Lead AI Engineer (LLM, Vision & Multimodal AI)

About the RoleWe are seeking a Lead AI Engineer to spearhead the development of large-scale AI systems and define the next generation of intelligent, human-centered products.In this role, you will take ownership of designing, training, and deploying cutting-edge Large Language Models (LLMs), Vision-Language Models (VLMs), and Generative AI solutions that create measurable business and user impact.Depending on your expertise, you will lead initiatives in one of the following areas:Track 1 – Vision & Multimodal AIDesign, train, and evaluate Vision-Language Models (VLMs) optimized for practical, high-impact use cases.Build robust and scalable data and model pipelines, ensuring reproducibility and strong benchmark performance.Lead the research and deployment of visual understanding systems such as face liveness detection and anti-spoofing.Mentor engineers and foster a culture of technical excellence, innovation, and autonomy within the AI team.Track 2 – Generative AI & LLM SystemsArchitect and deliver end-to-end generative AI solutions leveraging state-of-the-art foundation models (e.g., GPT, Claude, Llama, Mistral).Build and scale production-grade AI applications — including conversational agents, generative content systems, and intelligent automation platforms.Develop and optimize LLM fine-tuning pipelines, prompt engineering workflows, retrieval-augmented generation (RAG), and alignment techniques.Collaborate closely with cross-functional teams — including ML engineers, data scientists, and product leaders — to integrate AI seamlessly into products.Establish and maintain MLOps best practices for AI lifecycle management: model versioning, deployment, monitoring, and continuous improvement.Provide strategic and technical leadership in emerging generative AI frameworks and methodologies.Continuously evaluate and experiment with new research, architectures, and open-source models to sustain innovation and efficiency.Excercise responsible AI practices, ensuring fairness, privacy, transparency, and safety in all systems.