**HIRING**
I am working with a customer in Abu Dhabi who are looking for an Ai Engineer, on a 1-year contract, with the view to extend, or go Permanent.
This role will be onsite in Abu Dhabi and requires you to be in the office.
Job Title - Ai Engineer
Salary - AED 27,000 Per Month
Contract Length - 1 Year (Extendable)
Location - Abu Dhabi
Start Date - ASAP
The client I am working with are a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking.
This is an Artificial Intelligence Engineer position, that is a specialist role focused on the engineering, deployment, and scaling of advanced AI systems to drive the customers 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
- AI Platform Engineering: Build and scale next-generation Conversational AI platforms (voice and chat) using LLM-based agents and multi-agent orchestration frameworks.
- Automation & Operations: Develop automation agents for critical banking functions such as KYC, compliance, risk monitoring, and customer service.
- Advanced Pipeline Development: Implement 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.
- MLOps & Governance: Operationalize embedding models and custom ML solutions by building APIs, SDKs, and CI/CD pipelines with automated retraining and drift management.
- Guardrail Implementation: Establish engineering standards for model fairness, security, explainability, and disaster recovery to ensure operational resilience.
- Stakeholder Collaboration: Act as an analytics translator, identifying opportunities for leveraging data to solve complex business problems across functional teams.
Qualifications & Relevant Experience needed
- 5+ years in AI/ML engineering or large-scale digital product engineering, ideally within a major digital transformation or digital-only bank project.
- Proven experience deploying large-scale AI/ML solutions within a regulated environment (Banking or Financial Services preferred).
- Hands-on experience with MLOps tools (MLflow, CI/CD) and data visualization platforms.
Essential Capabilities
- Expert-level programming in Python specifically for ML/AI engineering and Generative AI applications.
- Deep knowledge of transformer models, multimodal architectures, and agentic AI systems (multi-agent frameworks/human-in-the-loop).
- Expertise in vector databases (Pinecone, Weaviate, Milvus), knowledge graphs, and both SQL/NoSQL systems (Postgres, MongoDB).
- Proficiency in Azure AI Foundry or AWS SageMaker, including serverless deployments (Lambda/Azure Functions) and containerization (Docker, Kubernetes).
- Deep understanding of LLM evaluation metrics and observability frameworks for monitoring agentic workflows.
Desired Capabilities/Experience:
- Ability to quickly build and test AI prototypes while maintaining a focus on enterprise-grade security and compliance.
- Active engagement in the AI community with a track record of evaluating emerging tools like LangChain, CrewAI, and Bedrock.
- Exceptional communication skills to bridge the gap between technical requirements and business objectives for non-technical stakeholders.
- Deep understanding of emerging trends such as Reinforcement Learning from Human Feedback (RLHF) and multimodal AI.
Thanks,
Ollie
