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 Required Technical & Functional Skills 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 Preferred Skills Hands‑on experience with AI/ML frameworks such as TensorFlow or PyTorch 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 #J-18808-Ljbffr