AI Researcher/Engineer - Small Language Model for Religious/Spiritual Vertical

We're seeking an AI researcher/engineer to build a specialized Small Language Model (SLM) focused exclusively on religious and spiritual content. Think "junior Andrej Karpathy" - someone who can make intelligent, cost-effective decisions around tech stack, training methodologies, and model optimization. What we're building: - Domain-specific SLM trained on religious texts, spiritual literature, and faith-based content - Cost-optimized training pipeline using open-source tools (not commercial LLM dependencies) - Fine-tuning framework for rapid experimentation and customer feedback integration - Evaluation metrics specific to religious/spiritual content accuracy and sensitivity What we need: Model development - Architecture selection, training pipeline setup, hyperparameter optimization Data engineering - Dataset curation, preprocessing, quality assurance for religious content Experimentation framework - A/B testing, rapid iteration, customer feedback integration Performance optimization - Model compression, efficient serving, cost management Technical strategy - Roadmap for scaling from prototype to production Ideal candidate: Strong foundation in transformer architectures, training methodologies, and fine-tuning Experience with open-source ML stack (PyTorch, Hugging Face, etc.) Hands-on experience building and deploying language models Interest in religious/spiritual domains (no specific faith required, but curiosity essential) Entrepreneurial mindset - can work independently and make pragmatic technical decisions Mission alignment: We're building tools for people who identify as "Spiritual but not Religious." You should be curious and empathetic about this mission, though no specific religious background is required.