Generative AI Engineer

Company Description: Mojo Trek, an Inc. 5000 company, delivers an unparalleled technology recruitment experience, grounded in transparency and integrity. From midsize technology innovators to Fortune 50 powerhouse corporations, we help our clients build technology teams that make a difference. In addition to our strong presence in the Midwest and New York, we maintain an international footprint that enhances our ability to serve clients on a global scale. We are seeking mid-level Generative AI Engineer specializes in designing, developing, and optimizing AI models, particularly those focused on generative tasks such as text, image, or multimodal content creation. This role requires strong Python programming skills, experience with machine learning frameworks, and a deep understanding of generative AI techniques. Key Responsibilities • Design, develop, and fine-tune generative AI models, including Large Language Models (LLMs) and multimodal systems. • Implement and optimize AI pipelines for training, evaluation, and deployment. • Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate AI solutions into production systems. • Conduct experiments to improve model performance, scalability, and efficiency. • Stay updated with advancements in AI technologies and apply them to ongoing projects. • Troubleshoot, debug, and maintain AI systems to ensure reliability and high performance. Required Skills and Qualifications • Proficiency in Python, with experience in libraries such as PyTorch, TensorFlow, or Keras. • Hands-on experience with transformer architectures, LLMs (e.g., GPT, LLaMA), and generative models like GANs or diffusion models. • Strong understanding of deep learning techniques, natural language processing (NLP), and multimodal AI systems. • Familiarity with tools like Hugging Face, LangChain, or LangGraph for model development and deployment. • Experience with cloud services (AWS, GCP, or Azure) for model training and deployment. • Proficiency in working with large datasets, including preprocessing, feature engineering, and data augmentation. • Strong analytical and problem-solving skills to address complex AI challenges. Preferred Qualifications • Experience with vector databases and retrieval systems. • Knowledge of reinforcement learning techniques, particularly Reinforcement Learning with Human Feedback (RLHF). • Familiarity with CI/CD pipelines and containerization tools like Docker. • Contributions to open-source AI/ML projects. Soft Skills • Strong communication and collaboration abilities to work effectively in a team environment. • Ability to translate technical concepts into actionable insights for non-technical stakeholders. • Strategic thinking and adaptability to align AI solutions with business goals. Typical Experience • 3-5 years of experience in AI/ML engineering, with at least 1-2 years focused on generative AI. • Proven track record of deploying AI models in production environments. This role offers opportunities to work on cutting-edge AI technologies, contribute to innovative projects, and grow within a dynamic team environment.