Lead AI Engineer

About the Position

Lead AI Engineer | Join with Sign-on Bonus

Lead · Hybrid · Budapest, Hungary

We are seeking a Lead AI Engineer to spearhead the design and architecture of enterprise-grade AI agentic solutions. In this role, you will drive innovation across LLMs, foundation models, and multi-agent systems while shaping production AI platforms and fostering a high-performance engineering culture. You will collaborate with cross-functional teams to deliver measurable business impact through cutting-edge AI technologies.

Responsibilities

• Lead, design, and architect enterprise-grade AI agentic solutions using LLMs, foundation models, and multi-agent systems
• Implement production AI platforms with modular pipelines, multi-source knowledge fusion, and governance frameworks
• Collaborate with product, engineering, and business teams to understand requirements and drive strategic decisions
• Architect hybrid AI systems combining agentic AI, traditional ML, symbolic reasoning, and knowledge graphs
• Perform detailed analysis of business problems and design comprehensive solutions with measurable ROI
• Establish MLOps/AIOps practices including continuous evaluation, A/B testing, model versioning, and automated retraining pipelines
• Lead code and architecture reviews, ensuring solutions meet security, compliance, and best practice standards
• Foster a high-performance AI engineering culture, mentor team members, and provide technical leadership
• Design evaluation frameworks covering technical, human-centered, temporal, and contextual metrics
• Drive innovation and stay current with emerging AI technologies and research
• Author comprehensive technical documentation, architecture decision records, and knowledge base articles

Requirements

• 5+ years of experience in AI/ML engineering with proven leadership in architecting enterprise-grade solutions
• Expertise in LLMs, foundation models, and multi-agent systems
• Proficiency in designing production AI platforms with modular pipelines and governance frameworks
• Background in hybrid AI systems combining agentic AI, traditional ML, and symbolic reasoning
• Knowledge of knowledge graphs and multi-source knowledge fusion
• Competency in MLOps/AIOps practices including A/B testing, model versioning, and automated retraining
• Capability to design evaluation frameworks covering technical, human-centered, and contextual metrics
• Understanding of business problem analysis and translating requirements into solutions with measurable ROI
• Showcase of strong cross-functional collaboration and stakeholder management
• Familiarity with security, compliance standards, and emerging AI research trends
• English proficiency at B2 level or higher

We Offer

• Dynamic, entrepreneurial corporate environment
• Diverse multicultural, multi-functional, and multilingual work environment
• Opportunities for personal and career growth in a progressive industry
• Global scope, international projects
• Widespread training and development opportunities
• Access to LinkedIn Learning solutions
• Competitive salary and various benefits
• Advanced wellbeing and CSR programs, recreation area

About the Company

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