Techsur Solutions LLC-posted 8 days ago
Full-time • Mid Level
Hybrid • Reston, VA
51-100 employees

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 TensorFlow, 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 TensorFlow, 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.
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