Data Science Student (AI)

TL;DR

Data Science Student (AI): Building agentic systems that reason, plan, and act using LLMs and RAG pipelines with an accent on LLM orchestration and tool use. Focus on designing and prototyping agentic architectures to solve high-value problems across text and structured data.

Location: Hybrid (Israel: Petah-Tikva, Haifa)

Company

hirify.global's AI Solutions Group develops state-of-the-art AI capabilities to power global chip development.

What you will do

• Build agentic systems combining LLMs, retrieval, and tool use to solve complex workflows.
• Develop and optimize RAG pipelines, including embeddings and vector stores.
• Implement LLM orchestration using frameworks such as LangGraph and LangChain.
• Participate in the full project lifecycle: from ideation and problem formulation to prototyping and production deployment.
• Collaborate with a large community of AI Engineers and Data Scientists.

Requirements

• MSc/PhD student focusing on AI, Computer Science, Engineering, or a related field.
• Hands-on experience with LLMs, including prompting, fine-tuning, evaluation, or API integration.
• Practical experience with agentic frameworks (e.g., LangGraph, LangChain) and multi-step planning.
• Strong understanding of RAG (Retrieval-Augmented Generation) and retrieval pipelines.
• Substantial programming experience in Python for building multi-component systems.
• Capacity to work at least 2.5 days a week and continue studies for at least 1.5 years.

Culture & Benefits

• Hybrid work model allowing a split between on-site and off-site work.
• Opportunity to work on high-impact solutions used millions of times daily.
• Access to internal seminars, professional courses, and leading AI conferences.
• Collaborative environment within a globally recognized top-performing organization.