Job Summary

Develop and enhance AI-powered products integrated with Large Language Model (LLM) APIs such as Gemini, OpenAI, and similar platforms;
Build frontend components, including iframe-based interfaces, and rapidly develop functional prototypes from scratch;
Design backend architecture and develop scalable APIs;
Integrate existing systems with AI services, including Gemini API and other LLM providers;
Develop, test, and continuously improve MVPs through rapid iteration and product validation;
Collaborate with cross-functional teams to design technical solutions and maintain technical documentation;
Ensure high-quality, scalable, and maintainable software throughout the product development lifecycle.

Requirements

Technical Skills Bachelor's degree in Computer Science, Software Engineering, Information Technology, Artificial Intelligence, or a related field;
Hands-on experience in Full-Stack Development with practical knowledge of both frontend and backend technologies;
Experience developing AI-powered products and integrating Large Language Models (LLMs), such as Gemini, OpenAI, Claude, or similar AI services;
Strong understanding of Prompt Engineering and practical experience using AI tools in software development workflows;
Experience building rapid prototypes (Rapid Prototyping) and transforming ideas into functional MVPs;
Practical experience with iframe and embedding technologies;
Strong backend development experience using Python, Django, or similar technology stacks;
Experience designing, developing, and integrating REST APIs and third-party AI services;
Practical knowledge of AWS (Amazon Web Services) for cloud infrastructure, hosting, or deployment;
Experience working with Google Cloud Platform (GCP) services and integrations;
Good understanding of databases, data structures, and data processing concepts;
Experience with Git and GitHub version control systems;
Experience deploying applications in cloud environments, particularly AWS. Core Competencies Strong ownership mindset with the ability to take initiative, work independently, and deliver high-quality results;
Excellent problem-solving skills with the ability to troubleshoot and resolve technical challenges efficiently;
Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams;
Ability to quickly learn and adopt new technologies and AI frameworks;
Ability to manage multiple priorities in a fast-paced product development environment;
Strong analytical thinking and attention to detail. The following qualifications are considered an advantage: Experience building AI-based applications such as AI tutors, chatbots, AI assistants, or similar intelligent systems;
Knowledge or experience in Cybersecurity;
Familiarity with DevOps practices and infrastructure security.