AI Agent Engineer – OpenAI & Multi-Agent Systems; Hybrid

Job Description

Role:
Artificial Intelligence(AI) Engineer

Client: US Courts

Duration:
Full time position

Location:
Reston, VA (Hybrid - 3x/Week)

We are seeking a highly motivated AI Engineer with a strong focus on OpenAI technologies to join our growing team. The ideal candidate will have a deep understanding of AI models, multi‑agent systems, and the ability to design, develop, and implement intelligent agents capable of autonomous problem‑solving and decision‑making. Your work will contribute to creating innovative AI‑driven applications and solutions that integrate cutting‑edge advancements in artificial intelligence, including GPT models, reinforcement learning, and natural language processing.

• Design and develop AI agents leveraging OpenAI's GPT models and APIs to solve complex problems in real‑world environments.
• Collaborate with cross‑functional teams to integrate AI agents into products, services, and tools.
• Implement and fine‑tune natural language processing (NLP) capabilities for AI agents, improving their comprehension and interaction with users.
• Develop autonomous, multi‑agent systems capable of communicating, learning, and collaborating to perform tasks and achieve goals.
• Create pipelines for training, fine‑tuning, and deploying AI models on various platforms, ensuring scalability and efficiency.
• Research and integrate reinforcement learning techniques to improve agent performance and adaptability.
• Analyze, debug, and optimize AI agents for performance, robustness, and scalability.
• Stay current with the latest advancements in AI, ML, and NLP, particularly OpenAI's technology stack.
• Contribute to creating best practices and documentation for the development and deployment of AI agents.

• 3+ years of experience in AI/ML development, with a focus on AI agents, multi‑agent systems, or autonomous systems.
• Strong experience with OpenAI GPT models, APIs, and NLP technologies.
• Proficiency in Python and familiarity with AI/ML frameworks such as Tensor Flow, PyTorch, or similar.
• Hands‑on experience with reinforcement learning, deep learning, or generative models.
• Familiarity with cloud platforms (e.g., AWS, GCP) and containerization tools (e.g., Docker, Kubernetes).
• Strong problem‑solving skills and the ability to work in a fast‑paced, collaborative environment.
• Excellent written and verbal communication skills, with the ability to explain technical concepts to non‑technical stakeholders.
• Strong programming skills in languages such as Python, R, or Java.
• Experience with AI/ML frameworks and libraries such as Tensor Flow, Keras, PyTorch, or scikit‑learn.
• Strong problem‑solving skills and the ability to work on multiple projects simultaneously.
• Excellent communication and teamwork abilities.

• Experience with large‑scale model deployment in production environments.
• Knowledge of ethical AI development practices and responsible AI usage.
• Prior experience in developing conversational agents, virtual assistants, or autonomous systems.
• Understanding of multi‑agent coordination and communication protocols.
• Passion for cutting‑edge AI technologies and their applications.
• Experience working with federal clients or within the government sector is preferred.

Education

• Bachelor’s or master’s degree in computer science, Data Science, Artificial Intelligence, or a related field
• Years of experience can be considered in lieu of degree

All your information will be kept confidential according to EEO guidelines.