Liztek — a specialist AI-driven compliance and data intelligence company engineering trust for regulated organisations including banks, fintechs, telcos, and large enterprises — is seeking an experienced AIML Backend Cloud Engineer for its Dubai team. This is a full-time, on-site senior engineering role requiring strong backend engineering proficiency in Python, Java, or Node.js; cloud infrastructure experience across AWS, Azure, or GCP; containerisation with Docker and Kubernetes; AI/ML model integration using TensorFlow, PyTorch, or Scikit-learn; and data pipeline expertise with Kafka, ETL tooling, and relational/NoSQL databases. You will design, build, and maintain the backend services and APIs that power Liztek’s AI-driven compliance, reporting, and data-quality products — including CompliNext, Finora, Compliverse, and Perfect Data — in regulated financial and enterprise environments in Dubai and across the region.
About Liztek — AI-Driven Intelligence for Regulated Organisations
Mission: Engineering trust through AI-driven intelligence for banks, fintechs, telcos, and large enterprises
Products: CompliNext · Finora · Compliverse · Perfect Data — compliance, reporting, audit automation, data quality
Capabilities: Real-time transaction monitoring · Intelligent reporting · Audit automation · Continuous data quality
Services: AI-powered platforms + consulting + Talent Grid resourcing — full-spectrum regulated sector support
Engineering Culture: Deep domain expertise + design-led engineering — AI that governs, protects, and illuminates operations
Full Technology Stack
Backend: Python · Java · Node.js · RESTful APIs · gRPC · Microservices architecture
AI/ML: TensorFlow · PyTorch · Scikit-learn · ML model deployment · AI service integration
Cloud & Infra: AWS · Azure · GCP · Docker · Kubernetes · Terraform · CloudFormation
Data Engineering: Kafka · Relational & NoSQL databases · ETL pipelines · Streaming platforms
Observability: Prometheus · Grafana · ELK Stack · CI/CD · Git-based workflows · Agile delivery
Position Overview
The AIML Backend Cloud Engineer at Liztek Dubai is a technically demanding and domain-specific engineering role at the intersection of backend systems engineering, AI/ML model integration, cloud infrastructure, and regulated financial services compliance — one of the most commercially high-stakes technology application contexts in the global software industry. You will design, build, and maintain the backend services and APIs that power Liztek’s AI-driven compliance and data-quality products across real-time transaction monitoring, intelligent reporting, audit automation, and continuous data quality — products deployed to banks, fintechs, telcos, and large enterprises where technical failure has direct regulatory, financial, and reputational consequences.
Day-to-day you will implement scalable microservices, integrate AI/ML models into production cloud environments, optimise data pipelines and storage systems, ensure high availability and security in cloud-native architectures, collaborate with data scientists and AI engineers to translate regulatory requirements into robust technical solutions, automate CI/CD workflows, monitor production systems with Prometheus, Grafana, and ELK, and contribute to architecture decisions that determine how Liztek’s AI compliance products scale and evolve. This is a role for an engineer who combines genuine backend engineering depth with AI/ML production experience and the cloud infrastructure capability to own the full technical stack behind a regulated AI product in Dubai’s active financial services sector.
Why AIML Backend Cloud Engineers in Dubai’s Regulated Fintech Sector Are Exceptionally Valuable in 2026: Dubai’s financial services sector — encompassing its rapidly growing fintech ecosystem, major banking institutions, and a stringent regulatory environment governed by the DFSA, UAE Central Bank, and global compliance frameworks — creates a market where AI-powered compliance technology is not a competitive advantage but an operational necessity. Engineers who combine backend cloud engineering depth with AI/ML production deployment experience and the ability to build systems that meet regulated sector reliability, security, and auditability standards are rare globally and in consistent, active demand in Dubai’s technology market in 2026. Liztek is exactly the kind of company that attracts and develops this calibre of engineer.
Key Responsibilities
Backend Services, APIs & Microservices Architecture
- Design, build, and maintain backend services and APIs that power Liztek’s AI/ML-driven compliance, reporting, and data-quality products — architecting and implementing the scalable, highly available, and security-hardened backend microservices that form the technical foundation of CompliNext, Finora, Compliverse, and Perfect Data — products deployed to regulated financial institutions where backend reliability, data integrity, and auditability are not optional engineering qualities but contractual and regulatory requirements
- Implement scalable microservices using Python, Java, or Node.js with RESTful or gRPC APIs — applying microservices design principles to build loosely coupled, independently deployable, and horizontally scalable backend services that handle the high-throughput, real-time data processing demands of transaction monitoring, intelligent reporting, and continuous data quality use cases in regulated enterprise environments
- Participate in code reviews, contribute to architecture decisions, and maintain technical documentation — applying engineering rigour and collaborative design thinking to maintain and improve the quality, maintainability, and scalability of Liztek’s backend codebase, ensuring that architecture decisions are well-reasoned, documented, and understood across the engineering team
AI/ML Model Integration & Production Deployment
- Integrate AI/ML models into production systems — working with Liztek’s data science and AI engineering teams to deploy ML models built with TensorFlow, PyTorch, or Scikit-learn into production cloud-native backend services, implementing the model serving, versioning, monitoring, and retraining infrastructure that keeps AI-powered compliance and data-quality features performing reliably in live regulated sector deployment environments
- Build and maintain the backend infrastructure that serves AI services into cloud-native applications — implementing the model inference endpoints, feature stores, prediction APIs, and AI workflow orchestration components that allow Liztek’s compliance AI products to deliver real-time, AI-powered insights and decisions to banking, fintech, and enterprise clients at the latency and reliability levels these regulated deployment contexts demand
- Collaborate with data scientists, AI engineers, product managers, and front-end teams to translate business and regulatory requirements into robust technical solutions — bridging the gap between ML research and production engineering, between product requirements and technical implementation, and between regulatory compliance obligations and the backend system behaviours that fulfil them
Cloud Infrastructure, Containerisation & CI/CD
- Apply hands-on experience with AWS, Azure, or GCP to deploy, scale, and operate Liztek’s cloud-native compliance AI products — managing cloud infrastructure provisioning, cost optimisation, network security, IAM policies, and multi-region deployment configurations that meet the security, compliance, and availability requirements of regulated financial services clients in Dubai and across the region
- Use Docker and Kubernetes for containerisation and orchestration — building and maintaining the container infrastructure that enables consistent, reproducible, and scalable deployment of Liztek’s backend microservices and AI model serving components, including Kubernetes cluster management, helm chart development, resource optimisation, and automated scaling configurations
- Automate CI/CD workflows using Git-based workflows, Terraform, and CloudFormation — building and maintaining the continuous integration and continuous delivery pipelines that enable Liztek’s engineering team to ship backend changes, model updates, and configuration changes rapidly, reliably, and with full traceability across all environments from development through production
- Monitor and maintain production systems using Prometheus, Grafana, and ELK — implementing the observability stack that provides real-time visibility into backend service health, AI model performance, data pipeline throughput, and infrastructure resource utilisation, enabling rapid identification and resolution of performance degradation or availability issues in live compliance product environments
Data Engineering, Pipelines & Storage Optimisation
- Optimise data pipelines and storage for high-throughput compliance and data-quality use cases — designing and maintaining the ETL and streaming data pipelines that ingest, transform, validate, and serve the transaction, reporting, and operational data that Liztek’s AI compliance products process, using Kafka for real-time streaming and appropriate relational and NoSQL database technologies for structured and unstructured data storage and retrieval
- Build reliable ETL pipelines and streaming data architectures using Kafka and associated data engineering tooling — implementing the event-driven data ingestion and processing patterns that enable real-time transaction monitoring, continuous data quality assessment, and intelligent reporting to function at the data volumes and latency requirements of banking and enterprise compliance deployments in Dubai’s regulated financial services market
Qualifications & Requirements
Essential Requirements
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Engineering, or a related technical discipline — from a recognised institution; a relevant engineering or computer science degree is the mandatory academic foundation for this specialist AIML Backend Cloud Engineer role
- Strong backend engineering skills including proficiency in Python, Java, or Node.js with experience building RESTful or gRPC APIs and designing microservices architectures — with demonstrable production backend engineering capability on systems serving regulated financial or enterprise clients at scale
- AI/ML engineering skills including experience working with TensorFlow, PyTorch, or Scikit-learn, deploying ML models to production, and integrating AI services into cloud-native backend applications
- Hands-on cloud and infrastructure experience with AWS, Azure, or GCP including containerisation with Docker, orchestration with Kubernetes, and infrastructure-as-code with Terraform or CloudFormation
- Data engineering experience with relational and NoSQL databases, Kafka streaming platforms, and ETL pipeline development — building the data infrastructure that powers AI/ML compliance and data-quality products
- Software quality skills including unit and integration testing, monitoring with Prometheus/Grafana/ELK, and performance optimisation — combined with Agile team experience, Git-based workflows, and strong technical documentation and communication capability
Why AIML Backend Cloud Engineer Roles in Dubai’s Regulated Fintech Sector Are Exceptional in 2026
Dubai’s position as the MENA region’s leading financial services hub — home to the DIFC, major international banks, a rapidly growing fintech ecosystem, and an increasingly sophisticated regulatory environment — creates a sustained and active demand for engineers who can build AI-powered compliance, monitoring, and data-quality systems to the reliability and security standards that regulated financial institutions require. Liztek’s product portfolio — covering real-time transaction monitoring, intelligent reporting, audit automation, and continuous data quality — sits squarely at the centre of this demand, building the AI-powered compliance infrastructure that Dubai’s financial sector increasingly depends on.
For a backend cloud engineer with genuine AI/ML production deployment experience, cloud-native infrastructure capability, and data pipeline engineering depth — who wants to apply this expertise in a technically demanding, commercially consequential, and professionally growing regulated AI technology company in Dubai — Liztek in 2026 represents an exceptional opportunity to work at the frontier of AI that governs, protects, and illuminates business operations for some of the most important regulated organisations in the UAE and the wider region. Apply now and help Liztek engineer trust through intelligence.
Who Should Apply?
- Backend Engineers with Production AI/ML Model Integration Experience: With demonstrable experience deploying TensorFlow, PyTorch, or Scikit-learn models into production backend systems — not just training models in notebooks, but building the model serving, inference, monitoring, and retraining infrastructure that keeps AI features performing reliably in live regulated financial or enterprise applications
- Cloud-Native Engineers with AWS/Azure/GCP and Kubernetes Expertise: With hands-on production experience managing containerised, cloud-native backend architectures on AWS, Azure, or GCP — including Kubernetes cluster operations, Docker container management, Terraform infrastructure-as-code, and the CI/CD pipeline automation that enables rapid, reliable backend service delivery
- Data Pipeline Engineers with Kafka and ETL Experience: With proven capability building and maintaining high-throughput streaming data pipelines using Kafka and associated tooling — combined with strong relational and NoSQL database engineering skills and experience optimising data storage and retrieval for AI/ML workloads in compliance-sensitive, regulated data environments
- Fintech or Regulated Sector Backend Engineers: Who have built backend systems for banking, financial compliance, transaction monitoring, or regulatory reporting applications — with the sensitivity to data security, auditability, and system reliability that regulated financial sector deployments demand, and the experience to translate complex compliance requirements into robust, production-grade backend technical solutions
- Dubai-Based or Relocating AI/ML Backend Engineers: Seeking a full-time senior engineering role at a specialist AI compliance technology company in Dubai — with the technical challenge of building AI-powered products for the regulated financial sector, the professional satisfaction of working where engineering decisions have direct regulatory and commercial consequences, and the career development opportunities of Liztek’s growing Dubai-based engineering team
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