Distyl AI
AI Engineer, Lead
San Francisco
Sponsorship not specifiedDetected 33 days ago
API DevelopmentSupply ChainResearchLeadershipMentoring
About the role
- ABOUT DISTYL AI Distyl is an applied AI technology company partnering with the world's most ambitious institutions to rearchitect critical operations for the frontier of AI.
- As a result, Distyl's technologies affect some of the world's largest operations - from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.
- You can understand how an AI system fits into a broader enterprise ecosystem and operate as a peer to customer architecture and engineering teams - AI-Native Working
Responsibilities
- Lead and mentor a team of AI Engineers-owning technical direction, code quality, execution standards, and individual growth
- Design and implement AI systems that combine models, agents, retrieval, evaluation, and execution into coherent, production-ready systems aligned with real business outcomes
- Integrate AI systems into customer data platforms, APIs, and existing applications. Make pragmatic system design decisions that balance speed, robustness, maintainability, and long-term operability
- 5+ years of engineering experience, including experience as a tech lead or engineering lead on customer-facing or production AI projects
Requirements
- Management experience is not required, but you should have led engineers through technical decision-making, execution, mentorship, and delivery.
- Strong solutions architecture fundamentals: You have experience with cloud systems, system integrations, API design, and data engineering.
- You can understand how an AI system fits into a broader enterprise ecosystem and operate as a peer to customer architecture and engineering teams
Company info
- a 100% production deployment success rate for our customers and one of the few enterprise AI companies to run a profitable business.
- shaping system architecture, leading technical execution, working directly with customers, and improving AI systems under real-world constraints.
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This listing is sourced directly from Distyl AI's careers page and normalized into a canonical job model.