Senior AI Engineer – FinTech Software House – Dubai Based

Overview

JLT, Dubai (UAE),

Role Purpose

• 100% focused on the tactical execution of the company’s AI strategy specifically in the design and implementation of AI/ML use cases built on Large Language Models (LLMs/RAG) and Natural Language Processing (NLP), Machine Learning (ML), Generative AI (GenAI), Robotic Process Automation (RPA) and Decision Making (AgenticAI).
• The role will deliver a broad range of prioritized use cases for internal optimization and external product benefit, therefore candidates will need skills and experience across the key AI/ML types with an estimated split of skills as follows:
• 60% AI skills focused on AI/ML models [LLMs/NLP/ML]
• 30% AI skills to automate, assist & augment [GenAI, RPA, AgenticAI]
• 10% AI skills for developing & operationalizing AI/ML).
• This is a hands-on role for someone who can move smoothly between experimentation and production, and who has demonstrable experience in converting emerging AI/ML capabilities into measurable business outcomes.

Technical Roles And Responsibilities

• Lead the design and implementation of AI-powered conversational experiences for an existing SaaS platform.
• Define the roadmap for transforming legacy workflows into chat-based, assistant-driven, and agentic user journeys.
• Build and optimize LLM applications using prompting, RAG, tool use, workflow orchestration, and multi-step reasoning patterns.
• Develop evaluation frameworks for quality, latency, accuracy, hallucination risk, safety, and business impact.
• Architect scalable AI services for enterprise environments, including observability, failover, auditability, and access controls.
• Design retrieval pipelines using structured and unstructured enterprise data sources.
• Establish guardrails for compliance, privacy, security, and responsible AI deployment.
• Partner with product, design, data, security, and go-to-market teams to define use cases and deliver production features.
• Implement internal use cases that enhance productivity tool content generation, product code generation, product code testing, CI/CD and engineering process efficiencies.
• Stay current on advances in LLMs, agent frameworks, vector search, model serving, and AI infrastructure.

Technical Experience And Expertise

• A broad range of technology knowledge to an appropriate level of competency/qualification including but not limited to:
• Languages: Python, SQL, ideally TypeScript or Go
• LLM/AI: OpenAI APIs, Anthropic, open-source LLMs, embeddings, fine-tuning, evaluation
• Frameworks: LangChain, LlamaIndex, DSPy, FastAPI, MLflow, Hugging Face
• Data & Retrieval: Vector databases, Elasticsearch/OpenSearch, metadata filtering, reranking
• Infra: Azure, AKS, Docker, Redis, Postgres, SQL
• Engineering: GraphQL service integration, distributed systems, observability, testing, CI/CD
• Responsible AI: Guardrails, red teaming, privacy, model risk management
• Salary: Flexible but ideally AED 35-40k PCM + package

Experience Sought

• 5+ years of software engineering, machine learning engineering, and/or applied AI experience.
• Masters in Computer Science, Machine Learning, Artificial Intelligence or a related field.
• 2+ years of hands-on experience building LLM or generative AI systems in production.
• For more information, please e-mail an up-to-date copy of your CV to Ben at [email protected]