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AI Software Engineer

Sucrée

Salary not specified
Oct 30, 2025
TN, United States of America
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UDT's Research and Development team is seeking an AI Software Engineer to design, develop, and deploy next-generation intelligent agents and AI-driven systems to augment human capabilities, automate knowledge work, and interact seamlessly across digital ecosystems.

Requirements

  • Strong proficiency in Python and experience with ML/AI libraries such as PyTorch, TensorFlow, or Hugging Face.
  • Proven experience developing AI agents or LLM-based applications, including reasoning chains, RAG systems, and tool integrations.
  • Solid understanding of machine learning model lifecycles, from training and evaluation to deployment and monitoring (MLOps).
  • Experience in API and microservice development (FastAPI, Flask, or Node.js).
  • Familiarity with vector databases (e.g., ChromaDB, Weaviate, Pinecone) for memory or context retrieval.
  • Strong grounding in data structures, algorithms, and distributed computing principles.
  • Experience with multi-agent coordination and autonomous workflow execution using frameworks such as LangGraph, AutoGen, or CrewAI.

Responsibilities

  • Design, implement, and optimize AI agents capable of reasoning, planning, and interacting across multiple environments or APIs.
  • Develop and orchestrate agent frameworks using tools like LangChain, LangGraph, AutoGen, or CrewAI, ensuring modularity, adaptability, and robustness.
  • Integrate 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.
  • Build communication protocols for Agent-to-Agent (A2A) and Agent-to-System (A2S) interactions, enabling collaborative and distributed intelligence.
  • Engineer backend APIs and microservices to support dynamic agent orchestration, data retrieval, and model inference.
  • Research and prototype new agent architectures, including reasoning loops, memory management, and reinforcement learning for adaptive behavior.
  • Deploy and monitor agents in cloud or edge environments using Docker, Kubernetes, or serverless frameworks, with a focus on performance and reliability.

Other

  • Must be located near: Miramar, Florida, Orlando, Florida, Austin, Texas, Nashville, Tennessee.
  • Applicants must reside in one of the states listed above. Unfortunately, we cannot consider candidates located in any other state.
  • Strong analytical and problem-solving mindset with an experimental and research-oriented attitude.
  • Excellent communication skills to articulate complex technical concepts clearly.
  • Self-driven and comfortable operating in a fast-paced, innovation-driven R&D environment