AI Engineer at Guardz

<div class="content-intro"><p>Established in 2022, Guardz rapidly emerged as a noteworthy player in the cybersecurity sphere, securing $85M in funding and rallying a dedicated team of 100 industry professionals. Our vision is to foster a safer digital landscape for small and medium businesses across the globe. To this end, we introduced our comprehensive all-in-one Secure &amp; Insure platform, and continue to grow and expand our team, our partnerships and our revenue.</p></div><p>We are seeking a talented and driven AI Engineer to join our innovative R&amp;D team. In this role, you will focus on building cutting-edge AI solutions leveraging Large Language Models (LLMs) and modern agentic workflows, as well as developing backend systems and infrastructure to support our Generative AI initiatives.<br>The ideal candidate will have a strong foundation in machine learning, deep learning, and data analysis, coupled with expertise in exploratory data analysis (EDA), model evaluation, and performance optimization.</p> <p><strong>Responsibilities:</strong></p> <ul> <li>Design, develop, and deploy <strong>state-of-the-art </strong>AI solutions into production.</li> <li>Build, optimize and evaluate <strong>end-to-end AI/ML pipelines</strong> for robust, scalable systems (including tooling / agentic workflows).</li> <li>Design and implement <strong>agentic systems</strong> (e.g., multi-step / multi-agent workflows) using modern frameworks (such as LangGraph, PydanticAI and Google Agent Developer Kit (ADK), etc.).</li> <li>Continuously <strong>research the latest advancements</strong> in AI and strategically integrate them into the product development lifecycle.</li> <li>Work collaboratively within the R&amp;D team to ensure smooth integration of AI capabilities with existing and new product features.</li> </ul> <p><strong>Requirements:</strong></p> <ul> <li>5+ years of experience as a Machine Learning Engineer / Data Scientist / Software engineer or similar role, with a focus on production deployment.</li> <li><strong>1-2 years of hands-on experience</strong> working with <strong>LLMs</strong> (e.g., OpenAI GPT models, LLama, Gemini or other models).</li> <li>Experience building <strong>production-grade</strong> LLM applications (e.g., RAG systems, AI agents, copilots, or chat-based workflows).</li> <li>Solid background in software engineering, data science, or machine learning engineering.</li> <li>Proven ability to write and maintain <strong>production-level code</strong> in <strong>Python</strong>.</li> <li>Familiarity with <strong>agent AI architectures </strong>(planning, memory, tool orchestration) and standards such as MCP for tool and service integration is a strong plus.</li> <li>Strong <strong>soft skills</strong>: quick learner, proactive, self-driven, takes ownership, and thrives in fast-paced environments.</li> <li>Passion for AI, staying ahead of trends, and applying innovative solutions to real-world challenges.</li> </ul> <p><strong>Nice to have:</strong></p> <ul> <li>Cybersecurity domain knowledge.</li> <li>Experience with LLM application and <strong>agent frameworks</strong> (such as LangChain, PydanticAI, LangGraph, Google ADK, etc.) and AI orchestration platforms.</li> <li>Experience designing <strong>observability, evaluation</strong>, and monitoring for LLM agents (e.g., tracing, metrics, guardrails, offline/online evaluation).</li> </ul> <p>If you're an enthusiastic and innovative professional looking to work on impactful AI projects in a dynamic, collaborative environment, we'd love to hear from you!</p>