A.I. Engineer - 17197

Position Title AI Engineer (Machine Learning / LLMs / Agentic AI) Location: Merrifield, VA (Hybrid or Remote for Highly Qualified Candidates) (Remote in AK, CA, NJ, or PA) Position Status Contract w2 Pay Rate $100/hr on w2 Position Description We are seeking an experienced AI Engineer with deep expertise in Machine Learning, Large Language Models (LLMs), Agentic AI, Deep Learning, and Neural Networks to support innovative cybersecurity and emerging technology initiatives. This is an exciting opportunity to build next-generation AI solutions while working alongside data scientists, machine learning engineers, and software developers on cutting-edge projects. The ideal candidate has a strong computer science foundation, hands-on experience developing production-ready machine learning models using TensorFlow and PyTorch, and a passion for researching and implementing emerging AI technologies. Key Responsibilities • Design, develop, train, validate, deploy, and optimize machine learning and deep learning models. • Build scalable neural network solutions using TensorFlow and PyTorch. • Research, develop, fine-tune, and implement Large Language Models (LLMs) and Agentic AI frameworks. • Analyze large-scale structured and unstructured datasets to identify trends, patterns, and actionable insights. • Design AI-powered solutions for cybersecurity, automation, and emerging technology initiatives. • Review AI system architectures and data flows to identify security vulnerabilities and operational risks. • Conduct AI risk assessments throughout the entire AI lifecycle, including data security, model development, deployment, monitoring, and governance. • Collaborate with cross-functional teams including Data Engineers, Data Scientists, Machine Learning Engineers, Software Engineers, and Visualization teams. • Develop AI and data science solutions utilizing cloud infrastructure and modern ML platforms. • Optimize models for scalability, inference performance, and production deployment. • Evaluate emerging AI technologies and recommend innovative approaches to improve business capabilities. • Support ongoing model monitoring, maintenance, and continuous improvement. Required Skills & Education • Master's degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, Physics, or a related technical discipline. • Strong experience developing machine learning and deep learning models from design through production deployment. • Hands-on experience with TensorFlow and/or PyTorch. • Experience with Large Language Models (LLMs), Generative AI, and Prompt Engineering. • Experience working with Agentic AI frameworks or willingness to quickly develop expertise. • Strong understanding of: • Machine Learning • Deep Learning • Statistical Modeling • Neural Networks • Model Validation and Monitoring • Experience with cloud computing platforms and distributed AI workloads. • Experience with Natural Language Processing (NLP), Natural Language Understanding (NLU), and Generative AI. • Experience with Computer Vision, Image Processing, or Video Analytics. • Excellent analytical, problem-solving, and communication skills. • Ability to work independently while collaborating effectively across multidisciplinary teams. Preferred Qualifications • Experience performing AI Security and AI Safety assessments. • Knowledge of responsible AI governance and AI risk management. • Experience reviewing AI architectures and evaluating data security risks. • Experience deploying AI solutions in cybersecurity environments. • GPU optimization experience using C++, CUDA, or similar technologies. • Experience with MLOps, CI/CD pipelines, model automation, and production deployment. • Experience with reinforcement learning techniques. • Experience with speech recognition technologies. • Experience with Microsoft Azure AI and cloud services. • Familiarity with AI model monitoring, governance, and lifecycle management. Technical Keywords Machine Learning • Artificial Intelligence • Deep Learning • Neural Networks • TensorFlow • PyTorch • Large Language Models (LLMs) • Generative AI • Agentic AI • NLP • NLU • Computer Vision • Image Processing • Video Analytics • MLOps • Azure • Cloud Computing • CUDA • GPU Optimization • Reinforcement Learning • AI Security • AI Safety • Data Science • Model Deployment • Python • Statistical Modeling • AI Risk Assessment • Cybersecurity Why Join This Opportunity? • Work on cutting-edge AI and cybersecurity initiatives. • Collaborate with highly skilled AI researchers, engineers, and data scientists. • Develop innovative solutions using the latest advancements in Generative AI and Agentic AI. • Competitive hourly compensation. • Flexible hybrid/remote work options for qualified candidates. • Opportunity to influence enterprise AI strategy and emerging technologies. About Seneca Resources At Seneca Resources, we are more than just a staffing and consulting firm—we are a trusted career partner. With offices across the U.S. and clients ranging from Fortune 500 companies to government organizations, we provide opportunities that help professionals grow their careers while making an impact. When you work with Seneca, you're choosing a company that invests in your success, celebrates your achievements, and connects you to meaningful work with leading organizations nationwide. We take the time to understand your goals and match you with roles that align with your skills and career path. Our Consultants And Contractors Enjoy • Competitive compensation • Comprehensive medical, dental, and vision insurance • 401(k) retirement savings plan • Dedicated recruiter and consultant support throughout your engagement • Opportunities to work with leading organizations on impactful projects Seneca Resources is proud to be an Equal Opportunity Employer committed to fostering a diverse and inclusive workplace. We encourage all qualified applicants to apply regardless of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic.