GenAI Engineer

Key Required Skills Machine Learning, Deep Learning, Neural Networks, Python, Natural Language Processing, Prompt Engineering, and Data Management and Preprocessing. Position Description • 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. Detailed Skills Requirements FOUNDATION FOR SUCCESS (Basic Qualifications) • Bachelor's Degree in Computer Science, Mathematics, Engineering or a related field. • Masters or Doctorate degree may substitute for required experience • Minimum 12 years of overall experience in an IT related field (development background preferred) • Minimum 5 years of hands-on experience designing, developing, and implementing AI models (Generative AI experience preferred) • Must be able to obtain and maintain a Public Trust. Contract requirement. • • • Selected candidate must be willing to work on-site in Woodlawn, MD 5 days a week. FACTORS TO HELP YOU SHINE (Required Skills) These skills will help you succeed in this position: • 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. HOW TO STAND OUT FROM THE CROWD (Desired Skills) Showcase your knowledge of modern development through the following experience or skills: • 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 Education • Bachelor's Degree in Computer Science, Mathematics, Engineering or a related field. • Masters or Doctorate degree may substitute for required experience • Minimum 12 years of overall experience in an IT related field (development background preferred) • Minimum 5 years of hands-on experience designing, developing, and implementing AI models (Generative AI experience preferred) • Must be able to obtain and maintain a Public Trust. Contract requirement.