Senior GenAI Engineer Remote 9 Months Looking for a Senior GenAI Engineer to join the Agile team. This person play a key role in designing, developing, and supporting cutting-edge Generative AI solutions. This is an exciting opportunity to grow expertise in a rapidly evolving field, contribute to innovative projects, and collaborate with a dynamic team. This person will be instrumental in shaping our technical direction, mentoring junior engineers, and driving innovation across complex projects This position requires working with many cross functional teams and applications.This person needs to be a self-starter, ready to dig in and own projects, collaborate cross-functionally, and deliver quality results. Responsibilities • Collaborate with Agile teams to design, develop, test, implement, and support full-stack technical solutions. • Demonstrate enthusiasm for new technologies, continuously learning and experimenting with emerging tech trends. • Participate in internal and external technology communities, sharing knowledge and contributing to collective growth. • Work closely with business analysts to understand customer needs and use cases, contributing to the design and development of Proofs of Concept (POCs). • Build and maintain strong relationships with teammates and stakeholders to foster effective communication and collaboration. • Review and provide feedback on requirements documentation for custom solutions, ensuring clarity and adherence to standards. • Analyze requirements in depth, ensuring solutions are compatible and align with established best practices. • Contribute to the monitoring, troubleshooting, and support of existing functionalities, promptly addressing issues. • Assist in the creation and maintenance of technical project documentation, detailing system design and implementation. Required Skills & Experience 5 years of hands-on software development and design experience. 2-3 years of experience in one or more of the following areas: Deep Learning, LLMs, NLP, Speech, Conversational AI, or AI Infrastructure. Proficiency in at least one programming language such as Python , Java, Go, Rust, or C/C++. Practical experience with at least one Large Language Model (LLM) like Llama, GPT, Claude, or Falcon. Experience with at least one deep learning framework, such as PyTorch or JAX. Familiarity with building cloud solutions, preferably on AWS. Ability to present technical information clearly to diverse audiences. Strong willingness to learn and master new technologies and concepts. Good verbal and written communication skills for technical documentation