Senior Ai Engineer

JFrog

Tel Aviv, Israel
On-site
Langgraph agent architectures
Langchain tooling and chains
Backend llm systems
Design and own agent architectures – Build and evolve graph-based agent workflows (multi-node LLM flows, tool execution, routing, human-in-the-loop review gates) using LangGraph, with clear state schemas, checkpointing, and streaming to production

Job Summary

  • Design and own agent architectures – Build and evolve graph-based agent workflows (multi-node LLM flows, tool execution, routing, human-in-the-loop review gates) using LangGraph, with clear state schemas, checkpointing, and streaming to production.
  • Turn product and user needs into backend AI – Work with Engineers, Product, and Analysts to translate business problems into technical requirements and implementations, including agent types, tools, RAG pipelines, and configuration-driven behavior.
  • Raise the bar on quality and reliability – Establish patterns for observability (e.g., LangSmith), error handling, content safety, bounded autonomy (tool schemas, review workflows), and evaluation systems so that AI behavior is predictable and auditable.

Matching Summary

Design and own agent architectures – Build and evolve graph-based agent workflows (multi-node LLM flows, tool execution, routing, human-in-the-loop review gates) using LangGraph, with clear state schemas, checkpointing, and streaming to production.

Skills & Requirements

Must-have

  • LangGraph agent architectures
  • LangChain tooling and chains
  • backend LLM systems
  • state management and streaming
  • production GenAI applications

Nice-to-have

  • observability, validation, and safe rollout
  • human-in-the-loop review gates

Key Requirements

  • 5+ years in production ML/AI and backend systems
  • Proficient in Python
  • Bachelor's degree or higher in Computer Science

Work Rights

Not specified

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