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Artificial Intelligence AI Engineer

TechSur Solutions

📍 Reston, Virginia, US0💼 Full-time💰 100,000 – 140,000 USD/year🕐 5/21/2026
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Role overview

TechSur Solutions is hiring for the Artificial Intelligence AI Engineer role in Reston, Virginia, US. It is full-time, Mid-level level, in the Government sector. The stated pay for this position is 100,000 – 140,000 USD/year. It was posted 5/21/2026.

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Role
Artificial Intelligence AI Engineer
Company
TechSur Solutions
Location
Reston, Virginia, US
Work mode
On-site
Employment
Full-time
Seniority
Mid-level
Sector
Government
Salary
100,000 – 140,000 USD/year
Posted
5/21/2026

Description

Job Description Role: Artificial Intelligence (AI) Engineer Client US Courts Duration Full time position Location Reston, VA (Hybrid - 3x/Week) Company Overview TechSur Solutions is a digital services company whose mission is to enable digital transformation for our customers improving quality and efficiency. Based in the DC metropolitan area, TechSur specializes in advanced cloud services, modernization for both IT structures and applications, leveraging Agile development, and Data Analytics. Since we were formed in August of 2016, we have supported multiple impactful and exciting government programs. Job Description 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. Job Responsibilities • 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. Required Skills/Qualifications • 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. Preferred Experience • 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. Qualifications 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. Additional Information All your information will be kept confidential according to EEO guidelines.

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