Senior AI Engineer

DeepLight AI is 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.At DeepLight, we don't believe in "off-the-shelf" fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.As a Senior AI Engineer, you will drive the design, development, and deployment of production-grade Artificial Intelligence and Generative AI solutions. This role sits at the intersection of cutting-edge research and enterprise-scale application engineering, specifically focused on delivering high-impact, secure, and performant intelligent systems for premier clients in regulated spaces like financial services and banking.You will act as a technical pillar within the AI squad—collaborating with Data Architects, UI Engineers, and delivery leads to transform complex business requirements into robust, production-ready AI agents and pipelines. This role demands exceptional technical mastery, a deep commitment to architectural integrity, and a proactive approach to solving ambiguous data challenges.Key ResponsibilitiesGenerative & Agentic AI EngineeringCognitive Systems Architecture: Design, build, and optimize enterprise-grade Generative AI applications and multi-agent frameworks capable of complex reasoning and autonomous task executionKnowledge Retrieval Systems: Architect and maintain scalable Retrieval-Augmented Generation (RAG) pipelines utilizing advanced vector databases and semantic search strategiesAdvanced Prompt Engineering: Develop and systematically evaluate advanced prompting techniques, guardrails, and context-window management strategies to ensure predictable, secure model behaviorDeep Learning & Model OptimizationCore Modeling & Execution: Train, fine-tune, and deploy deep learning models across both Natural Language Processing (NLP) and Computer Vision (CV) domainsOpen-Source & Cloud Integration: Evaluate and deploy both proprietary cloud models (e.g., GPT, Claude) and open-source foundation models, balancing performance, latency, and costEdge & Inference Optimization: Convert and optimize models for efficient production deployment and runtime inference using formats like ONNXData & MLOps InfrastructureData Processing Pipelines: Architect and refine complex, highly performant data preprocessing and feature engineering pipelines for unstructured and structured dataDatabase Governance: Design and optimize high-throughput queries across relational SQL databases and specialized NoSQL/Vector data storesRigorous Evaluation: Establish robust, data-driven model evaluation frameworks to continuously benchmark accuracy, drift, latency, and safety in productionAs an AI consultancy, our greatest asset is the expertise of our people.While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.You will be the face of our firm, tasked with building trust, articulating the "why" behind your technical decisions, and effectively "selling" your vision to high-level stakeholders.If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.RequirementsWe need you to have:A proven track record of designing, evaluating, and operating AI/ML models in high-availability enterprise or production environmentsDemonstrated professional or research experience spanning both Natural Language Processing (NLP) and Computer Vision (CV)Hands-on experience leveraging enterprise cloud AI infrastructures (such as Azure AI Studio or AWS Bedrock) to deploy foundation modelsAI, Modeling & FrameworksDeep conceptual and practical understanding of Large Language Models (LLMs), agentic workflows, function calling, and embedding modelsExpert proficiency in PyTorch and TensorFlow for building, training, and troubleshooting deep neural networksA practical understanding of model compilation, quantization, and deployment optimization via ONNX runtimeHigh proficiency in configuring and querying Vector Databases (e.g., Azure DocumentDB, Elasticsearch, Faiss) alongside extensive knowledge of enterprise SQL and NoSQL architecturesSoftware Engineering & Core ToolsPerfect-tier coding skills in Python, with a command of asynchronous programming, design patterns, and clean, modular code architectureAdvanced capabilities in processing massive datasets utilizing standard data ecosystems (e.g., Pandas, NumPy, Polars, or PySpark)It would also be great if you had:An MSc or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a highly related quantitative fieldPrior experience engineering AI solutions within banking, fintech, or highly regulated corporate environments (e.g., familiarity with data privacy, compliance, and secure financial data models)Familiarity with framework libraries such as LangChain, LlamaIndex, or AutoGen for agentic workflow constructionBenefitsThe benefits you'll enjoy as part of this role include:Competitive salary Comprehensive personal health insurance Visa Sponsorship for the successful individualProfessional development and certification supportSubscription reimbursement relating to your roleOpportunity to work on cutting-edge AI projectsMonthly Employee Incentive programCareer advancement opportunities in a rapidly growing AI companyThis position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.