Sr. AI Engineer (Full Stack)

Peloton; New York; On-site; USD 161,000 - 225,000; Full time

Benefits offered by this job

Annual equity awards

Employee Stock Purchase Plan

Health benefits

Job summary

Peloton Interactive, Inc. in New York City is seeking a scrappy, creative AI Engineer to build production-grade AI features and integration layers that empower Peloton’s global organization.

You will architect memory architectures, vector stores, and pipelines that connect CRM, ERP, CPQ, and marketing systems into a reliable source of truth for autonomous agents, with fast, high-quality shipping and cross-functional collaboration.

Qualifications

• 5-7+ years of software engineering experience.
• Experience deploying retrieval-augmented generation (RAG) and agentic workflows.
• Experience with data integration across CRM/ERP/CPQ and marketing platforms.

Responsibilities

• Take ambiguous problems and turn them into functional, high-performing AI features and standalone tools.
• Build pipelines and memory architectures that maintain context with data-retention policies.
• Embed with Peloton business units to understand workflows and identify high-value opportunities.
• Deploy continuous evaluation pipelines to test models for hallucinations and data leakage.
• Implement semantic caching and smart routing to reduce latency and inference costs.

Skills

General Software Engineering

RAG deployment

Agentic Workflows

LLM APIs

Vector databases

Data quality

Entity resolution

Pinecone

Tools

Pinecone

Pgvector

Salesforce

SAP

BigQuery

Job description

ABOUT THE ROLE

We at Peloton are looking for a scrappy, creative and fast-moving AI Engineer.

You’ll take raw ideas and rapidly transform them into production-grade applications that empower our global organization. You will architect the Intelligence & Integration Layers that connect autonomous agents directly into Peloton’s enterprise infrastructure.

We don't care about your specific stack or what programming language you grew up with. We care about systems thinking, engineering fundamentals, product sense, and your ability to ship fast. Work at the bleeding edge of the AI ecosystem with top-tier tools and compute resources. What you build goes directly into the hands of real users in days, not months.

YOUR DAILY IMPACT AT PELOTON

• Take ambiguous problems and turn them into functional, high-performing AI features and standalone tools
• Solve the \"State Problem\" for AI by building memory architectures and vector stores (Pinecone, Pgvector) that maintain context while strictly adhering to data retention and deletion policies
• Build pipelines and entity-resolution logic that connect data across CRM, ERP, CPQ, and marketing systems (e.g. Salesforce, SAP, BigQuery) into a single, reliable source of truth agents can act on
• Embed with Peloton business units to understand their workflows, identify high-value opportunities, and select the right initial use cases to prove value
• Embed closely with stakeholder teams, understand their needs, and guide adoption of what you build
• Share field feedback that helps other teams understand where the 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 hits production
• Implement Semantic Caching and smart routing logic (directing routine queries to smaller, cheaper models) to maintain low latency and efficient inference costs

YOU BRING TO PELOTON

• 5-7+ Years of General Software Engineering. Strong foundational software engineering skills (distributed systems, async patterns, API design, microservices, and databases)
• Comfortable pivoting to whatever language or framework gets the job done fastest
• Hands-on experience deploying RAG (Retrieval-Augmented Generation) and Agentic Workflows into production using LLM APIs, vector databases, and orchestration frameworks
• Proven track record building and maintaining pipelines across fragmented enterprise systems (CRM, ERP, CPQ, marketing platforms) with attention to entity resolution, schema design, and data quality — not just consuming clean data once it exists
• Cutting-Edge Stack: Work at the bleeding edge of the AI ecosystem with top-tier tools and compute resources.
• Direct Impact: What you build goes directly into the hands of real users in days, not months.

The base salary range represents the low and high end of the anticipated salary range for this position based at our New York City headquarters. The actual base salary offered for this position will depend on numerous factors including, without limitation, experience and business objectives and if the location for the job changes. Our base salary is just one component of Peloton’s competitive total rewards strategy that also includes annual equity awards and an Employee Stock Purchase Plan as well as other region-specific health and welfare benefits.

As an organization, one of our top priorities is to maintain the health and wellbeing for our employees and their family. To achieve this goal, we offer robust and comprehensive benefits including:

• Medical, dental and vision insurance
• Generous paid time off policy
• Short-term and long-term disability
• Access to mental health services
• 401k, tuition reimbursement and student loan paydown plans
• Employee Stock Purchase Plan
• Fertility and adoption support and up to 18 weeks of paid parental leave
• Child care and family care discounts
• Free access to Peloton Digital App and apparel and product discounts
• Commuter benefits and Citi Bike Discount
• Pet insurance and so much more!

Base Salary Range

$160,600-$224,950 USD

ABOUT PELOTON:

Peloton (NASDAQ: PTON) provides Members with expert instruction, and world class content to create impactful and entertaining workout experiences for anyone, anywhere and at any stage in their fitness journey. At home, outdoors, traveling, or at the gym, Peloton brings together innovative hardware, distinctive software, and exclusive content. Founded in 2012 and headquartered in New York City, Peloton has millions of Members across the US, UK, Canada, Germany, Australia, and Austria. For more information, visit www.onepeloton.com.

Peloton is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Equal employment opportunity has been, and will continue to be, a fundamental principle at Peloton, where all team members, applicants, and other covered persons are considered on the basis of their personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, or any other protected characteristic as established by applicable law. This policy of equal employment opportunity applies to all practices and procedures relating to recruitment and hiring, compensation, benefits, termination, and all other terms and conditions of employment. If you would like to request any accommodations from application through to interview, please email: [e-mail].
At Peloton, we embrace technology, including AI, to enhance productivity and accelerate innovation in the work we do for our members. However, in our hiring process, our priority remains in getting to know you and your unique qualifications. To ensure a fair and equitable process, we do not permit the use of AI tools during any stage of the application and interview process. In considering you as an applicant, we want to understand your skills, experiences, and motivations without mediation through an AI system. We also want to directly assess your communication skills without the use of an AI tool.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance, as applicable to applicants applying for positions in these jurisdictions.