6 month Unpaid Internship

About the Role

Mindpex is seeking technically strong, curious, and committed individuals for a 6-8 month unpaid, full-time Forward-Deployed AI Engineer Internship. This role offers real-world exposure to building an enterprise software product from inception to revenue, working at the intersection of customers, product, and engineering.

Key Responsibilities

• Work on real problems and interact directly with customers.
• Understand customer pain points and translate them into product requirements.
• Build solutions to solve identified customer problems.
• Participate in the entire product journey: customer discovery, product management, PRDs, roadmaps, architecture, development, deployment, security, pilots, and commercialization.
• Experience forward-deployed engineering, bridging customer needs with product and engineering execution.
• Contribute to building innovative, high-quality, production-grade software.

Requirements & Tech Stack

• Strong technical foundation and a serious commitment to building software.
• Full-stack engineering generalist understanding of modern software product components.
• JavaScript and TypeScript.
• React and Next.js.
• Experience building responsive web applications and Progressive Web Apps (PWAs).
• Integrating frontend applications with backend services.
• Strong working knowledge of Node.js and Python.
• Experience building backend services, business logic, and REST APIs.
• Understanding of authentication, authorization, validation, error handling, and application architecture.
• Connecting frontend, backend, and databases into a functioning application.
• Experience with Supabase (database and authentication).
• PostgreSQL and relational database fundamentals (schemas, queries, relationships, migrations, access controls).
• Understanding of when different database technologies are appropriate.
• Consuming and integrating third-party APIs (API keys, authentication, webhooks, rate limits, failures).
• Testing APIs, troubleshooting integration issues, and validating responses.
• Integrating external AI providers, billing services, and other business systems.
• Understanding of AI/ML fundamentals and practical AI application development.
• Working with LLMs, model APIs, prompts, structured outputs, and data-processing pipelines.
• Integrating AI capabilities into full-stack applications.
• Handling AI-related errors, validating model outputs, and considering cost, latency, and reliability.
• Deploying and operating applications on cloud platforms.
• Understanding frontend hosting, backend services, databases, environment variables, secrets, and networking.
• Configuring build and deployment pipelines.
• Understanding logs, monitoring, backups, scaling, and production troubleshooting.
• Secure coding practices and dependency management.
• Understanding of authentication, authorization, secrets management, and database security.
• Understanding of CI/CD, automated checks, and secure deployment practices.
• API security testing, vulnerability assessment, and penetration-testing fundamentals.
• Debugging security issues and remediation.
• Writing maintainable, modular, and production-oriented code.
• Unit testing, integration testing, and API testing.
• Diagnosing issues across frontend, backend, databases, and external services.
• Effective use of Git and GitHub, code reviews, and documenting technical decisions.
• Understanding edge cases, failure handling, and regression testing.
• Integrating billing and subscription services through APIs.
• Understanding of plans, pricing, usage-based billing, invoices, payment status, and subscription lifecycles.
• Handling billing events, webhooks, failures, and reconciliation.
• Understanding how technical implementation connects to product pricing and revenue.
• Hands-on project experience.
• Ability to understand application movement from development to a deployed, functioning product.
• Strong communication skills, honesty, dependability, comfort with open-ended problems, and ability to work well with others.
• Commitment, communication, and character are valued alongside technical ability.

Qualifications

• Talented students who are not in their final year of college.
• Experience building meaningful projects.
• Desire to apply skills in a real-world setting.
• Ability to commit full-time for the entire internship duration.

Internship Details

• Duration: 6–8 months.
• Commitment: Full-time.
• Compensation: Unpaid. No stipend.
• Expectation: Consistent communication, ownership, reliability, and genuine commitment to the agreed duration.
• Opportunity for real exposure to the journey from ideation to revenue.
• Experience building, experimenting, solving real problems, working directly with customers, and understanding the complete lifecycle of an AI-powered enterprise product.