Conversational AI Engineer
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About the Role
I am working with a client who are a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems.
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Overview
I am working with a client who are a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems.
Based in the UAE, we partner with organizations across diverse sectors-with a deep-rooted expertise in Financial Services and Banking-to bridge the gap between complex data and actionable business strategy.
The Artificial Intelligence (AI) Engineer is a specialist role focused on the engineering, deployment, and scaling of advanced AI systems to drive the Bank s digital and operational transformation.
This position is responsible for building the robust technical foundations required for enterprise-grade applications, including Conversational AI agents, operations automation, and Generative AI initiatives.
By developing high-performance pipelines and reusable components, you will ensure that AI products are reliable, compliant, and capable of delivering next-generation experiences for both customers and employees.
Responsibilities
Building and scaling next-generation Conversational AI platforms (voice and chat) using LLM-based agents and multi-agent orchestration frameworks.
Developing automation agents for critical banking functions such as KYC, compliance, risk monitoring, and customer service.
Implementing Retrieval-Augmented Generation (RAG) pipelines utilizing vector databases and knowledge graphs to power enterprise search.
Model Optimization: Design and refine prompts to optimize LLM performance and apply advanced parameter-efficient fine-tuning techniques.
Operationalizing embedding models and custom ML solutions by building APIs, SDKs, and CI/CD pipelines with automated retraining and drift management.
Establishing engineering standards for model fairness, security, explainability, and disaster recovery to ensure operational resilience.
Acting as an analytics translator, identifying opportunities for leveraging data to solve complex business problems across functional teams.<
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