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Senior AI Platform Engineer

Nexxen·Израиль·
В офисеПолная занятостьAI EngineeringAdTech

Join an AI engineering team in Tel Aviv to design foundational platform capabilities, production-grade agentic systems, and shared AI services for multiple products and engineering teams.

Обязанности

  • Design and build reusable AI platform capabilities for multiple products.
  • Architect and implement agentic systems, including multi-agent workflows, tool orchestration, memory, and planning.
  • Develop internal AI platforms, developer tools, autonomous engineering workflows, and shared AI services.
  • Research, evaluate, and integrate emerging AI models, frameworks, and developer tools.
  • Collaborate with Data Science teams to productionize research.
  • Design end-to-end AI architectures covering ingestion, retrieval, orchestration, model integration, and deployment.
  • Build and operate cloud-native production AI services.
  • Improve AI system reliability, scalability, and observability.
  • Define engineering standards, reusable patterns, and best practices.
  • Lead technical proofs of concept and promote adoption of innovative AI technologies.
  • Mentor engineers and provide technical leadership on complex AI initiatives.

Требования

  • Bachelor’s degree in Computer Science or a related field.
  • At least 5 years of backend software engineering experience.
  • At least 3 years of hands-on experience building production AI systems.
  • Strong Python development experience.
  • Hands-on experience with Kubernetes, Docker, and cloud-native production deployments.
  • Experience with CI/CD pipelines, GitOps workflows, and modern software delivery practices.
  • Strong knowledge of large language models, prompting, reasoning techniques, structured outputs, tool calling, and retrieval architectures.
  • Experience designing end-to-end AI systems from data ingestion and orchestration through production deployment.
  • Experience designing AI agents, agentic workflows, or AI automation systems.
  • Experience working with Data Science or Machine Learning teams.
  • Strong software architecture and distributed systems design skills.
  • Excellent spoken and written English.

Будет плюсом

  • Experience with vector databases, graph databases, or modern AI data platforms.
  • Experience with LangGraph, OpenAI Agents SDK, CrewAI, Semantic Kernel, AutoGen, or similar frameworks.
  • Experience evaluating and integrating emerging AI technologies into production systems.

Соответствие

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