Magnite→
Engineer I, Applied LLM Team at Magnite in New York, NY
Entry LevelHybridFull-timeNew York, NY$80k–$100k/yr
Skills
pythonjavascript/typescriptlarge language modelsapissql/postgresawscuriositypassion for aicollaborationgrowth mindsetcommunication
Job Description
Summary: Magnite is the world’s largest independent sell-side advertising platform, and they are seeking an Associate Software Engineer to join their Applied LLM team. The role involves building intelligent systems powered by large language models, collaborating with senior engineers, and contributing to AI-driven features and workflows.
Responsibilities:
- 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
Required Qualifications:
- 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
Preferred Qualifications:
- 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
Required Skills: Python, JavaScript/TypeScript, Large Language Models
Important Skills: APIs, SQL/Postgres, AWS
Nice-to-Have Skills: Curiosity, Passion for AI, Collaboration, Growth Mindset, Communication
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, 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
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
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