6 month Unpaid Internship - Forward-Deployed AI Engineer Intern

Forward-Deployed AI Engineer Intern

**Mindpex 6–8 Months Full-Time Unpaid**

Want real-world exposure to building a product from zero to revenue?

We’re building enterprise software at Mindpex, and we’re looking for technically strong, curious and committed people who want to build innovative, high-quality, production-grade software.

You’ll work on real problems, interact with customers, understand their pain points, translate them into product requirements and build solutions that solve those problems.

You’ll experience the entire journey: customer discovery, product management, PRDs, roadmaps, architecture, development, deployment, security, pilots and commercialisation.

This isn’t your regular SDE internship. It’s an opportunity to experience forward-deployed engineering: working at the intersection of customers, product and engineering.

Here’s the deal

We’re offering this exposure in an unpaid, full-time internship lasting 6–8 months .

In return, we’re looking for people who have a strong technical foundation, are serious about building software, communicate consistently, take ownership and are committed to seeing things through.

Technical requirements: Read this carefully

We’re looking for full-stack engineering generalists who understand how the different pieces of a modern software product fit together.

1. Frontend and application development

• JavaScript and TypeScript.
• React and Next.js.
• Building responsive web applications and Progressive Web Apps (PWAs).
• Integrating frontend applications with backend services.

2. Backend engineering

• Strong working knowledge of Node.js and Python.
• Building backend services, business logic and REST APIs.
• Authentication, authorisation, validation, error handling and application architecture.
• Connecting frontend, backend and databases into a functioning application.

3. Databases and data management

• Supabase, including its database and authentication capabilities.
• PostgreSQL and relational database fundamentals.
• Database schemas, queries, relationships, migrations and access controls.
• Understanding when different database technologies are appropriate.

4. APIs and external integrations

• Consuming and integrating third-party APIs.
• Working with API keys, authentication, webhooks, rate limits and failures.
• Testing APIs, troubleshooting integration issues and validating responses.
• Integrating external AI providers, billing services and other business systems.

5. AI and machine learning

• Understanding 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 errors, validating model outputs and considering cost, latency and reliability.

6. Cloud infrastructure and deployment

• 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.

7. DevSecOps and application security

• Secure coding practices and dependency management.
• Authentication, authorisation, secrets management and database security.
• Understanding CI/CD, automated checks and secure deployment practices.
• API security testing, vulnerability assessment and penetration-testing fundamentals.
• Debugging security issues and understanding how to remediate them.

8. Testing, debugging and code quality

• Writing maintainable, modular and production-oriented code.
• Unit testing, integration testing and API testing.
• Diagnosing issues across frontend, backend, databases and external services.
• Using Git and GitHub effectively, reviewing changes and documenting technical decisions.
• Understanding edge cases, failure handling and regression testing.

9. Billing and commercial integrations

• Integrating billing and subscription services through APIs.
• Understanding 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.

You don’t need to be an expert in every cloud platform or database technology. However, you should have a strong full…