Staff Backend Engineer (AI Application)

TL;DR

Staff Backend Engineer (AI Application): Building the next generation of investigator tools powered by state-of-the-art agentic AI and cutting-edge backend technologies with an accent on designing, building, maintaining, and evolving the core agent harness and shared AI capabilities. Focus on shaping orchestration, retrieval, context, memory, and backend architecture across the platform.

Location: Israel - Petah Tikva

Company

hirify.global’s mission is to enable its global customers to protect and save lives by enhancing digital investigations and intelligence gathering to accelerate justice in communities around the world.

What you will do

• Design and evolve multi-agent RAG architectures.
• Develop production-grade orchestration flows for LLM-based agents, including tool calling, routing, control loops, and failure handling.
• Build and improve retrieval pipelines across structured and unstructured data using RAG and adjacent retrieval technologies.
• Design and implement scalable, reliable, event-driven data ingestion and processing pipelines.
• Build and maintain high-performance async Python APIs.
• Mentor junior and mid-level engineers on backend and AI best practices.

Requirements

• 5+ years of backend engineering experience.
• Deep Python expertise, including async/await, type annotations, FastAPI or similar, Pydantic, and SQLAlchemy.
• Hands-on production experience with LLM orchestration, agent runtimes, tool-calling flows, or multi-step AI systems.
• Strong experience building production AI systems using RAG, retrieval pipelines, and related retrieval technologies.
• Solid understanding of event-driven architecture and distributed system design.
• A genuine passion for AI engineering and curiosity about fast-moving agentic systems, retrieval methods, and emerging model capabilities.

Nice to have

• Experience with cloud platforms such as AWS or similar environments.
• Experience with agent orchestration frameworks such as LangGraph, PydanticAI, LangChain, or similar tools.
• Experience with vector databases, search index design, and retrieval infrastructure.
• Experience designing and running LLM evaluation pipelines.
• Experience working in privacy-sensitive, regulated, or security-critical environments.