Artificial Intelligence Engineer

Universal Software

About the Role

We are looking for a motivated, skilled, and enthusiastic AI Engineer to join our team. The ideal candidate should have an interest in Artificial Intelligence, Machine Learning, Generative AI, and developing intelligent software solutions.

Key Responsibilities

• Design, develop, and implement AI and Machine Learning solutions.
• Build and integrate AI-powered applications, chatbots, and intelligent automation systems.
• Work with Generative AI, Large Language Models (LLMs), and prompt engineering.
• Develop and integrate AI APIs into web applications and software products.
• Work with Python and relevant AI/ML frameworks and libraries.
• Prepare, clean, process, and analyze data for AI model development.
• Experiment with AI models and evaluate their accuracy, performance, and reliability.
• Explore Retrieval-Augmented Generation (RAG), embeddings, and vector databases.
• Collaborate with developers, business analysts, and other team members to implement AI features.
• Troubleshoot, test, and optimize AI applications for performance and scalability.
• Stay updated with the latest AI technologies, frameworks, and industry trends.

Requirements & Tech Stack

• Knowledge of Python programming and basic software development concepts.
• Understanding of Artificial Intelligence and Machine Learning fundamentals.
• Familiarity with libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.
• Basic understanding of Generative AI, LLMs, and prompt engineering.
• Knowledge of REST APIs and integrating third-party services.
• Problem-solving, analytical thinking, and debugging skills.
• Willingness to learn new AI technologies and work on real-world projects.
• Good communication and teamwork skills.

Qualifications

• Freshers and experienced candidates can apply.
• A degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field is preferred.
• Candidates with relevant AI/ML projects, internships, or practical experience are encouraged to apply.
• Knowledge of OpenAI APIs, LangChain, LlamaIndex, RAG pipelines, or vector databases will be an added advantage.
• A portfolio of AI projects or a GitHub profile demonstrating practical skills is a plus.