Generative AI Engineer Intern(GenAI/DevOps/FullStack)

Akiyam Solutions is an innovative company specializing in advanced game development, AR/VR/MR/XR simulations, GIS solutions, robotics simulations, and AI-powered experiences. With a mission to create immersive and accessible digital worlds, the company serves both entertainment markets and professional sectors, including defense, aviation, and industrial training. By integrating technologies such as machine learning, generative AI, and neural networks, Akiyam delivers intelligent and adaptive solutions. In addition to gaming, the company is pioneering advancements in procedural content generation, NPC behavior systems, and real-time analytics in simulations. Akiyam Solutions strives to be a global leader in interactive entertainment and AI-driven simulation technology.

We are seeking a Generative AI Engineer Intern (GenAI/DevOps/FullStack) for a remote internship role. In this position, you will work on designing and deploying generative AI models and tools, contribute to full-stack development, and assist in building and maintaining DevOps pipelines for various projects. You will collaborate across teams to integrate machine learning algorithms, optimize codebases, and ensure application reliability and scalability. This internship offers a unique opportunity to gain hands-on experience with cutting-edge technologies in AI and software development.

• Proficiency in Python, JavaScript, and frameworks such as TensorFlow or PyTorch (for generative AI development).
• Experience with Full-Stack Development using frameworks like Node.js, React, or Angular and database management systems.
• Understanding and hands-on experience with DevOps technologies such as Docker, Kubernetes, CI/CD pipelines, and cloud platforms like AWS or Azure.
• Strong problem-solving skills and the ability to debug and optimize software effectively.
• Knowledge of machine learning concepts, neural networks, and AI-related tools.
• Familiarity with AR/VR/XR technologies is a significant plus.
• Excellent written and verbal communication skills with a collaborative mindset.
• Currently pursuing or recently graduated with a degree in Computer Science, Engineering, or related fields.