AI Engineering Lead

You will be part of a team that is redefining how children explore and learn in a connected world. The mission is to create smart experiences for kids that encourage curiosity, critical thinking, and independence. As the Founding AI Engineering Lead, you will have a pivotal role in bringing this mission to fruition right from the beginning. Your responsibilities will include designing and architecting the AI/ML stack, setting the technical direction of the company, fine-tuning large language models (LLMs) for child-friendly interactions, training LLMs on multimodal datasets, evaluating different models for performance and scalability, prototyping conversational behaviors, implementing trustworthy AI practices, ensuring data security and privacy compliance, building ML pipelines with MLOps best practices, planning for scalability across different environments, and collaborating with business stakeholders to translate requirements into technical specifications. To excel in this role, you should have at least 5 years of experience in AI/ML/NLP, with a focus on LLMs for at least 1 year. You should also possess a proven track record of fine-tuning, training, and optimizing LLMs, a deep understanding of transformer architectures, attention mechanisms, and generative models, strong Python skills with experience in PyTorch, Hugging Face, TensorFlow, and Weights & Biases, familiarity with LLM orchestration frameworks, cloud platforms, privacy-preserving techniques, alignment techniques, MLOps tooling, and containerization, along with the ability to work independently and in a fast-paced, early-stage environment. Additionally, having experience in building conversational agents, interactive storytelling tools, or child-facing applications, familiarity with speech-to-text, voice synthesis, or multimodal learning, knowledge of retrieval-augmented generation and regulatory frameworks, will be considered as bonus points. Joining this team will give you the opportunity to define the future of child-safe AI right from the beginning, influence all aspects of the product and technical stack, collaborate with a passionate and visionary team, and have ownership and long-term impact.,