Backed by Kleiner Perkins.
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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
- 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
- Medical, dental and vision insurance
More about this 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.
- 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
-...
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