# AI Foundation Engineer - Zeitgeist Squad

**Company**: Spotify
**Location**: New York
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $184,050-$262,928
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.lever.co/spotify/351ad979-231f-4bee-ae49-8ff55b64f605?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_c1e24ccf-b0e

## Description

Join the Personalization team at Spotify and contribute to building the systems and models that help understand culture in real-time. As an AI Foundation Engineer on the Zeitgeist squad, you will design, build, and ship agentic systems that ground personalized listening experiences in cultural context and world knowledge. You will leverage large language models and agentic workflows, and work closely with engineers, data scientists, and product partners to turn signals into meaningful user experiences.

Responsibilities:

- Design, build, and ship agentic systems that ground personalized listening experiences in cultural context and world knowledge, used by hundreds of millions of Spotify users

- Develop and maintain pipelines for extracting, structuring, and serving cultural signals at scale, leveraging LLMs and agentic workflows

- Partner closely with teams across Personalization to integrate foundational cultural data and tech into new agentic listening experiences

- Own components end-to-end , from data pipelines and model training to production serving and monitoring

- Design and build evaluation tooling (including LLM-as-judge frameworks and dataset analysis), and run experiments to evaluate the impact of cultural context signals on user experience and engagement

- Help define the technical direction of the squad, contributing to architecture decisions, and shaping what building '0-to-1' experiences looks like in practice

Requirements:

- 5+ years of experience building and shipping machine learning models end-to-end

- Strong foundation in Python (Java and Scala are a plus) and experienced with GCP tools (e.g. Dataflow, BigQuery)

- Hands-on experience with LLMs and agent orchestration frameworks (e.g. LangChain, LlamaIndex, Pydantic), building tool-calling agents, RAG, and vector databases

- Built and shipped production-scale, data-driven AI/ML systems, ideally in content understanding, knowledge graphs, NLP, MIR, or related domains

- Excited but not overhyped by the potential of Generative AI

- Comfortable operating as a 0-to-1 builder , you thrive in ambiguous, exploratory spaces and can move from idea to experimentation to production with confidence

- Care about building inclusive, user-centric products, and you think about AI and ML in the context of products and user impact, not just tech

- Worked effectively in collaborative, cross-functional environments

- Care deeply about code quality, reliability, and scalability

## Skills

### Required
- Python
- GCP
- LLMs
- Agent orchestration frameworks
- Data-driven AI/ML systems
- Content understanding
- Knowledge graphs
- NLP
- MIR

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Source: [Apply at jobs.lever.co](https://jobs.lever.co/spotify/351ad979-231f-4bee-ae49-8ff55b64f605?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)