AI Engineering Intern; LLM

Location

Hybrid within compatible U.S. time zones

At Frontline Education, our vision is simple but powerful: every school thriving. Every community stronger. Our mission is to transform how schools work, so every educator and student succeeds.

As an AI Engineering Intern focused on Large Language Model (LLM) applications, you’ll help bring that mission to life by building practical, thoughtful AI experiences that solve real‑world challenges for educators and school communities. This is a hands‑on opportunity to work alongside engineers, product leaders, and platform teams to prototype, develop, and improve AI‑powered features that make work simpler, smarter, and more impactful.

You’ll contribute to meaningful projects, learn from experienced mentors, and gain exposure to modern AI systems in production environments. From experimentation to deployment, your work will help shape how AI can responsibly support people and outcomes at scale.

• Contribute to the development of LLM‑powered features from concept through deployment, including prototyping, testing, iteration, and implementation.
• Support retrieval‑augmented generation (RAG) workflows, including document ingestion, vector search, and knowledge retrieval experiences.
• Write, refine, and evaluate prompts while helping improve response quality, reliability, and safety.
• Integrate AI models and APIs into backend services and workflows using modern engineering practices.
• Assist with testing, observability, and evaluation efforts to help teams measure quality and performance.
• Collaborate across engineering, product, and data teams to solve problems thoughtfully and efficiently.
• Document technical decisions, learnings, and workflows in ways that support shared understanding and long‑term team success.
• Explore emerging AI tools and approaches with curiosity, responsibility, and a focus on meaningful outcomes for users.

• Currently pursuing a Bachelor’s degree in Computer Science or a related technical field, with senior standing preferred.
• Strong foundational Python programming skills and understanding of software engineering fundamentals.
• Familiarity with APIs, backend services, and how modern web applications communicate.
• Ability to learn quickly, ask thoughtful questions, and adapt in fast‑evolving technical environments.
• Interest in solving practical problems through technology and experimentation.

• Exposure to machine learning frameworks such as PyTorch or Hugging Face Transformers.
• Familiarity with orchestration frameworks such as Lang Chain or Llama Index.
• Experience exploring cloud environments such as AWS, Azure, or GCP.
• Interest in responsible AI practices, including bias mitigation, privacy, and safe deployment patterns.
• Academic, personal, or internship projects involving NLP, conversational AI, document search, or AI‑assisted tools.
• Hands‑on experience working with LLM APIs such as OpenAI, Anthropic, or similar platforms.

• A growth mindset and willingness to learn through experimentation and feedback.
• Comfort navigating ambiguity while staying focused on practical solutions and outcomes.
• Strong collaboration and communication skills across technical and non‑technical teams.
• Curiosity about how AI can improve experiences for educators, administrators, and school communities.
• A thoughtful and responsible approach to using emerging technologies.
• The ability to balance innovation with reliability, usability, and human‑centered design.
• Motivation to contribute meaningfully, take ownership of your work, and continuously improve.

At Frontline Education, we’re reimagining what’s possible by becoming an AI‑first organization, transforming how we think, work, and serve the educators who shape our schools every day. By using AI in thoughtful, practical ways, we’re creating tools that help educators save time, gain insights, and focus more on what matters most — their students.

As part of our team, you’ll be expected and empowered to build and apply AI skillsets that grow with you, because at…