<h3>Position Overview </h3><p>We are seeking a highly skilled and compliance-minded AI Specialist to design, build, and deploy artificial intelligence and machine learning solutions that drive automation, operational efficiency, and intelligent decision-making across the organization. This role sits at the intersection of AI engineering, cloud infrastructure, and data security — requiring someone who can build powerful AI systems while operating within strict compliance frameworks including HIPAA and SOC 2. </p><p>The ideal candidate is a strong programmer with hands-on AI/ML development experience, deep familiarity with AWS cloud services, and a genuine understanding of what it means to build and deploy AI in regulated, security-sensitive environments. This is not a theoretical role — you will be building, integrating, and shipping. </p><h3>Key Responsibilities </h3><h3>AI &amp; Machine Learning Development </h3><ul><li>Design, develop, and deploy AI and machine learning models to solve real business problems and automate workflows </li></ul><ul><li>Build and maintain end-to-end ML pipelines from data ingestion and preprocessing through model training, evaluation, and production deployment </li></ul><ul><li>Develop natural language processing (NLP), large language model (LLM) integrations, and generative AI solutions as applicable </li></ul><ul><li>Fine-tune and optimize pre-trained models (including GPT, Claude, or open-source alternatives) for specific use cases </li></ul><ul><li>Evaluate model performance, monitor for drift, and implement improvements based on real-world feedback </li></ul><ul><li>Research and apply emerging AI techniques, frameworks, and tools to continuously improve solution quality </li></ul><h3>AI Integration &amp; Automation </h3><ul><li>Integrate AI models and APIs into existing applications, platforms, and workflows </li></ul><ul><li>Build intelligent automation solutions that reduce manual effort and improve operational throughput </li></ul><ul><li>Develop AI-powered features including chatbots, recommendation engines, document processing, and predictive analytics </li></ul><ul><li>Design and implement RAG (Retrieval-Augmented Generation) architectures for knowledge-based AI applications </li></ul><ul><li>Collaborate with product and operations teams to identify high-value AI use cases and deliver solutions </li></ul><h3>Programming &amp; Software Engineering </h3><ul><li>Write clean, well-documented, production-quality code primarily in Python, with additional languages as needed (JavaScript, SQL, Bash, etc.) </li></ul><ul><li>Build APIs, microservices, and data pipelines that support AI workloads at scale </li></ul><ul><li>Apply software engineering best practices including version control (Git), code review, testing, and CI/CD </li></ul><ul><li>Maintain and refactor existing codebases for performance, reliability, and maintainability </li></ul><ul><li>Document technical architectures, implementation decisions, and