Sr. AI Engineer (Full Stack)

Warmada; New York (NY); On-site; USD 161,000 - 225,000; Full time

Benefits offered by this job

Medical, dental and vision insurance

401k and equity opportunities

Paid time off

Job summary

Peloton is seeking a scrappy, creative AI Engineer to transform ideas into production-grade AI features that empower our global organization. You will architect the Intelligence & Integration Layers that connect autonomous agents to Peloton's enterprise infrastructure.

Work across CRM, ERP, CPQ, and marketing systems to build memory architectures, vector stores, and pipelines while ensuring data retention policies.

Qualifications

• 5–7+ years of general software engineering experience.
• Comfortable pivoting to any language/framework that gets the job done.
• Hands-on experience deploying RAG and agentic workflows using LLM APIs and vector databases.
• Proven track record building pipelines across enterprise systems with data quality in mind.

Responsibilities

• Take raw ideas and turn them into production-grade AI features and tools.
• Build memory architectures and vector stores to maintain context with data retention policies.
• Connect data across CRM, ERP, CPQ, and marketing systems into a single source of truth for agents.

Skills

General software engineering

Distributed systems

APIs & microservices

LLM / RAG

Data pipelines

Tools

Vector databases

Pinecone

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.