Эта вакансия пока только на английском.

← Назад к вакансиям
ב

Senior Generative AI Engineer

בנק לאומי·Lod, Израиль·he
В офисеПолная занятостьAI EngineeringBanking

Lead the strategy, development, and deployment of generative AI solutions for a banking organization, from identifying opportunities through implementation, measurement, and wider adoption. Full-time, on-site role at the bank’s headquarters in Lod, Israel.

Обязанности

  • Set the strategy and design architecture for generative AI solutions, including multi-agent systems and RAG.
  • Design and optimize RAG pipelines that combine large language models with structured and unstructured data, knowledge graphs, and vector stores.
  • Build and automate AI solutions using AWS services, including Bedrock, S3, SageMaker, Lambda, and Step Functions.
  • Lead proof-of-concept work and evaluate emerging generative AI technologies against business needs.
  • Integrate AI solutions with existing banking systems through APIs and microservices.
  • Collaborate with data engineers, analysts, and product managers to turn business needs into practical AI solutions.
  • Implement MLOps practices, including CI/CD, Docker, and monitoring, to support reliable and maintainable applications.

Требования

  • At least 5 years of hands-on Python development experience, including building and deploying AI and machine-learning applications.
  • Extensive hands-on experience with AWS services relevant to AI/ML, including S3, Glue, Athena, SageMaker, Lambda, and Bedrock.
  • Experience with generative AI frameworks such as LangChain, LlamaIndex, or Haystack.
  • Practical experience designing and deploying RAG applications, using vector databases and document-indexing techniques.
  • Strong understanding of software development practices, including Git, clean code, and unit testing.
  • Ability to break down complex business challenges into practical technical tasks.

Будет плюсом

  • Experience in financial services, fintech, or other highly regulated industries.
  • Familiarity with graph databases such as Neo4j or Amazon Neptune.
  • Experience with MLOps platforms such as Kubeflow or MLflow.
  • A master’s or doctoral degree in computer science, artificial intelligence, or a related field.

Соответствие

Больше возможностей

Похожие вакансии

Новые вакансии в категории «AI Engineering».

Создайте профиль, чтобы увидеть оценку соответствия.

Создайте профиль, чтобы увидеть оценку соответствия.

Создайте профиль, чтобы увидеть оценку соответствия.

Создайте профиль, чтобы увидеть оценку соответствия.