Senior AI Engineer – LLM, RAG, GenAI & Agentic AI | UAE

Location

JLT, Dubai, United Arab Emirates – On-site

• Information Technology (IT) & Software
• Science & Research
• Banking & Insurance
• Engineering & Technical

Bramwith Consulting is seeking a Senior AI Engineer to support the tactical execution of the company’s AI strategy within a Fin Tech software environment. Reporting directly to the CTO, the successful candidate will work on AI solutions across trading, logistics, and risk management software
, with a strong focus on production-grade artificial intelligence.

The role covers Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Natural Language Processing (NLP), Machine Learning, Generative AI, Robotic Process Automation (RPA), and Agentic AI
. The position combines AI/ML model development with automation, AI application engineering, evaluation, security, and operationalization.

This is a senior-level opportunity offering exposure to enterprise AI architecture, financial technology, and production GenAI systems. Professionals can further develop their careers through hands‑on experience with modern AI frameworks, cloud infrastructure, LLM platforms, AI governance, evaluation methodologies, and advanced professional development and certification opportunities.

• Lead tactical execution of the company’s AI strategy under the direction of the CTO.
• Design and develop AI-powered conversational experiences for SaaS platforms.
• Build production-grade LLM applications using prompting, RAG, tool use, and orchestration.
• Design and implement agentic AI workflows.
• Develop and optimize machine learning and AI models.
• Build evaluation frameworks covering latency, accuracy, safety, and hallucination risk.
• Establish AI guardrails supporting compliance, privacy, and security requirements.
• Architect scalable enterprise AI services with observability, failover, and access control.
• Design retrieval pipelines across structured and unstructured data sources.
• Implement AI-powered internal productivity solutions for code generation, testing, CI/CD, and content generation.
• Develop automation and Generative AI solutions for business applications.
• Support AI/ML development and operationalization in production environments.
• Work with vector databases, Elasticsearch, cloud platforms, and modern AI infrastructure.
• Collaborate with technical leadership and engineering teams to deliver scalable AI solutions.

• 5+ years of experience in software engineering, ML engineering, or applied AI engineering.
• 2+ years of experience building production LLM/Generative AI systems.
• Must currently be based in Dubai
  ; relocation is not provided.
• Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field is preferred.
• Strong programming skills in Python and SQL
  .
• Type Script or Go experience is advantageous.
• Hands‑on experience with:
  • LLMs and Generative AI
  • OpenAI APIs
  • Anthropic
  • Open-source LLMs
  • Embeddings
  • Fine‑tuning
• Experience with Lang Chain, Llama Index, DSPy, FastAPI, MLflow, and Hugging Face
  .
• Strong understanding of RAG, NLP, ML, Agentic AI, and AI orchestration
  .
• Experience with vector databases and Elasticsearch.
• Knowledge of Azure and AKS
  .
• Experience with Docker, Redis, Postgres, and GraphQL.
• Strong understanding of AI evaluation, security, privacy, compliance, and responsible AI principles.
• Strong analytical, architectural, and problem‑solving skills.

Salary: AED 20,000–25,000 per month plus package.

The position provides an opportunity to work directly with the CTO on strategic AI execution within a Fin Tech software house
, with exposure to trading, logistics, risk management, SaaS platforms, and enterprise AI systems.

The role supports significant career growth and professional development through hands‑on work with LLMs, RAG, Agentic AI, GenAI, AI evaluation, cloud architecture, and production AI engineering. Relevant AI/ML, cloud, and professional certifications can further support long‑term career progression.

Important Eligibility: Candidates must currently be based in Dubai. Relocation support is not provided.