Generative AI Engineer

This role will support the design and implementation of Generative AI solutions used to automate complex operational processes and customer requests. The position will focus on building hands-on AI and intelligent automation solutions using Python, LangGraph, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agent-based architectures. Develop AI agents that identify customer intent, collect information across applications, validate data, interact with APIs and automated workflows, and execute operational processes. Design and implement LLM-powered applications and agentic workflows that replace or streamline manual operational activities. Build document extraction and Intelligent Document Processing (IDP) solutions using Python and AI frameworks. Implement document processing capabilities involving OCR, PDF parsing, structured and unstructured data extraction, confidence scoring, rule-based validation, semantic matching, and fuzzy comparison. Develop and implement RAG solutions for retrieving, processing, and utilizing enterprise information within Generative AI applications. Build AI agents and orchestration workflows using Python, LangGraph, LangChain, Google ADK, and related agent-based frameworks. Integrate AI solutions with REST APIs, enterprise applications, bots, and supporting services. Develop solutions that validate customer and operational information, execute automated processing steps, and support downstream workflows. Work within a highly containerized, cloud-driven Generative AI environment. Utilize technologies including Python, LangGraph, RAG, MongoDB, Kafka, REST APIs, and Java-based services. Participate in technical design decisions involving model selection, architecture, workflow design, document processing, and AI implementation approaches. Clearly communicate technical decisions and explain the reasoning behind selected models, frameworks, and implementation approaches. Work within an environment with strong expectations around AI governance, reliability, and production-ready implementation. This position requires hybrid onsite work in Charlotte, NC three days per week. Required Qualifications 3+ years of experience developing Artificial Intelligence (AI), Machine Learning (ML), Generative AI, or Intelligent Automation solutions. 3+ years of hands-on Python development experience within AI/ML or Generative AI applications. Hands-on experience with AI development frameworks and agent-based architectures, including LangGraph and LangChain. Strong hands-on experience designing and implementing Retrieval-Augmented Generation (RAG) solutions. Experience building and deploying LLM-powered applications and AI agents. Experience implementing Document AI or Intelligent Document Processing (IDP) solutions. Hands-on experience with document extraction and processing using Python and AI frameworks. Experience with OCR, PDF parsing, data extraction, confidence scoring, rule-based validation, semantic matching, and/or fuzzy comparison. Experience integrating AI solutions with REST APIs and enterprise applications. Experience designing workflow automation or intelligent automation solutions. Ability to demonstrate practical implementation experience with Generative AI solutions rather than solely theoretical knowledge. Ability to discuss specific AI projects personally designed or implemented, including technical architecture and individual contributions. Strong understanding of model selection and the ability to explain why specific models, frameworks, or technical approaches were selected. Experience working with cloud-based and containerized application environments. Experience with MongoDB and Kafka is preferred. Experience with Google ADK or similar agent development frameworks is preferred. Experience integrating with Java-based services is a plus. Strong analytical and problem-solving abilities. Strong written and verbal communication skills. Ability to work effectively in a fast-paced environment with high expectations around AI governance and solution quality. Financial services experience is not required; candidates from other industries with comparable hands-on Generative AI and automation experience will be considered.

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