Lead AI Engineer

Lead AI Engineer | Sovereign Tax Intelligence PlatformQuantumFy Group | Dubai/UAE (hybrid) | Full-timeCompany Description QuantumFy Group builds agentic AI platforms for regulated and critical-infrastructure environments: banking, energy, healthcare, and large institutional operations gas/oil. Our platforms connect existing systems rather than replacing them, consolidate fragmented data into governed foundations, resolve entities into living graphs, detect patterns isolated systems cannot see, and convert approved recommendations into owned, auditable activity. Material decisions remain human-approved at all times. We are scaling our engineering leadership for our most advanced platform work.The role. You own the technical delivery of the platform end to end. You will design and lead the build of the data foundation and integration layer across legacy government systems; the entity resolution and graph analytics capability; ML risk-scoring models with drift monitoring and outcome feedback loops; LLM and RAG components for case intelligence, with guardrails fit for a national authority; and the orchestration and audit layer that makes every recommendation traceable. You lead a senior squad, set the engineering standards, and represent the technical solution in front of a demanding institutional client alongside our leadership.What you bring. 8+ years of production engineering with deep Python; distributed data platforms (Spark, Kafka or equivalents); graph databases and entity-resolution at scale; applied ML in production (risk scoring, anomaly detection) and modern LLM/RAG architecture; Kubernetes and hybrid cloud/on-premise deployment, including sovereign or air-gapped environments; a security and privacy mindset fluent in GDPR and the EU AI Act; and the seniority to lead engineers and stand in front of a government steering committee. Experience in tax, financial crime, fraud, or other regulated-data domains is a strong advantage. English fluent; Hungarian a plus.What we offer. Top-tier compensation, a leadership seat on a program of genuine national significance, a modular vendor-independent architecture you will shape from the first line, and a company of 100+ engineers across eight countries delivering for central banks, energy majors, sovereign programs, and healthcare systems.Apply at quantumfygroup.com or contact Margit Gulyas directly on LinkedIn, mg@quantumfygroup.comQualificationsStrong foundation in Computer Science, with expertise in Software Development and designing scalable, secure, and maintainable systems.Advanced skills in Neural Networks and Pattern Recognition, including experience building and deploying deep learning models in production.Hands-on experience with Natural Language Processing (NLP), particularly in developing explainable, auditable models for regulated environments.Proficiency in modern programming languages and frameworks commonly used for AI engineering (e.g., Python, Java/Scala, PyTorch, TensorFlow, and distributed computing frameworks).Experience with MLOps practices, including CI/CD for ML, containerization (Docker, Kubernetes), model monitoring, and lifecycle management.Background in designing AI systems that comply with regulatory and security requirements; familiarity with standards relevant to financial services, energy, healthcare, or government is an advantage.Demonstrated ability to lead cross-functional technical teams, mentor engineers, and