Artificial Intelligence Intern

About the OpportunityWe are looking for a highly motivated AI Product Engineering Intern to help design and develop an AI-powered platform using modern coding agents, large language models, prompt engineering, and multi-agent workflows.The intern will work on a real product—not a classroom exercise. The platform may include intelligent user onboarding, personalized recommendations, automated workflows, document analysis, agent-based task execution, dashboards, integrations, and human review.The ideal candidate is comfortable combining traditional software-engineering fundamentals with modern AI-assisted development tools such as: • Claude Code • OpenAI Codex • ChatGPT and OpenAI APIs • Claude APIs • AI-assisted or "vibe coding" workflows • Prompt and context engineering • Multi-agent orchestration • Retrieval-Augmented Generation • Tool calling and workflow automationThis is not a prompt-only position. The intern must be able to understand, test, debug, secure, and improve the code generated by AI tools. What You Will BuildYou will help develop an AI-enabled web platform that may include: • Secure user registration and authentication • User profiles and preference management • AI-powered recommendations • Document upload and intelligent analysis • Personalized content generation • Autonomous or semi-autonomous task execution • Multi-agent workflows • Human approval checkpoints • Workflow dashboards • Notifications and progress tracking • Third-party API integrations • Administrative controls • Usage analytics and reporting • Subscription or payment capabilities • Mobile-responsive user experiences Key ResponsibilitiesAI-Assisted Product Development • Use Claude Code, OpenAI Codex, and other AI coding tools to design, build, debug, refactor, and document product features. • Convert business ideas and user stories into technical specifications and working software. • Use structured prompts, project instructions, context files, and coding standards to guide AI coding agents. • Review AI-generated code for correctness, maintainability, security, and performance. • Build rapid prototypes and convert successful prototypes into maintainable product features.Agentic and Multi-Agent Development • Design agents with clearly defined roles, goals, tools, permissions, and outputs. • Build multi-agent workflows in which specialized agents collaborate on complex tasks. • Implement agent routing, delegation, handoffs, retries, memory, and escalation to human reviewers. • Create agents for activities such as: • User-intent analysis • Document analysis • Data extraction • Recommendation generation • Research • Quality assurance • Compliance review • Content generation • Workflow execution • Final-output validation • Prevent agents from duplicating work, entering uncontrolled loops, or producing unsupported results.Prompt and Context Engineering • Write and test system prompts, agent instructions, tool descriptions, evaluation prompts, and structured-output schemas. • Develop reusable prompt templates for different product workflows. • Improve prompt reliability through examples, constraints, validation, and evaluation. • Design context-management strategies that provide agents with the right information without exceeding context limits. • Maintain prompt versions and document why changes were made.Full-Stack Development • Develop user-facing interfaces using technologies such as React, Next.js, TypeScript, JavaScript, HTML, and CSS. • Build backend APIs using Python, FastAPI, Django, Node.js, or similar technologies. • Design database tables, relationships, queries, and data-access layers. • Integrate AI models, third-party APIs, authentication services, email services, payment systems, and cloud platforms. • Implement background jobs, queues, scheduled workflows, and notifications. • Create responsive, accessible, and user-friendly product experiences.Required Qualifications • Currently pursuing or recently completed a degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Software Engineering, or a related discipline. • Working knowledge of at least one programming language, preferably: • Python • JavaScript • TypeScript • Basic experience developing web applications or APIs. • Understanding of REST APIs, JSON, databases, and client-server architecture. • Familiarity with Git, GitHub, branches, commits, and pull requests. • Experience using at least one AI coding assistant, such as Claude Code, OpenAI Codex, Cursor, GitHub Copilot, or a comparable tool. • Familiarity with large language models and prompt engineering. • Ability to read, test, debug, and explain AI-generated code. • Strong analytical and problem-solving ability. • Ability to work independently while asking for help when necessary. • Strong written communication and documentation skills. • Willingness to learn new tools quickly and build through experimentation.