AI Engineer Intern

As an AI Engineer Intern, you'll be part of a dynamic team focused on developing, refining, and deploying core AI features for our proprietary AI-driven products and solutions. You'll bridge the gap between AI research and application, translating innovative concepts into tangible, impactful features. Key Responsibilities: • Collaborate with cross-functional teams to design, develop, and implement AI features, focusing on areas like natural language processing, data analysis, and predictive modeling. • Conduct research and rapid prototyping of the most suitable AI algorithms and techniques based on best practices, particularly those involving LLMs to address technical and business requirements. • Write clean, well-tested, and well-documented code, contributing to efficient and maintainable system components. • Contribute to the project's foundational knowledge by documenting the shared technical understanding and implementation details aligned with high-level business requirements and project goals. Qualifications: • Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence or a related field. • You are a team player that enjoys collaborating and communicating with diverse groups. • You enjoy tackling large challenges and enjoy discovering problems as much as solving them. • You are able to problem solve and adapt to changing priorities in a fast-paced dynamic environment. • Able to commit to a 6 months full time internship duration. • This is a full work-from-office (WFO) internship. Skills You’ll Need to Bring: • You have built or prototyped features with AI technologies (LLMs, Embeddings, Fine-Tuning). • You have experience in agentic frameworks (e.g., ADK, LangChain) for building LLM-powered applications. • You have strong technical skills in Python. • You are adept at optimizing, refactoring, and improving Python code, ensuring our systems are efficient, scalable, and maintainable Nice to Haves: • Hands-on experience with cloud platforms (GCP). • Demonstrated interest in advanced AI topics such as Reinforcement Learning (RL). • Familiarity with processing multi-modal data (audio and video). • Familiarity with Agile development methodology and collaboration tools (e.g., JIRA) for task management and sprint planning.