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Senior Backend Data Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior Backend Data Engineer (AI): Designing and maintaining robust data pipelines and infrastructure to support AI/ML products with an accent on scalability, reliability, and data-driven decision-making. Focus on building high-performance systems for LLM/RAG integration, ensuring system observability, and collaborating with cross-functional teams to improve clinical outcomes.

Location: Tel Aviv, Israel; hybrid work opportunities

Company

hirify.global builds AI-powered systems that help behavioral health, hospice, home health, and other community-based care teams reduce administrative burden and improve care delivery.

What you will do

  • Design, implement, and maintain scalable data pipelines and backend systems for operational and analytical workloads.
  • Optimize data processing for speed, efficiency, fault tolerance, and integration with AI/ML workflows.
  • Monitor and improve uptime, reliability, observability, data quality, consistency, and usability.
  • Collaborate with engineering, product, and data science teams to deliver features and AI-driven capabilities.
  • Participate in on-call rotations with a service-oriented approach and fast responsiveness.
  • Lead scalability efforts for increasing data volumes, AI/ML initiatives, and new product launches.

Requirements

  • At least 5 years of experience with Python in backend or data engineering roles.
  • Experience designing and operating large-scale data pipelines, backend services, and production data infrastructure.
  • Hands-on experience with production ML/AI-powered products and integrating data platforms with AI features.
  • Familiarity with LLM and RAG technologies, including their deployment or integration.
  • Experience with or knowledge of data processing, streaming, APIs, storage, cloud infrastructure, and Kubernetes technologies such as Apache Spark, DBT, Airflow, Kafka, FastAPI, AWS, and RDS.
  • Strong understanding of performance optimization, high availability, scalability, reliability, data quality, governance, security, observability, and cross-functional collaboration.

Culture & Benefits

  • Work on a product intended to improve mental health and care delivery.
  • Significant equity participation.
  • Opportunity to shape technology that increases the effectiveness of therapy.
  • Hybrid work opportunities.
  • Mental health days that can be taken when needed.

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