Generative AI Engineer

Primary Responsibilities

• Design, develop, and validate technical and business-focused AI/ML POCs
• Apply ML, DL, and NLP concepts to solve practical business problems
• Build, test, and maintain reusable, efficient, and scalable Python code
• Work with Generative AI models and tools to enable AI-assisted development and automation
• Implement and optimize prompt engineering strategies for Large Language Models (LLMs)
• Integrate and deploy AI models in cloud environments (AWS, Azure, or GCP)
• Collaborate with cross-functional teams to translate requirements into AI-driven solutions
• Evaluate model performance using standard ML metrics and iterate for improvement
• Support backend or enterprise system integration for AI-enabled applications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
• Relevant experience in AI/ML, Generative AI, or cloud-based application development
• Strong understanding of Machine Learning, Deep Learning, and NLP fundamentals
• Proficiency in Python with experience writing clean, testable, and maintainable code
• Ability to translate AI/ML theories into business-ready use cases
• Hands‑on experience with Generative AI tools (e.g., Microsoft Copilot)
• Understanding of AI-assisted code generation and modern development workflows
• Familiarity with cloud platforms (AWS, Azure, or GCP)
• Experience deploying or integrating AI/ML models in cloud‑based environments
• Strong analytical, troubleshooting, and problem‑solving capabilities
• Ability to decompose complex problems into practical, scalable solutions

• Hands‑on experience with AI/ML frameworks such as Tensor Flow or Py Torch
• Familiarity with Prompt Engineering and LLM APIs (OpenAI, Anthropic, etc.)
• Understanding of model evaluation metrics (precision, recall, F1-score, etc.)
• Knowledge of data preprocessing and feature engineering techniques
• Exposure to Java-based backend development or AI system integrations
• Experience working in agile or fast‑paced development environments