Position Details
About this role
This role involves leading the development of autonomous AI agents and enterprise AI infrastructure at Peloton, leveraging large language models, cloud platforms, and microservices architecture.
Key Responsibilities
- Architect and code multi-agent systems
- Collaborate with business units
- Evaluate AI frameworks
- Design inference services
- Manage AI security and costs
Technical Overview
Technical scope includes AI/ML infrastructure, LLM orchestration frameworks, cloud environments (AWS, GCP, Azure), distributed systems, and containerization with Kubernetes and Docker.
Ideal Candidate
The ideal candidate is a senior AI/ML engineer with 8+ years of experience in software engineering, specializing in AI infrastructure, large language models, and cloud environments. Strong leadership and collaboration skills are essential for building enterprise-scale AI solutions.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 8 years of experience, Lack of experience with LLM frameworks, No cloud or distributed systems experience
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