We are hiring on behalf of our client for an AI Engineer

Join our clients AI innovation team to design and develop next-generation conversational AI systems and intelligent automation solutions that transform customer interactions and streamline banking operations.

Key Responsibilities

• Design and develop conversational AI systems and intelligent chatbots for enterprise banking applications
• Build and operationalize generative AI models aligned with business objectives and regulatory requirements
• Implement RAG systems and agentic workflows to enhance contextual relevance and task automation
• Develop and optimize prompt engineering strategies for maximum LLM performance
• Build robust, scalable ML pipelines and deploy AI solutions in production environments

Required Qualifications

Experience:

• Minimum 5 years in AI/ML roles, specialized in GenAI solutions
• Demonstrated experience in designing and developing conversational AI systems and intelligent chatbots for enterprise use cases
• Strong proficiency in building and fine-tuning generative AI models aligned with specific business objectives

Technical Skills:

• Hands-on expertise in implementing Retrieval-Augmented Generation (RAG) and agentic workflows to enhance contextual relevance and task automation
• Skilled in prompt engineering, including iterative design and testing to optimize the performance of large language models (LLMs)
• Proven ability to build robust, scalable ML pipelines using platforms such as Azure ML or AWS SageMaker
• Solid understanding of cloud-native data management, including Azure Blob Storage, Tables, Queues, and Amazon S3
• Experience deploying and operationalizing Azure Foundation Models and Azure OpenAI services within production environments
• Familiarity with containerization and DevOps practices, including Docker and CI/CD pipelines, for efficient and scalable deployment
• Advanced programming skills in Python, with a focus on developing high-quality, maintainable code for AI/ML applications