Gen AI Engineer

We require a Gen AI Engineer AI in commercial Banking, you are required to fulfill the requirements of this contract over a 6 month period The contract worker will carry out the below responsibilities • Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for enterprise use cases. • Build and fine-tune LLM-based applications (chatbots, summarization, document Q&A, report generation, code assistants, etc.). • Apply prompt engineering, RAG (Retrieval-Augmented Generation), and context-aware pipelines to ensure accuracy and relevance. • Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js backends. Collaborate with architects to define scalable and secure AI service architectures. Experience in the following • Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). • Manage model evaluation, drift monitoring, and continuous improvement processes. • Optimize inference performance and cost (e.g., model compression, quantization, API optimization). • Ensure compliance with AI ethics, security, and governance standards. • Prepare and curate training datasets (structured/unstructured text, images, code). • Apply data preprocessing, tokenization, and embedding generation techniques. • Work with vector databases (Pinecone, Weaviate, FAISS, Chroma) for semantic retrieval use cases. • Partner with business stakeholders to identify and shape AI use cases. • Contribute to the creation of a strategic AI adoption roadmap and reusable AI Workbench / platform components. • Support POCs, pilots, and full-scale implementations with agile delivery. Document and present solution designs, technical findings, and results to leadership and clients.