Generative AI Engineer

Company Description Hexaware Technologies is a global technology and business process services company with a community of over 31,600 professionals across 58 offices in 28 countries. The organization focuses on driving digital transformation for enterprises with strong scale, speed, and innovation. Hexaware emphasizes a people-first culture, fostering diversity, inclusion, and continuous learning through structured development programs. Team members are encouraged to experiment with new technologies and ideas while working toward the shared vision of becoming the world’s most loved digital transformation partner. Hexaware invites individuals who are passionate about technology’s potential to transform lives and shape a better digital future.Role Description This is a full-time, on-site Generative AI Engineer role based in Reston, VA. The Generative AI Engineer will design, develop, and optimize AI models, including large language models and other generative architectures, to solve complex business problems. Responsibilities include building end-to-end AI solutions, from data ingestion and preprocessing through model training, evaluation, and deployment into production environments. The role involves collaborating with product, data, and engineering teams to define requirements, create prototypes, and integrate AI capabilities into customer-facing applications and internal platforms. The engineer will also monitor model performance, implement improvements, ensure responsible AI practices, and document technical designs and best practices. Staying current with advances in generative AI, experimenting with new tools and frameworks, and contributing to internal knowledge sharing are important aspects of the day-to-day work.Qualifications Strong foundation in computer science, including data structures, algorithms, and software engineering principles; proficiency in programming languages such as Python and experience with modern development tools and version control.Hands-on experience with machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch), including model development, training, evaluation, and optimization for production use.Expertise in generative AI and large language models, including prompt engineering, fine-tuning, retrieval-augmented generation, and working with APIs or open-source model stacks.Knowledge of data engineering and MLOps practices, such as data pipelines, model deployment, containerization, monitoring, and CI/CD workflows for AI systems.Understanding of cloud platforms (e.g., AWS, Azure, or GCP) and related AI/ML services to build scalable and secure solutions.Awareness of responsible AI, including security, privacy, bias mitigation, and governance for AI systems in enterprise environments.Strong problem-solving and analytical skills, with the ability to translate business requirements into technical solutions and communicate clearly with technical and non-technical stakeholders.Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field,