AI Engineer

6 days ago

Tel Aviv, Tel Aviv, Israel Root Full time ₪120,000 - ₪240,000 per year

About the Role

We're building the first autonomous AI platform that can automatically detect, fix, and validate software vulnerabilities — end to end, at scale. Think of it as agents that can update dependencies, edit Dockerfiles, rebuild Go binaries with patched versions, and validate everything automatically. This is a deeply technical, research-driven role where you'll design, implement, and scale AI agent systems that operate on real codebases. You'll work at the intersection of backend engineering, AI systems, and application security — designing agents, context pipelines, and evaluation frameworks that bring autonomous reasoning to production.

What You'll Do

  • Design and build
    AI agents from scratch to production
    — systems that detect, fix, and validate vulnerable components automatically
  • Develop and maintain
    infrastructure to support agent operations at scale [AIOps]
    , including context management, evaluations and orchestration
  • Create
    agentic workflows
    that enable multiple agents to collaborate and reason jointly
  • Build
    tools and utilities
    that agents use (e.g., for image inspection, diff generation, static analysis)
  • Implement
    evaluation and performance measurement methods
    for agent reliability and accuracy
  • Develop
    hybrid and vector database applications
    for retrieval and context management
  • Build and integrate
    AI-related apps
    such as MCP-based systems, chat interfaces, and standalone agent utilities
  • Instrument all experiments with tracing, observability, and structured metrics for reproducibility

Must Have

  • 5+ years of hands-on experience in software engineering, preferably with exposure to AI-driven products or infrastructure
  • Strong proficiency in
    Python
    for backend systems, tooling, and AI integration
  • Solid foundation in
    software engineering, infrastructure, and cloud environments
  • Proven experience working with
    LLMs and AI agents
    in applied settings
  • Familiarity with
    LangGraph, LangChain, OpenAI, Claude Code, and Cursor
    frameworks
  • Strong understanding of
    Docker
    and containerized development workflows
  • Experience designing or orchestrating
    multi-agent systems
    or
    agentic workflows
  • Awareness of
    context management techniques
    and prompt/tool/validation loop design

Nice to Have

  • Go
    experience, especially for rebuilding binaries or low-level utilities
  • Experience with
    Argo, Kubernetes
    , or other orchestration systems
  • Background in
    evaluation frameworks
    or
    agent performance measurement
  • Experience with
    code-focused AI agents
    ,
    developer tools
    , or
    AppSec/security automation
  • Familiarity with
    vector databases
    ,
    RAG pipelines
    , and
    graph-based context construction
  • Understanding of
    DevSecOps, AppSec
    , or
    software supply chain security
    concepts

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