AI Software Engineer

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UDT 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.

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.

UDT’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.

The 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.

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 Lang Chain, Lang Graph, Auto Gen, 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.
• Collaborate with cross‑disciplinary teams—data scientists, researchers, and engineers—to explore and productize AI innovations.
• Document research findings, architecture designs, and experimental results to contribute to UDT’s R&D knowledge base.

Required Qualifications

• Bachelor’s degree in computer science, Artificial Intelligence, Machine Learning, or related technical field.
• Strong proficiency in Python and experience with ML/AI libraries such as PyTorch, Tensor Flow, 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 life cycles, 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., Chroma
  
  DB, Weaviate, Pinecone) for memory or context retrieval.
• Strong grounding in data structures, algorithms, and distributed computing principles.

Preferred Qualifications

• Experience with multi‑agent coordination and autonomous workflow execution using frameworks such as Lang Graph, Auto Gen, or CrewAI.
• Understanding of knowledge graphs, semantic search, and contextual memory systems.
• Familiarity with LLM deployment frameworks (vLLM, Ollama, Hugging Face Inference, or custom APIs).
• Working knowledge of containerized and cloud‑based infrastructure (Docker, Kubernetes, Azure ML, AWS, GCP).
• Exposure to reinforcement learning or self‑improving AI systems.
• Contributions to open‑source AI projects or published research in AI agent development or generative systems.

Soft Skills

• Strong analytical and problem‑solving mindset with an experimental and research‑oriented attitude.
• Excellent communication skills to articulate complex technical concepts clearly.
• Passionate about pushing the boundaries of AI, with curiosity for emerging technologies and research trends.
• Self‑driven and comfortable…