GenAI Engineer Baltimore, MD, ON SITE - Must be on-site five days a week in Woodlawn, MD Description of Work: • Machine Learning, Deep Learning, Neural Networks, Python, Natural Language Processing, Prompt Engineering, and Data Management and Preprocessing. • Design and develop generative models: This includes working with architectures like GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and especially transformer-based models (like those behind LLMs). • Fine-tuning and optimization: Adapting pre-trained generative models for specific tasks and datasets, optimizing their performance, efficiency, and the quality of their generated output. • Prompt engineering: Crafting and refining prompts to guide generative models to produce desired outputs, often for specific applications (e.g., content creation, code generation, design). • Build AI pipelines: Creating the infrastructure and workflows for data preparation, model training, deployment, and ongoing monitoring of generative AI systems. • Integration: Incorporating generative AI models into existing software applications and products. • Research and experimentation: Staying up to date with the latest research in generative AI and experimenting with new algorithms and techniques. • Ethical considerations: Understanding and addressing potential biases, misuse, and ethical implications of generative AI. • All other duties as assigned or directed. Basic Qualifications: Minimum knowledge, skills, abilities needed. • Bachelor’s degree in computer science, Mathematics, Engineering or a related field. • Masters or Doctorate degree may substitute for required experience • Minimum 5 years of hands-on experience designing, developing, and implementing AI models (Generative AI experience preferred) • Strong foundation in Machine Learning, Deep Learning, and neural networks (GANs, VAEs, Transformers, LLMs). • Proficiency in programming languages, especially Python, and relevant libraries (Scikit-Learn, TensorFlow, PyTorch, Keras). • Expertise in Natural Language Processing (NLP) for text and language generation. • Data management, preprocessing, and feature engineering skills. • Expertise with prompt engineering techniques for guiding AI models. • Experience with cloud-based AI platforms (AWS, Azure). • Knowledge of software development best practices, including CI/CD pipelines, version control, and testing. • Problem-solving, analytical, and critical thinking skills. • Strong communication and collaboration abilities. • Understanding of AI ethics and responsible AI development. • Must be able to obtain and maintain a US Public Trust clearance. Preferred Qualifications: Candidates with these skills will be given preferential consideration. • Prior experience with federal or state governments IT projects. • Familiarity with various LLM models available in the market • Working knowledge of Retrieval Augmented Generation (RAG) to enhance LLM responses • Experience integrating GenAI models and services into existing applications using APIs About Next Gen Software Solutions LLC: Next Gen Software Solutions is a trusted provider of IT Staffing and consulting services dedicated to empowering businesses with cutting-edge technology solutions and exceptional talent. We specialize in delivering tailored IT consulting services, innovative software solutions, and connecting businesses with highly skilled IT professionals. Founded and led by a dedicated U.S. Army solider, Next Gen Software Solutions is deeply rooted in the core values of integrity, discipline, commitment, and experience-principles that guide every aspect of our operations. Equal Employment Opportunity Statement: Next Gen Software Solutions LLC is an Equal Opportunity Employer. We are committed to fostering an inclusive and diverse workplace where all employees and applicants are treated respect and dignity. We do not discriminate based on race, colour, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, genetic information, veteran status, or any other legally protected characteristic under applicable federal, state, or local laws.