Artificial Intelligence Intern

Predica Inc is seeking a highly motivated AI Product Engineering Intern to help design and develop an AI-powered platform. The intern will work on a real product, focusing on creating intelligent user onboarding, personalized recommendations, and automated workflows using modern coding agents and AI technologies.

Responsibilities:

• 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
• 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
• 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
• 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