Generative AI Engineer

Elevexa Career LLC is a leading provider of staffing, career development, and technology consulting services with headquarters in the U.S. and a global presence in India. We specialize in matching top professionals with the right opportunities while enabling businesses to grow seamlessly through customized talent solutions. Trusted by startups, SMBs, and enterprises, Elevexa offers comprehensive recruitment, personalized career advisory, and robust support for long-term success. Our mission is to align talent with opportunity through innovative and empowering solutions that transform careers and businesses.

Role Description

This is a full-time remote role for a Generative AI Engineer. The Generative AI Engineer will be responsible for the design, development, and optimization of advanced AI models, including generative algorithms and natural language processing (NLP) systems. Day-to-day tasks include data preprocessing, model training, performance tuning, experimentation, and deployment of AI models into production. The individual will collaborate with cross-functional teams to create scalable AI-driven solutions that enhance business processes and deliver practical results.

Qualifications

• Strong knowledge of machine learning and deep learning frameworks such as TensorFlow, PyTorch, or Keras
• Proficiency in programming languages such as Python and experience with AI libraries
• Experience with Generative AI models, Natural Language Processing (NLP), and transformers
• Data engineering skills including data preprocessing, cleaning, and feature engineering
• Proficiency in model evaluation, performance tuning, and hyperparameter optimization
• Strong problem-solving skills and ability to design AI solutions for real-world applications
• Collaborative mindset with excellent communication and teamwork skills
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field
• Experience with deploying AI models in production environments is a plus
• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud for AI workflows is advantageous