{"schemaVersion":"jobsearcher.job.v1","id":"7ea8aab4aac97d0ab985cba8","url":"https://jobsearcher.com/jobs/7ea8aab4aac97d0ab985cba8","canonicalUrl":"https://jobsearcher.com/jobs/7ea8aab4aac97d0ab985cba8","title":"AI Software Engineer","description":"Join to apply for the AI Software Engineer role at Sucrée\r\nUDT is a technology enabler that helps clients in major industries evaluate, architect, provide, secure, and manage technology on the go, in the rack and in the cloud. UDT provides technical, professional, cyber security and managed services.\r\nMust be located near: Miramar, Florida, Orlando, Florida, Austin, Texas, Nashville, Tennessee.\r\nApplicants must reside in one of the states listed above. Unfortunately, we cannot consider candidates located in any other state.\r\nUDT's Research and Development team is seeking a highly skilled AI Software Engineer to design, develop, and deploy next-generation intelligent agents and AI-driven systems . This role is ideal for engineers passionate about exploring the frontier of artificial intelligence — from large language model (LLM) integration and reasoning systems to multi-agent collaboration frameworks and autonomous decision-making.\r\nThe successful candidate will work on cutting-edge research and real-world applications that push the boundaries of how AI agents can augment human capabilities, automate knowledge work, and interact seamlessly across digital ecosystems.\r\nResponsibilities\r\nDesign, implement, and optimize AI agents capable of reasoning, planning, and interacting across multiple environments or APIs.\r\nDevelop and orchestrate agent frameworks using tools like LangChain, LangGraph, AutoGen, or CrewAI, ensuring modularity, adaptability, and robustness.\r\nIntegrate LLMs (e.g., OpenAI, Anthropic, or local foundation models) into applications that perform multi-step reasoning, RAG (Retrieval-Augmented Generation), and real-time context awareness.\r\nBuild communication protocols for Agent-to-Agent (A2A) and Agent-to-System (A2S) interactions, enabling collaborative and distributed intelligence.\r\nEngineer backend APIs and microservices to support dynamic agent orchestration, data retrieval, and model inference.\r\nResearch and prototype new agent architectures, including reasoning loops, memory management, and reinforcement learning for adaptive behavior.\r\nDeploy and monitor agents in cloud or edge environments using Docker, Kubernetes, or serverless frameworks, with a focus on performance and reliability.\r\nCollaborate with cross-disciplinary teams—data scientists, researchers, and engineers—to explore and productize AI innovations.\r\nDocument research findings, architecture designs, and experimental results to contribute to UDT's R&D knowledge base.\r\nRequired Qualifications\r\nBachelor's degree in computer science, Artificial Intelligence, Machine Learning, or related technical field.\r\nStrong proficiency in Python and experience with ML/AI libraries such as PyTorch, TensorFlow, or Hugging Face.\r\nProven experience developing AI agents or LLM-based applications, including reasoning chains, RAG systems, and tool integrations.\r\nSolid understanding of machine learning model lifecycles, from training and evaluation to deployment and monitoring (MLOps).\r\nExperience in API and microservice development (FastAPI, Flask, or Node.js).\r\nFamiliarity with vector databases (e.g., ChromaDB, Weaviate, Pinecone) for memory or context retrieval.\r\nStrong grounding in data structures, algorithms, and distributed computing principles.\r\nPreferred Qualifications\r\nExperience with multi-agent coordination and autonomous workflow execution using frameworks such as LangGraph, AutoGen, or CrewAI.\r\nUnderstanding of knowledge graphs, semantic search, and contextual memory systems.\r\nFamiliarity with LLM deployment frameworks (vLLM, Ollama, Hugging Face Inference, or custom APIs).\r\nWorking knowledge of containerized and cloud-based infrastructure (Docker, Kubernetes, Azure ML, AWS, GCP).\r\nExposure to reinforcement learning or self-improving AI systems.\r\nContributions to open-source AI projects or published research in AI agent development or generative systems.\r\nSoft Skills\r\nStrong analytical and problem-solving mindset with an experimental and research-oriented attitude.\r\nExcellent communication skills to articulate complex technical concepts clearly.\r\nPassionate about pushing the boundaries of AI, with curiosity for emerging technologies and research trends.\r\nSelf-driven and comfortable operating in a fast-paced, innovation-driven R&D environment\r\nWhat UDT offers you\r\nWe offer a competitive compensation package where you'll be rewarded based on your performance and recognized for the value you bring to the organization. UDT's Total Rewards package includes medical, dental, vision, life and disability coverage as of the 1 st of the month, health savings accounts, flexible savings accounts, 401(k) plan with company match, 7 annual holidays and flexible time off options.\r\nJoin us and be part of an inclusive, energizing, and collaborative environment.\r\nUDT is an Equal Opportunity Employer who is committed to workforce diversity. Qualified applicants will receive consideration without regard to age, race, color, religion, sex, sexual orientation, disability, or national origin. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.\r\nEmployment is contingent upon successful completion of background and pre-employment drug screen. UDT is not currently hiring individuals for this position who now or in the future require sponsorship for employment visa status.\r\nSeniority level\r\nEntry level\r\nEmployment type\r\nFull-time\r\nJob function\r\nEngineering and Information Technology\r\nIndustries\r\nFood and Beverage Manufacturing\r\nReferrals increase your chances of interviewing at Sucrée by 2x\r\nJ-18808-Ljbffr","company":"Sucre","rawCompany":"sucre","city":"Franklin","state":"TN","isRemote":false,"isActive":false,"createdAt":"2026-04-09T09:19:15.769Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI Software Engineer","description":"Join to apply for the AI Software Engineer role at Sucrée\r\nUDT is a technology enabler that helps clients in major industries evaluate, architect, provide, secure, and manage technology on the go, in the rack and in the cloud. UDT provides technical, professional, cyber security and managed services.\r\nMust be located near: Miramar, Florida, Orlando, Florida, Austin, Texas, Nashville, Tennessee.\r\nApplicants must reside in one of the states listed above. Unfortunately, we cannot consider candidates located in any other state.\r\nUDT's Research and Development team is seeking a highly skilled AI Software Engineer to design, develop, and deploy next-generation intelligent agents and AI-driven systems . This role is ideal for engineers passionate about exploring the frontier of artificial intelligence — from large language model (LLM) integration and reasoning systems to multi-agent collaboration frameworks and autonomous decision-making.\r\nThe successful candidate will work on cutting-edge research and real-world applications that push the boundaries of how AI agents can augment human capabilities, automate knowledge work, and interact seamlessly across digital ecosystems.\r\nResponsibilities\r\nDesign, implement, and optimize AI agents capable of reasoning, planning, and interacting across multiple environments or APIs.\r\nDevelop and orchestrate agent frameworks using tools like LangChain, LangGraph, AutoGen, or CrewAI, ensuring modularity, adaptability, and robustness.\r\nIntegrate LLMs (e.g., OpenAI, Anthropic, or local foundation models) into applications that perform multi-step reasoning, RAG (Retrieval-Augmented Generation), and real-time context awareness.\r\nBuild communication protocols for Agent-to-Agent (A2A) and Agent-to-System (A2S) interactions, enabling collaborative and distributed intelligence.\r\nEngineer backend APIs and microservices to support dynamic agent orchestration, data retrieval, and model inference.\r\nResearch and prototype new agent architectures, including reasoning loops, memory management, and reinforcement learning for adaptive behavior.\r\nDeploy and monitor agents in cloud or edge environments using Docker, Kubernetes, or serverless frameworks, with a focus on performance and reliability.\r\nCollaborate with cross-disciplinary teams—data scientists, researchers, and engineers—to explore and productize AI innovations.\r\nDocument research findings, architecture designs, and experimental results to contribute to UDT's R&D knowledge base.\r\nRequired Qualifications\r\nBachelor's degree in computer science, Artificial Intelligence, Machine Learning, or related technical field.\r\nStrong proficiency in Python and experience with ML/AI libraries such as PyTorch, TensorFlow, or Hugging Face.\r\nProven experience developing AI agents or LLM-based applications, including reasoning chains, RAG systems, and tool integrations.\r\nSolid understanding of machine learning model lifecycles, from training and evaluation to deployment and monitoring (MLOps).\r\nExperience in API and microservice development (FastAPI, Flask, or Node.js).\r\nFamiliarity with vector databases (e.g., ChromaDB, Weaviate, Pinecone) for memory or context retrieval.\r\nStrong grounding in data structures, algorithms, and distributed computing principles.\r\nPreferred Qualifications\r\nExperience with multi-agent coordination and autonomous workflow execution using frameworks such as LangGraph, AutoGen, or CrewAI.\r\nUnderstanding of knowledge graphs, semantic search, and contextual memory systems.\r\nFamiliarity with LLM deployment frameworks (vLLM, Ollama, Hugging Face Inference, or custom APIs).\r\nWorking knowledge of containerized and cloud-based infrastructure (Docker, Kubernetes, Azure ML, AWS, GCP).\r\nExposure to reinforcement learning or self-improving AI systems.\r\nContributions to open-source AI projects or published research in AI agent development or generative systems.\r\nSoft Skills\r\nStrong analytical and problem-solving mindset with an experimental and research-oriented attitude.\r\nExcellent communication skills to articulate complex technical concepts clearly.\r\nPassionate about pushing the boundaries of AI, with curiosity for emerging technologies and research trends.\r\nSelf-driven and comfortable operating in a fast-paced, innovation-driven R&D environment\r\nWhat UDT offers you\r\nWe offer a competitive compensation package where you'll be rewarded based on your performance and recognized for the value you bring to the organization. UDT's Total Rewards package includes medical, dental, vision, life and disability coverage as of the 1 st of the month, health savings accounts, flexible savings accounts, 401(k) plan with company match, 7 annual holidays and flexible time off options.\r\nJoin us and be part of an inclusive, energizing, and collaborative environment.\r\nUDT is an Equal Opportunity Employer who is committed to workforce diversity. Qualified applicants will receive consideration without regard to age, race, color, religion, sex, sexual orientation, disability, or national origin. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.\r\nEmployment is contingent upon successful completion of background and pre-employment drug screen. UDT is not currently hiring individuals for this position who now or in the future require sponsorship for employment visa status.\r\nSeniority level\r\nEntry level\r\nEmployment type\r\nFull-time\r\nJob function\r\nEngineering and Information Technology\r\nIndustries\r\nFood and Beverage Manufacturing\r\nReferrals increase your chances of interviewing at Sucrée by 2x\r\nJ-18808-Ljbffr","datePosted":"2026-04-09T09:19:15.769Z","dateModified":"2026-04-09T09:19:15.769Z","hiringOrganization":{"@type":"Organization","name":"Sucre","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Franklin","addressRegion":"TN","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"7ea8aab4aac97d0ab985cba8"},"url":"https://jobsearcher.com/jobs/7ea8aab4aac97d0ab985cba8"}}