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Overview
Pareto.AI is seeking a Staff-level Full Stack AI Engineer to join their AI Strategy team, responsible for designing, building, and leading complex system design discussions. The ideal candidate has 10+ years of software engineering experience and a strong background in full-stack software engineering with a focus on AI/ML contexts.
Requirements
- Seniority: Staff-level, 10+ years of software engineering experience
- Software Engineer First: Fundamentally a strong full-stack software engineer with a track record of owning complex systems end-to-end
- System & Application Design: Experienced in building the harness around an AI model that makes it reliable and scalable
- Production AI Systems: Experience building and shipping agentic workflows, multi-agent orchestration, and LLM-powered applications
- Context Engineering: Battle-tested practices for dynamically supplying the right context for the right problem
- Distributed Systems: Experience with distributed systems architecture in the context of AI or data platforms
Benefits & Compensation
- Paid Time Off
- 401k Matching
- Retirement Plan
Originally posted on Himalayas
About the Role
Pareto.AI is seeking a Staff-level Full Stack AI Engineer to join their AI Strategy team, responsible for designing, building, and leading complex system design discussions. The ideal candidate has 10+ years of software engineering experience and a strong background in full-stack software engineerin
Requirements
- Seniority: Staff-level, 10+ years of software engineering experience - Software Engineer First: Fundamentally a strong full-stack software engineer with a track record of owning complex systems end-to-end - System & Application Design: Experienced in building the harness around an AI model that makes it reliable and scalable - Production AI Systems: Experience building and shipping agentic workflows, multi-agent orchestration, and LLM-powered applications - Context Engineering: Battle-tested practices for dynamically supplying the right context for the right problem - Distributed Systems: Experience with distributed systems architecture in the context of AI or data platforms
