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.
If you are a driven and passionate individual seeking an opportunity to kickstart your career in generative AI, we encourage you to apply for this internship at Granicus.
