Generative AI Engineer – Python, NLP & RAG

Role Overview:

The role involves assisting in the development of Generative AI solutions using Python, Java, and cloud technologies. The candidate will apply machine learning, deep learning, NLP, and Retrieval-Augmented Generation (RAG) concepts to real business use cases while building reusable and efficient code.

Key Responsibilities:

• Assist in developing Generative AI solutions using Java, Python, and cloud technologies
• Apply machine learning, deep learning, NLP, and RAG concepts to business use cases
• Build reusable, efficient, and scalable code
• Support AI-assisted development and integration of Generative AI tools
• Leverage cloud platforms (AWS, Azure, GCP) for deployment and integration
• Solve complex problems using strong analytical thinking and practical implementation

Top 3 Required Skills:

1. Strong foundation in Machine Learning, Deep Learning, NLP, and RAG
2. Proficiency in Python with experience in Generative AI tools
3. Experience with Cloud technologies (AWS, Azure, GCP)

Top 3 Preferred Skills:

1. Hands-on experience with Generative AI tools (Microsoft Copilot, AI-assisted development, RAG)
2. Familiarity with Java
3. Strong analytical and problem-solving skills

Education Requirements:

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field (or equivalent experience)