Generative AI Internship

Granicus is seeking talented and motivated individuals to join our team as Generative AI Interns. This internship program offers a unique opportunity to gain hands-on experience in the cutting-edge field of generative AI, working alongside our experienced professionals. Duration: 3 to 6 months Eligibility: - Full-time students currently enrolled in a degree program related to Data Science, Artificial Intelligence, Machine Learning, Computer Science, or a closely related field. - Recent graduates (within the last 6 months) with a degree in Data Science, Artificial Intelligence, Machine Learning, Computer Science, or a closely related field. Responsibilities: - Assist our team in developing and implementing generative AI applications and proof-of-concepts. - Work with large language models (LLMs), prompt engineering, and retrieval-augmented generation (RAG) and other related techniques. - Participate in the design and development of user interfaces and experiences (UI/UX) for LLM-powered applications. - Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. - Conduct research and stay up-to-date with the latest trends and advancements in the field of generative AI. Requirements: - Strong foundation in computer science, programming (Python), and data structures. - Good knowledge and understanding of generative AI tools and services, including LLMs, prompt engineering, and RAG. - Familiarity with machine learning techniques, algorithms, and frameworks. - Experience with UI/UX design and development for web or mobile applications. - Excellent analytical and problem-solving skills. - Ability to work independently and as part of a team. - Strong communication and interpersonal skills. - Passion for learning and staying up-to-date with emerging technologies. Commitment: - This internship is a full-time commitment, and interns are expected to dedicate their efforts exclusively to Granicus during the internship period. - Interns are not permitted to work on any other assignments or projects with other organizations during the internship. Additional Qualifications: - Familiarity with cloud services such as AWS, Azure, or GCP. - Experience with version control systems (e.g., Git). - Knowledge of agile development methodologies. Benefits: - Gain valuable hands-on experience in the cutting-edge field of generative AI. - Work on challenging and impactful projects. - Mentorship and guidance from experienced professionals in the field. - Opportunity to learn and grow in a dynamic and innovative environment. - Potential for full-time employment upon successful completion of the internship (subject to performance and availability). - Remote work arrangement with a company-provided system.