AI intern

AI Intern

As a AI Intern at PinSec.Ai, you will:

·       Develop and maintain scalable web applications using modern frontend technologies such as React.js/Next.js, JavaScript/TypeScript, HTML5, and CSS3.

·       Build clean, responsive, and reusable frontend components with a strong focus on performance, usability, and maintainability.

·       Design and develop backend services, APIs, and internal tools using Python and JavaScript-based backend frameworks.

·       Work with databases such as PostgreSQL, Redis, MongoDB, or similar systems to build reliable and efficient data-driven applications.

·       Write clean, modular, and well-documented code following software engineering best practices.

·       Use modern AI-assisted development tools such as GitHub Copilot, Codex, Claude, ChatGPT, or similar tools to improve development speed, debugging, documentation, and code quality.

·       Collaborate with product, research, trading, and technology teams to convert business and technical requirements into working software solutions.

·       Debug, troubleshoot, and optimize frontend, backend, and system-level issues across the application stack.

·       Support API integrations, third-party services, automation workflows, and internal platform development.

·       Contribute to deployment workflows, version control, testing, documentation, and basic DevOps practices where required.

·       Explore and assist with AI-related software development initiatives such as RAG pipelines, vector databases, local LLM experimentation, model integration, and AI-powered developer/product features.

Qualifications

Our ideal candidate will have:

·       Strong understanding of software development fundamentals, data structures, algorithms, and problem-solving.

·       Hands-on experience or strong working knowledge of frontend technologies such as HTML5, CSS3, JavaScript, TypeScript, React.js, Next.js, or similar frameworks.

·       Good understanding of backend development using Python and/or JavaScript-based frameworks such as FastAPI, Django, Flask, Node.js, or Express.js.

·       Familiarity with C++ fundamentals for understanding performance-oriented systems, logic building, and low-level programming concepts.

·       Understanding of REST APIs, authentication, authorization, database design, and backend service architecture.

·       Working knowledge of databases such as PostgreSQL, MySQL, MongoDB, Redis, or similar technologies.

·       Familiarity with Git, GitLab/GitHub, Docker, Linux commands, Postman, VS Code, and common development workflows.

·       Ability to write clean, readable, maintainable, and well-documented code.

·       Familiarity with AI-assisted software development tools such as GitHub Copilot, Codex, Claude, ChatGPT, Cursor, or similar tools.

·       Strong debugging, analytical, and communication skills with the ability to work independently and in a team environment.

·       Basic understanding of deployment, CI/CD, cloud platforms, and production application workflows is preferred.

·       Exposure to AI engineering concepts such as vector databases, embeddings, RAG, LLM APIs, local LLM setup, fine-tuning, model deployment, or AI agents will be an added advantage.

·       Interest in financial markets, trading systems, data-driven platforms, or quantitative technology is preferred but not mandatory.