Engineer , Applied LLM Team

Overview

Engineer I, Applied LLM Team

New York City, NY

Los Angeles, CA

Broomfield, CO

Hybrid Schedule (M/F remote, T/W/TH in-office)

At Magnite, we cultivate an environment of continuous growth and collaboration. Our work impacts what millions of people read, watch, and buy, and we’re looking for people to help us tackle that responsibility with creativity and focus. Magnite (NASDAQ: MGNI) is the world’s largest independent sell-side advertising platform. Publishers use our technology to monetize their content across all screens and formats including CTV / streaming, online video, display, and audio.

Our tech fuels billions of transactions per day!

We’re looking for an Associate Software Engineer to join our Applied LLM team, helping to build intelligent, production-grade systems powered by large language models (LLMs). You’ll collaborate with senior engineers to design agentic workflows, build evaluation tooling, and automate AI-powered tasks that make our internal tools and products smarter.

This is an ideal role for someone early in their career — whether you’re a recent graduate or have a year or two of hands-on experience — who’s excited to learn, ship code, and grow into a strong AI engineer.

The Applied LLM Team is a dedicated group focused on accelerating the integration of Large Language Models (LLMs) into Magnite’s product suite. Born out of the success of our audience recommendation tool, this team is tasked with rapidly iterating, deploying high-impact AI features, and pushing the boundaries of what's possible with LLM technology in advertising tech.

Our mission is to enhance Magnite’s products through centralized LLM development, intelligent agent systems, and tight collaboration with product and engineering teams. By acting as internal advocates and builders, we aim to make LLMs accessible, impactful, and inspiring across the company.

We move fast, experiment boldly, and imagine a smarter future—powered by AI.

• Contribute to AI-powered features - help design and build systems that use large language models for real-world applications.
• Develop agentic workflows - work with teammates to create multi-step processes that automate tasks and interact safely with internal APIs and data.
• Support evaluation and monitoring tools - help design frameworks for measuring performance, latency and reliability of LLM-based systems.
• Collaborate across teams - partner with product, data, and operations teams to bring AI-driven ideas to life.
• Work across the stack - contribute to backend (Python Flask, Django) and frontend (React, Typescript) codebases as needed.
• Learn from senior engineers - participate in code reviews, architecture discussions, and design sessions to deepen your technical understanding.
• Experiment and iterate - explore new model APIs, prompting techniques and evaluation strategies in a supportive, fast-moving environment.

• 1 to 2 years of software development experience - internships, research projects, coursework or open-source contributions all count.
• Strong programming skills in Python or JavaScript/Type Script.
• Interest in applied AI or LLMs - experience with APIs like OpenAI, Anthropic or open-source models is a plus.
• Basic understanding of backend systems - APIs, databases (SQL/Postgres) and cloud platforms (AWS preferred).
• Curiosity and a growth mindset - you love learning new tools and exploring how AI can solve real problems.
• Strong communicator who enjoys working collaboratively across technical and non-technical teams.
• Passionate about building - you’ve worked on projects that apply AI, automation or data-driven systems, whether at a school, in internships, or on your own.
• NICE TO HAVE
  :
• Experience with vector databases (FAISS, Pinecone, Chroma) or retrieval-augmented generation (RAG) projects.
• Exposure to LLM frameworks like Lang Chain or Llama Index.
• Familiarity with video or media processing (e.g. FFmpeg).
• Some experience with React, FastAPI, or Nuxt
• Previous experience with AWS, Docker or similar environments.
• Contributions to open-source or personal projects showcasing your initiative and curiosity.