Senior Data Scientist (AI)

TL;DR

Senior AI-First Backend & Data Engineer (AI Engineering): Building and optimizing scalable data, ML, and AI pipelines and backend systems for a predictive analytics platform with an accent on integrating AI into production workflows and shaping the AI-driven software development lifecycle. Focus on making pragmatic architectural decisions, taking end-to-end ownership from design to deployment, and driving operational excellence.

Location: Onsite in Herzliya, Israel

Company

hirify.global is a fast-growing startup founded by former product managers, focused on improving society's experience with software through a predictive analytics platform.

What you will do

• Design, build, and own scalable data, ML, and AI pipelines and backend systems for the Predict platform.
• Integrate ML and AI capabilities into live backend workflows for production decision-making.
• Shape how AI transforms the software development lifecycle, including system design, code generation, review, and experimentation.
• Take end-to-end ownership from design through production deployment, monitoring, and impact measurement.
• Make pragmatic architectural decisions balancing modern AI/data technologies with reliability, cost, and delivery timelines.
• Collaborate cross-functionally with product, design, infrastructure, and partner teams to translate customer and business needs into elegant technical solutions.

Requirements

• 5+ years building production-grade backend, data pipelines, and event-driven systems in distributed cloud environments (AWS and/or GCP).
• Deep backend expertise in Java (Spring Boot), Python and/or Go.
• Hands-on experience with relational and non-relational databases, data modeling, and query optimization.
• Experience with integrating AI, LLM or agent-based components into backend workflows.
• Strong hands-on experience leveraging AI tooling to accelerate engineering workflows and system design.
• Strong engineering fundamentals: testing, CI/CD, observability, reliability, and production ownership.

Nice to have

• Experience shipping ML and ML-Ops powered systems in production.
• Experience with distributed data technologies (e.g., Parquet, Athena, or similar query engines).

Culture & Benefits

• Work in a high-ownership, fast-paced environment.
• Join one of the fastest-growing startups, supported by best-in-class institutions.
• Gain experience in a diverse and exciting set of technologies and clients.
• Have a real impact on hirify.global's future.
• Work in a passionate, dynamic, and fun culture.