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Peloton

At-home fitness hardware with streaming workouts

Senior AI Engineer - Full Stack

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • At least 5 years of general software engineering experience, with strong foundational skills in distributed systems, asynchronous patterns, API design, microservices, and databases.
  • Ability to pivot to whichever programming language or framework best accomplishes the work.
  • Hands-on experience deploying Retrieval-Augmented Generation and agentic workflows into production using large language model APIs, vector databases, and orchestration frameworks.
  • Track record building and maintaining pipelines across fragmented enterprise systems, including customer relationship management, enterprise resource planning, configure-price-quote, and marketing platforms, with attention to entity resolution, schema design, and data quality.

Responsibilities

  • Turn ambiguous problems into functional, high-performing AI features and standalone tools.
  • Build memory architectures and vector stores, such as Pinecone and Pgvector, to maintain context while adhering to data retention and deletion policies.
  • Build pipelines and entity-resolution logic connecting data across customer relationship management, enterprise resource planning, configure-price-quote, and marketing systems, such as Salesforce, SAP, and BigQuery, to create a reliable source of truth for agents.
  • Work with business units to understand workflows, identify high-value opportunities, and select initial use cases to prove value.
  • Work closely with stakeholder teams to understand their needs and guide adoption of the solutions built.
  • Share field feedback with teams about where models succeed and where they can improve.
  • Deploy continuous evaluation pipelines to test models for hallucinations, prompt injections, data leakage, and performance regressions before code reaches production.
  • Implement semantic caching and smart routing to direct routine queries to smaller, lower-cost models and maintain low latency and efficient inference costs.

About the Company

Peloton

At-home fitness hardware with streaming workouts

Peloton creates at-home fitness experiences by pairing a connected exercise bike with a streaming service that offers live and on-demand cycling classes. The bike has a built-in screen that displays instructors and class content, and users participate by joining workouts from home. A monthly subscription grants access to a large library of classes, tracking metrics, and evolving programs, while hardware sales provide the initial purchase. The company also sells related accessories and equipment. Peloton distinguishes itself by delivering an integrated package of hardware and ongoing digital content, with live classes, instructor-led sessions, and a strong community to motivate users. The goal is to grow a large, loyal subscriber base and become a leading provider of virtual fitness experiences, making home workouts convenient and engaging for fitness enthusiasts.

Company size
1,001-5,000
Company stage
IPO
Headquarters
New York City, New York
Founded
2011

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