, and code reviews, and learn how to translate requirements into well-defined technical solutions.