Senior Backend Software Engineer

We are looking fof

For our site in Netanya, we are looking for an experienced Senior Backend Software Engineer with strong backend foundations and hands-on experience building agentic AI systems, to join a highly hands-on focused R&D team in the C4I and Cyber division and help build the core of C4I systems. The team owns the full process: solution definition, capability research, technology exploration, prototyping, and execution. We work at the intersection of backend systems, AI agents, on-prem LLMs, and operational workflows, with a strong emphasis on turning advanced concepts into practical capabilities. This is your opportunity to be part of a team that shapes the future of AI-driven operational systems in a meaningful, defense-oriented environment.

In this role you will

Lead backend development of agentic AI workflows and LLM-based orchestration systems

Design and implement reliable agentic flows, including integration with external tools and enterprise systems

Integrate on-premise LLM technologies into product-grade capabilities for complex operational environments

Build and maintain backend services using modern languages such as Python, Java, Go, or Node.js

Contribute to technical thinking, solution design, and exploration of new capabilities

Work with tool calling, structured outputs, prompt and workflow design, and context handling

Collaborate across disciplines to deliver end-to-end solutions from concept to execution

Requirements

5+ years of backend development experience

At least 1 year of hands-on experience in agentic development, including AI agents, agent workflows, or LLM-based orchestration systems

Strong experience with on-premise LLM deployment and integration

Strong understanding of system design, APIs, microservices, and scalable backend architecture

Experience with frameworks such as LangGraph, LangChain, or LlamaIndex - advantage

Experience with self-hosted inference environments such as vLLM, Ollama, or similar - advantage

Experience with RAG, vector databases, observability, and production debugging of LLM systems - advantage

*Only relevant applications will be answered

#Netanya