Senior AI Platform Engineer for Agentic AI Infrastructure

Fdetimes

New York (NY)

Presencial

USD 193.000 - 290.000

Tempo integral

14 dias+

Uma candidatura completa em um minuto

Currículo e carta de apresentação personalizados, prontos para serem enviados.

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Resumo da vaga

Harvey in New York is building a premier AI platform for legal and professional services. We design model routing, context management, and agent infrastructure to enable our products to deliver high‑quality work at scale.

This role centers on backend systems and AI engineering, shaping the foundation across multiple product teams. You will own integration, evaluation, and memory tooling, collaborate with engineers and PMs, and help push the boundaries of autonomous AI in high‑stakes

Qualificações

  • 6+ years of experience building backend systems, with at least 1+ year focused on AI/ML engineering.
  • Experience shipping multi-model or multi-provider AI systems in production.
  • Familiarity with context management, session state, or memory systems in AI or distributed systems.
  • Experience building internal platforms, SDKs, or shared infrastructure that other engineering teams actually adopted.
  • Strong judgment about abstractions. Pragmatic about shipping incrementally.

Responsabilidades

  • Design and build platform-level abstractions and systems for Harvey's agentic products.
  • Own infrastructure for model integration, routing, and evaluation that helps Harvey choose and deploy the right foundation model for any given context.
  • Build evaluation frameworks and tooling that let every team across Harvey iterate on AI quality effectively.
  • Partner closely with product engineering teams, PMs, and design to launch cutting-edge AI products.
  • Evaluate, prototype, and integrate the latest advancements in AI and agentic systems as they emerge.

Conhecimentos

Backend systems
AI/ML engineering
Context management
Platform ownership
Multi-model AI

Descrição da vaga

Harvey in New York is building a premier AI platform for legal and professional services. We design model routing, context management, and agent infrastructure to enable our products to deliver high‑quality work at scale.

This role centers on backend systems and AI engineering, shaping the foundation across multiple product teams. You will own integration, evaluation, and memory tooling, collaborate with engineers and PMs, and help push the boundaries of autonomous AI in high‑stakes

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