Full-Stack AI Engineering Intern

About the Role

This is a Full-Stack AI Engineering Internship focused on applying generative AI and large language models (LLMs) to transform business operations.

Key Responsibilities

• Within 30 days:
• Complete onboarding and gain familiarity with enterprise systems and AI initiatives.
• Provide feedback on the onboarding experience.
• Build relationships across departments to understand challenges and AI opportunities.
• Gain a basic understanding of business operations and how AI can enhance productivity.
• Beyond 60 days:
• Develop prototypes and proof-of-concepts for AI-powered features to boost employee productivity and creativity.
• Contribute to the development of prompt engineering strategies for business applications.
• Participate in creating AI-driven tools for integration into existing workflow systems.
• Collaborate on AI model integration projects, ensuring seamless user experiences.
• Assist in evaluating and benchmarking AI performance against business KPIs and user satisfaction.
• Present work and findings to stakeholders, translating complex AI concepts.

Requirements & Tech Stack

• Strong interest in enterprise AI applications.
• Familiarity with popular LLMs such as ChatGPT, Claude, or others.
• Familiarity with Python, Next.JS, Docker, and full-stack technologies.
• Basic understanding of prompt engineering concepts.
• Proficiency in at least one programming language (JavaScript preferred).
• Ability to work in a fast-paced, rapidly changing environment.
• Strong problem-solving skills and meticulous attention to detail.
• Excellent communication skills, both written and verbal.
• Bonus: Understanding of business processes and enterprise software systems.

Core Values

• Embrace the unknown: A "What if?" mindset for exploring AI's revolutionary potential in business.
• Partner with purpose: Excitement to work with diverse teams using AI for positive outcomes.
• Passion for people: Understanding AI's role in augmenting human capabilities.
• Collaborate for success: Thriving in team environments, valuing collective goals, transparency, and integrity.

Personality Traits

• Openness: Ability to take on new challenges and learn.
• Conscientiousness: Ability to work independently and deliver high-quality work.
• Extraversion: Ability to communicate directly with users and present work clearly to stakeholders.
• Agreeableness: Kindness, thoughtfulness, respect for others, and willingness to help.
• Neuroticism: Ability to pivot and adapt to changing priorities and deadlines.