Full Stack AI Engineer (Staff level)
Source: Himalayas
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Pareto.AI is seeking a Staff-level Full Stack AI Engineer to design and build complex AI systems, focusing on agentic workflows and LLM-powered applications. This remote, full-time role requires 10+ years of software engineering experience with a strong background in full-stack development and production AI systems, offering an opportunity to lead system design discussions.
Job Description
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.RequirementsSeniority: Staff-level, 10+ years of software engineering experienceSoftware Engineer First: Fundamentally a strong full-stack software engineer with a track record of owning complex systems end-to-endSystem & Application Design: Experienced in building the harness around an AI model that makes it reliable and scalableProduction AI Systems: Experience building and shipping agentic workflows, multi-agent orchestration, and LLM-powered applicationsContext Engineering: Battle-tested practices for dynamically supplying the right context for the right problemDistributed Systems: Experience with distributed systems architecture in the context of AI or data platformsBenefitsPaid Time Off401k MatchingRetirement PlanOriginally posted on Himalayas
Full Description
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.RequirementsSeniority: Staff-level, 10+ years of software engineering experienceSoftware Engineer First: Fundamentally a strong full-stack software engineer with a track record of owning complex systems end-to-endSystem & Application Design: Experienced in building the harness around an AI model that makes it reliable and scalableProduction AI Systems: Experience building and shipping agentic workflows, multi-agent orchestration, and LLM-powered applicationsContext Engineering: Battle-tested practices for dynamically supplying the right context for the right problemDistributed Systems: Experience with distributed systems architecture in the context of AI or data platformsBenefitsPaid Time Off401k MatchingRetirement PlanOriginally posted on Himalayas