Shawne Applebee Com

About Us: We are a rapidly growing company building innovative solutions, consisting of robust web applications, mobile apps or a combination of both, to deliver seamless and engaging experiences to our user community. We are looking for a highly skilled and motivated Full Stack Mobile & Web Developer to join our dynamic team and contribute to the evolution of our solutions. The Role: We are seeking a highly skilled AI Solutions Expert to lead the design, development, and deployment of domain-specific AI models and solutions . The ideal candidate will combine strong technical expertise in AI with deep knowledge of Domain-Specific Language Models (DSLMs) , Retrieval-Augmented Generation (RAG) , and Agentic AI orchestration layers , ensuring the creation of reliable, adaptive, and production-ready intelligent systems tailored to specific industries. Key Responsibilities Research, design, and develop advanced domain-specific AI/ML models , including domain-tuned language models and knowledge-grounded solutions. Apply RAG architectures to enhance large language models with external knowledge retrieval for contextual accuracy and scalability. Build Agentic AI layers that can reason, plan, and act effectively within specific workflows and domains. Collaborate with domain experts and stakeholders to capture requirements and co-design AI-driven workflows. Prototype, test, and deploy DSLM-based applications that integrate business data, ontologies, and knowledge graphs. Optimize models for performance, interpretability, data efficiency, and compliance with domain standards. Guide MLOps integration, monitoring, and lifecycle management of deployed AI agents and models. Stay current on relevant AI advancements, particularly in domain adaptation, RAG pipelines, and agent orchestration frameworks . Qualifications Masters or Ph.D. in Computer Science, AI, Machine Learning, Data Science, or related field . Proven experience building and fine-tuning Domain-Specific Language Models (DSLMs) . Hands-on expertise with RAG architectures , including vector databases, knowledge augmentation techniques, and transformer-based integration. Experience with Agentic AI frameworks (e.g., LangChain, Semantic Kernel, AutoGen, Haystack, or similar orchestration layers) for building adaptive AI agents. Strong programming skills in Python and familiarity with modern AI frameworks (PyTorch, TensorFlow, Hugging Face, LangChain). Experience deploying AI pipelines in cloud and hybrid environments with MLOps practices. Deep understanding of domain-specific datasets, taxonomies, and knowledge modeling . Knowledge of AI governance, ethical AI , explainability, and regulatory considerations in applied fields. Preferred Experience Applied AI expertise in one or more key verticals: healthcare, finance, cybersecurity, manufacturing, or retail. Hands-on project experience combining DSLMs + RAG + Agentic AI layers for enterprise-grade solutions. Familiarity with multi-agent systems, tool integrations (APIs, databases), and autonomous orchestration within business processes. What We Offer The opportunity to design and deploy next-generation AI systems that go beyond general-purpose models to deliver high-value, domain-specific intelligence. Exposure to cutting-edge projects at the intersection of generative AI, RAG, and agent-based architectures . Competitive compensation, flexible hybrid work environment, and a chance to become a thought leader in domain-focused AI innovation. Competitive salary and comprehensive benefits package. The opportunity to directly shape and innovate our next-generation marketplace solutions. A collaborative, supportive, and dynamic work environment. Significant professional growth and development opportunities. Flexible work arrangements.