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Senior Engineering Team Lead – Data Pipelines and Agentic AI

Nimble·Tel Aviv, Израиль·en
Не указаноПолная занятостьEngineering ManagementEnterprise SoftwareData Infrastructure

Lead a six-person engineering team spanning backend, full-stack, and AI development. Own scalable data-pipeline infrastructure and agentic systems that generate structured web-extraction templates for an enterprise real-time web intelligence platform.

Обязанности

  • Lead, coach, manage, and hire a team of six backend, full-stack, and AI engineers.
  • Own the architecture, delivery, operations, scalability, cost, and stability of production data pipelines.
  • Design and implement supporting interfaces, platform components, APIs, plugins, and MCP integrations.
  • Partner with product and delivery teams to define and prioritize pipeline solutions.
  • Lead the architecture and continuous improvement of agentic extraction-template generation.
  • Improve extraction-template coverage, accuracy, and scale.
  • Promote AI-native engineering practices and mentor the team in day-to-day AI development.

Требования

  • At least 3 years of team leadership experience across two or more workplaces.
  • At least 6 years of backend engineering experience with production-scale data pipelines.
  • Strong people leadership, communication, team-health ownership, and hiring experience.
  • Hands-on expertise with Python and high-scale production systems.
  • Experience with LLMs, agentic architectures, evaluation and benchmarking, and prompt or context engineering.
  • Ability to make independent architecture and build-versus-buy decisions.
  • Startup experience and ability to communicate directly with customers.

Будет плюсом

  • Enterprise experience.
  • Experience shipping an AI product in production.

Условия и преимущества

  • Work on a deeply technical platform supporting real-time AI and enterprise decision-making.
  • Help shape web search agents and live web intelligence.
  • Collaborate with a fast-moving, mission-driven engineering team.

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