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Senior AI / ML Engineer (LLMs for Security Operations)

  • Hybrid
    • Rawabi, Ramallah, Palestine, State of
  • Service Delivery

Job description

About ASAL:

ASAL Technologies was established in 2000 and has grown to become a leading technology company across Jordan, KSA, UAE, and Palestine. With a workforce of over 450 engineers, ASAL offers a wide range of AI agents, services and products, Software and Digital Transformation services, Engineering and R&D services. ASAL Technologies is assembling a team of PD Engineers for a high-end multinational company. The team will be working with top notch engineers in the semiconductor industry from all over the world.


What you will do:

  • Own the AI layer of our SOC platform: cloud models (OpenAI, Gemini, Anthropic) and local models (Ollama) behind one interface.

  • Build evaluation sets from real security alerts and measure AI accuracy, cost and hallucination rates.

  • Build grounding checks so AI-written incident summaries only state facts that are in the evidence.

  • Defend the pipeline against prompt injection hidden in log data.

  • Improve anomaly detection (UEBA) and risk scoring, and ship new AI features for analysts.

  • Keep the service working when AI is switched off.

  • Red-team our own AI (prompt injection, data leakage) and build AI support for threat hunting.

Job requirements

  • 5+ years in ML / AI engineering, including 2+ years on production LLM applications.

  • Strong Python engineering: tests, code review, version control, APIs.

  • Hands-on experience with LLM evaluation and with making model output reliable.

  • Knowledge of attack techniques, threat hunting, vulnerabilities and defence methods, enough to judge AI verdicts on security alerts.

  • Good understanding of AI in attacks and red teaming: AI-written phishing, deepfakes, AI-assisted malware and reconnaissance, prompt injection, MITRE ATLAS, LLM red-teaming.

  • Strong written and verbal English skills.


Nice to have

  • Security or SOC domain experience.

  • Local model serving, quantisation and GPU sizing.

  • Property-based testing; RAG; AI-security (OWASP Top 10 for LLMs).

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