Senior AI Engineer

Bramwith Consulting; Dubai; On-site; AED 223,000 - 279,000; Full time

Job summary

Bramwith Consulting in Dubai is seeking a Senior AI Engineer for a fast-growing FinTech software house. This hands-on role focuses on tactical execution of the AI strategy, building AI/ML use cases on LLMs, NLP, and Gen AI, and delivering enterprise-grade AI features.

You will design and implement AI-powered experiences for a SaaS platform, optimize prompts and orchestration, and build scalable services with guardrails for privacy and security.

Qualifications

• 5+ years of software engineering, machine learning engineering, and/or applied AI experience.
• Master's degree 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.

Responsibilities

• Lead design and implementation of AI-powered conversational experiences for a SaaS platform.
• Define roadmap for transforming legacy workflows into chat-based, assistant-driven experiences.
• Build and optimize LLM applications using prompting, RAG, tool use, and multi-step reasoning.
• Develop evaluation frameworks for quality, latency, accuracy, and safety.

Skills

Python

SQL

TypeScript

Go

OpenAI APIs

Anthropic

LLMs

NLP

Embeddings

Fine-tuning

LangChain

Llama Index

DSPy

FastAPI

MLflow

HuggingFace

Vector databases

Elasticsearch/OpenSearch

Azure

AKS

Docker

Redis

Postgres

GraphQL

Education

Master's degree in Computer Science/ML/AI

Tools

LangChain

Llama Index

DSPy

FastAPI

MLflow

Hugging Face

Azure

AKS

Docker

Redis

Postgres

Job description

Senior AI Engineer - Fin Tech Software House - Dubai Based

Global leading Fin Tech software house seeks an experienced Senior AI Engineer to join their Global HQ in JLT, Dubai (UAE), leading the tactical execution of the company’s AI strategy.

It is essential that you are already based in Dubai as they will not pay for relocation.

Reporting directly into their Chief Technology Officer (CTO), you’ll join a truly global business with offices and clients based across North America, Europe and Asia, providing trading software across trading, logistics and risk management. You’ll work closely with some of the most experienced software designers, developers and business analysts in the industry, providing the trading community with the most robust, user-friendly, enterprise wide software package. You’ll join a truly world class trading software business, who continue to launch new products that evolve with the changing global technological and trading landscapes, and who have made AI the cornerstone of their business.

The company is executing an AI strategy which will add new capabilities and transform the operating model in addition to delivering benefits that enhance existing and emerging AI related products and services to Customers.

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 (Gen AI), Robotic Process Automation (RPA) and Decision Making (Agentic AI).

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 [Gen AI, RPA, Agentic AI]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 Saa S 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 Type Script or GoLLM/AI: Open AI APIs, Anthropic, open-source LLMs, embeddings, fine-tuning, evaluation Frameworks: Lang Chain, Llama Index, DSPy, Fast API, MLflow, Hugging Face Data & Retrieval: Vector databases, Elasticsearch/Open Search, metadata filtering, reranking Infra: Azure, AKS, Docker, Redis, Postgres, SQLEngineering: Graph QL service integration, distributed systems, observability, testing, CI/CDResponsible AI: Guardrails, red teaming, privacy, model risk management

Salary: Flexible but ideally AED 20-25k 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.