About the job
Senior AI Engineer
CYBRET AI
At CYBRET AI, we are pioneering an AI-first cybersecurity platform that autonomously reasons, prioritizes, and takes action. Our mission is to transform the landscape of security operations by moving away from fragmented tools to intelligent systems that function at machine speed.
We are in search of a Senior AI Engineer who will play a pivotal role in designing, building, and scaling the intelligence core of CYBRET AI.
This is a critical technical position where you will have substantial influence over our architecture, model development, and the application of AI in real-world security scenarios.
Your Role
As a Senior AI Engineer, you will be at the forefront of CYBRET AI’s technology. You will design and implement AI systems that analyze security data, navigate complex environments, and make consequential decisions.
You will collaborate closely with security engineers, platform engineers, and product teams to translate advanced AI concepts into robust, production-ready systems.
Key Responsibilities
AI Systems & Architecture
- Design and implement AI pipelines for detection, reasoning, prioritization, and decision support.
- Build agent-based and workflow-driven AI systems that operate on security data.
- Work with both structured and unstructured data, including logs, alerts, telemetry, and external intelligence.
- Create evaluation, feedback, and continuous improvement mechanisms.
Model Development & Integration
- Develop and integrate LLM-based systems, retrieval pipelines, and hybrid ML approaches.
- Design effective prompt strategies, tool-calling systems, and multi-step reasoning processes.
- Optimize production systems for latency, cost, reliability, and accuracy.
Production & Reliability
- Build AI systems that are observable, debuggable, and safe in real-world environments.
- Collaborate on infrastructure, deployment, and scaling of AI services.
- Implement monitoring systems, evaluation metrics, and safety guardrails.
Collaboration & Influence
- Team up with security domain experts to embed real-world reasoning into our AI systems.
- Contribute to product direction and technical strategy.
- Establish engineering standards and mentor other engineers as the team expands.
Qualifications
- Extensive experience in building production-grade AI or ML systems.
- Proficient in LLMs, retrieval-augmented generation, or agent-based systems.
- Strong software engineering background, particularly in Python and modern backend systems.
- Experience with distributed systems, APIs, and data pipelines.
- Excellent problem-solving abilities and the capacity to reason through complex systems.
- Familiarity with cybersecurity, cloud security, or large-scale systems is a plus.
