Java AI Engineer
About the positionResponsibilities• Design, develop, and fine-tune applications built around foundation models (e.g., LLMs, multimodal models) for specific business needs• Implement and experiment with generative AI techniques, including but not limited to Retrieval-Augmented Generation (RAG) and prompt engineering• Lead the implementation of intelligent autonomous agents and multi-agent systems capable of complex decision-making, task execution, and interaction with external systems• Utilize and contribute to agentic AI frameworks (e.g., LangChain, AutoGen, Semantic Kernel, Crew AI) to build robust and scalable AI agents• Develop and integrate Model Context Protocol (MCP) solutions to standardize how AI applications access and utilize external data sources, tools, and real-time information• Lead the development of full-stack applications that integrate generative AI models and agentic systems, ensuring seamless user experiences• Work with front-end technologies (e.g., React, Angular, Vue.js, JavaScript, TypeScript, HTML, CSS) and back-end frameworks (e.g., Python with Flask/Django/FastAPI, Node.js, Go)• Design and implement scalable RESTful APIs and microservices to expose AI functionalities• Deploy, manage, and optimize AI/ML workloads and full-stack applications on at least one major cloud platform (AWS, Azure, or GCP)• Implement LLMOps/MLOps and DevOps best practices for continuous integration, continuous delivery (bolthires/CD), model deployment, monitoring, and lifecycle management• Stay abreast of the latest advancements in generative AI, agentic systems, foundation models, and related fields through continuous research and experimentation• Collaborate effectively with cross-functional teams, including product managers, data scientists, researchers, and other engineers• Mentor junior engineers, share knowledge, and foster a culture of technical excellenceRequirements• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field• 5+ years of experience in software development with a strong focus on AI/ML• Proficiency in Java, including designing and building scalable backend services, integrating AI/ML pipelines into Java-based microservices, and optimizing performance for production-grade generative and agentic AI applications.• Proven experience in building and deploying Generative AI models (e.g., LLMs, diffusion models) in production environments• Demonstrated expertise in designing and implementing agentic AI systems and multi-agent architectures• Strong understanding and practical experience with the Model Context Protocol (MCP) for AI system integration• Solid experience with full-stack application development• Extensive experience with cloud platforms (AWS, Azure, or GCP) for AI/ML deployments and general application hosting• Experience with LLMOps tools and practices (e.g., Langfuse, Langsmith, etc)• Excellent problem-solving, analytical, and communication skills• Ability to work independently and collaboratively in a fast-paced, agile environment• Willingness to work in the Charlotte office 3 days/week.Benefits• We offer highly competitive benefits, including medical, dental, and vision insurance, a 401(k) plan, tuition reimbursement, and a work culture focused on innovation and creation of lasting value for our clients and employees. Apply tot his job