обновлено 4 дня назад
Senior Backend Data Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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