Associate Applied LLM Engineer

About Magnite

At Magnite, we cultivate an environment of continuous growth and collaboration. Our work impacts what millions of people read, watch, and buy. 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, fueling billions of transactions per day!

About This Role

We’re looking for an Associate Applied LLM 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.

About This Team

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

In This Role You Will

• 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.

We’re Looking For Someone With

• 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/TypeScript.
• 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 LangChain or LlamaIndex.
• 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.

Our Current Tech Stack

• Backend: Python, Node
• Frontend: Nuxt, React, Typescript, Node.js
• Data: PostgreSQL, FFmpeg
• Infra: AWS, Docker, Terraform
• LLM/AI: OpenAI, Llama, LangChain

Perks And Benefits

• Comprehensive Healthcare Coverage from Day One
• Generous Time Off Holiday Breaks and Quarterly Wellness Days
• Equity and Employee Stock Purchase Plan
• Family-Focused Benefits and Parental Leave
• 401k Retirement Savings Plan with Employer Match
• Disability and Life Insurance
• Cell Phone Subsidy
• Fitness and Wellness Reimbursement

Company Culture

We believe collaboration is essential to success. Magnite’s hybrid schedule includes two days worked remotely (Monday and Friday) and three days on-site (Tuesday, Wednesday and Thursday). Our offices provide catered lunches, beverages, snacks, training and development, and office events to support your work week. We also understand you have appointments, families, hobbies, and other commitments. Magnite strives to maintain a healthy work/life integration for all employees so you can bring your best every day - both at work and at home.

• Community Service and Volunteer Events
• Company-Matched Charitable Contributions
• Wellness Coach and Mental Health Support
• Career Development Initiatives and a Career Growth Framework
• Culture and Inclusion Programs
• Bonusly Peer-to-Peer Recognition Program

About Us

The world's leading agencies and brands trust our platform to access brand-safe, high-quality ad inventory and execute billions of advertising transactions each month. Anchored in bustling New York City, sunny Los Angeles, mile-high Denver, historic London, and down under in Sydney, Magnite has offices across North America, EMEA, LATAM, and APAC. Magnite is an Equal Opportunity Employer and committed to diversity and inclusion.

Key skills/competency

• Large Language Models (LLMs)
• Python
• JavaScript/TypeScript
• AI Development
• Backend Systems
• API Integration
• SQL/Postgres
• Cloud Platforms (AWS)
• Agentic Workflows
• Software Development