Rhythms · 1 month ago
Principal AI Engineer
Rhythms is building an AI operating system to enable enterprises to become AI-native. As a Principal AI Engineer, you will lead the development of production-ready AI systems and workflows, collaborating with a world-class team to shape the future of enterprise AI.
Artificial Intelligence (AI)InternetOperating Systems
Responsibilities
Deep expertise in production-ready AI systems and agentic workflows, not just demos
Entrepreneurial ownership mentality with bias toward shipping and iterating in production
Proven ability to architect complex AI systems, build evals-first, and make data-backed decisions
Strong architectural skills to design scalable, maintainable systems that balance complexity and pragmatism
Translate technical tradeoffs and risks effectively to both engineering teams and business stakeholders
Deep curiosity and drive to explore, apply, and productionize the newest AI models and technologies
7+ years building production software with at least 2+ years deeply focused on LLMs, agents, or AI-native applications
Expert proficiency in Python and experience with React/Next.js for AI-powered UIs
Experience shipping agentic systems to production
Experience with RAG implementations: Hybrid search, Re-ranking, context optimization, and retrieval quality measurement
Designed and architected distributed systems at production scale
Proven ability to influence technical direction across multiple teams while mentoring engineers
Track record of driving ambiguous, high-impact initiatives from concept to measurable business outcomes
Effective collaboration across distributed teams spanning US and India time zones
Contributed to open source AI projects or published research
Background in high-scale distributed systems
Qualification
Required
7+ years building production software with at least 2+ years deeply focused on LLMs, agents, or AI-native applications
Expert proficiency in Python and experience with React/Next.js for AI-powered UIs
Experience shipping agentic systems to production
Experience with RAG implementations: Hybrid search, Re-ranking, context optimization, and retrieval quality measurement
Designed and architected distributed systems at production scale
Proven ability to influence technical direction across multiple teams while mentoring engineers
Track record of driving ambiguous, high-impact initiatives from concept to measurable business outcomes
Effective collaboration across distributed teams spanning US and India time zones
AI-First Builder – Deep expertise in production-ready AI systems and agentic workflows, not just demos
Ship Fast, Learn Faster – Entrepreneurial ownership mentality with bias toward shipping and iterating in production
Technical Leadership – Proven ability to architect complex AI systems, build evals-first, and make data-backed decisions
System Design Excellence – Strong architectural skills to design scalable, maintainable systems that balance complexity and pragmatism
Clear Communicator – Translate technical tradeoffs and risks effectively to both engineering teams and business stakeholders
Passion for the Cutting Edge – Deep curiosity and drive to explore, apply, and productionize the newest AI models and technologies
Preferred
Bachelor's or Master's degree in Computer Science or related field, or equivalent experience with demonstrable technical excellence
Contributed to open source AI projects or published research
Background in high-scale distributed systems
Based in or willing to relocate to San Francisco Bay Area
Benefits
Significant equity stake at early stage (15 people = meaningful ownership)
$26M runway, paying enterprise customers, sustainable path—build the right product, not chase next fundraise
Company
Rhythms
Rhythms offers generative AI, the prevalence of hybrid workplaces, the imperative to do more with less are reshaping organizations function.