AI Forward Deployed Engineer
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قم بإنشاء حساب مجاني لحفظ الوظائف وإنشاء التنبيهات والعودة إلى هذه القائمة من لوحة التحكم الخاصة بك.
بالمتابعة، فإنك توافق على الشروط & سياسة الخصوصية.
Key Responsibilities
- Design and deploy production-grade AI agents and multi-agent workflows
- Build Agentic AI solutions using LangChain, LangGraph, and similar frameworks
- Develop custom integrations, tools, APIs, workflows, and agent graphs using Python
- Integrate AI agents with enterprise cybersecurity platforms and customer infrastructure
- Build AI workflows for security alert triage, investigation, threat hunting, incident response, and automation
- Troubleshoot AI behaviour and improve agent accuracy, reliability, guardrails, and performance
- Take solutions from idea code integration deployment production
- Work directly with enterprise customers, SOC teams, and MSSPs to solve real-world security challenges Key Technical
Requirements:
- Excellent hands-on Python engineering skills – mandatory
- Proven experience building LLM / Agentic AI applications
- Strong experience with LangGraph and/or LangChain
- REST APIs, WebSockets, FastAPI, Pydantic & API integrations
- LLMs, RAG, embeddings, vector search & structured outputs
- Multi-agent architectures, tool/function calling, state, memory & orchestration
- MCP (Model Context Protocol) and AI agent infrastructure
- Docker, Kubernetes, Linux, Git & CI/CD
- Azure, AWS or GCP experience
- Understanding of cybersecurity operations including SOC, SIEM, EDR/XDR, SOAR, Incident Response & MITRE ATT&CK
- Ability to deploy and troubleshoot solutions in complex enterprise environments Experience integrating technologies such as Microsoft Sentinel/Defender, CrowdStrike, Splunk, Palo Alto, Fortinet, Elastic or OpenSearch will be a strong advantage. We are particularly interested in engineers who have built and deployed real Agentic AI systems , not just experimented with prompts or standalone LLM applications. *Only shortlisted candidates will be contacted.*
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