Note: The job is a remote job and is open to candidates in USA. Peloton Interactive provides connected fitness hardware, software, and content experiences for Members worldwide. The company is seeking a Senior AI Software Engineer to transform ideas into production-grade AI applications, build intelligence and integration layers for enterprise systems, and ensure secure, compliant, and efficient AI workflows.
Responsibilities
- Take ambiguous problems and turn them into functional, high-performing AI features and standalone tools
- Implement standardized integration layers connecting agents to core enterprise systems using secure protocols like MCP
- 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
- Partner with Security to implement Identity Propagation (e.g., OAuth On-Behalf-Of flows) and RBAC. Ensure agents execute tasks strictly using the user’s specific permissions, eliminating privilege escalation risks
- Build "Data Clean Rooms" and automated PII masking/redaction pipelines to guarantee that sensitive member, employee, or proprietary financial data is never exposed to external model providers
- Ensure all AI workflows comply with enterprise regulatory standards and internal data governance policies
- 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
- Participate in creating templates, SDKs, and libraries that enable non-engineers and analysts to "vibe code" and prototype safely without bypassing compliance or security controls
Skills
- 5–7+ Years of General Software Engineering: Strong foundational software engineering skills (distributed systems, async patterns, API design, microservices, and databases)
- Language-Agnostic Mindset: Deep fluency in Python or Go, but comfortable pivoting to whatever language or framework gets the job done fastest
- Production AI Execution: Hands-on experience deploying RAG (Retrieval-Augmented Generation) and Agentic Workflows into production using LLM APIs, vector databases, and orchestration frameworks
Benefits
- Annual equity awards
- Employee Stock Purchase Plan
- 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
- Fertility and adoption support
- Up to 18 weeks of paid parental leave
- Child care and family care discounts
- Free access to Peloton Digital App
- Apparel and product discounts
- Commuter benefits
- Citi Bike Discount
- Pet insurance
Company Overview
Company H1B Sponsorship