GenAI/AI Engineer

Key Responsibilities:

• Design and develop end-to-end Generative AI applications using LLMs, prompt engineering, embeddings, and transformer-based architectures.
• Build RAG-based applications for information retrieval, document processing, semantic search, and intelligent content generation.
• Develop Agentic AI workflows using LangChain and LangGraph, including AI agents, tool calling, API integrations, multi-step reasoning, and workflow orchestration.
• Use Python to develop scalable AI/ML applications, data processing pipelines, model integrations, and backend components.
• Apply strong Data Science and Machine Learning concepts, including statistical modelling, predictive analytics, NLP, forecasting, recommendation systems, and model optimization.
• Work with LLMs, Hugging Face Transformers, Azure OpenAI, and other AI frameworks to build and optimize production-ready AI solutions.
• Implement model evaluation, experimentation, performance monitoring, and MLOps practices to improve AI application accuracy, reliability, and scalability.
• Develop conversational AI, personalization, and intelligent decision-support solutions using structured and unstructured data.
• Deploy and integrate AI solutions using cloud platforms such as Azure or AWS, along with tools such as Docker and MLflow.
• Collaborate with business stakeholders and cross-functional teams to understand requirements, design AI solutions, and deliver end-to-end AI products.

Required Skills:

• Experience with SLM Models, Deep learning architecture and transformers and fine tuning
• Strong hands-on experience in Python programming.
• Strong expertise in Generative AI, LLMs, and Agentic AI.
• Practical experience with LangChain and LangGraph.
• Experience building RAG pipelines, embeddings, vector search, and prompt engineering solutions.
• Strong foundation in Data Science, Machine Learning, Deep Learning, and NLP.
• Experience with LLM integration, AI agents, tool calling, and workflow orchestration.
• Knowledge of model evaluation, deployment, and MLOps.
• Experience with Azure OpenAI, Hugging Face, or similar AI platforms is preferred.
• Good understanding of data analysis, statistical modelling, and predictive analytics.