Edison Smart is partnered with a fast-growing AI technology business in the UAE that is looking to hire an AI Product Engineer to support the continued development and delivery of AI-powered products.

The AI Product Engineer will be responsible for:

• Building and deploying production-ready AI-powered products and features
• Developing applications leveraging LLMs and modern generative AI technologies
• Designing and integrating APIs, backend services and AI workflows
• Taking new AI concepts from rapid prototype through to production
• Working closely with product and engineering teams to solve complex customer problems
• Contributing to technical architecture and product direction as the platform scales

The AI Product Engineer will possess:

• Strong software engineering experience with Python
• Hands-on experience building products using LLMs and generative AI
• Experience with AI agents, RAG or similar LLM architectures
• Strong knowledge of APIs, backend systems and application development
• Experience taking AI applications from prototype into production

This is an opportunity to join a rapidly growing technology business where AI sits at the core of the product. You’ll have significant ownership, work on challenging real-world problems and play an important role in shaping products as the company continues to scale.

Edison Smart is partnering with a high-growth global fintech business to appoint an Engineering Manager into its Singapore technology organisation.

This is an opportunity to lead a team responsible for large-scale, mission-critical financial technology, combining people leadership with technical and architectural ownership.

The Role

You will lead and develop a team of software engineers building highly scalable backend platforms operating across international markets.

Responsibilities include:

• Lead, coach and develop a team of engineers.
• Provide technical direction across complex backend and distributed systems.
• Partner with senior engineers on architecture and system design.
• Own engineering delivery, quality and operational excellence.
• Drive improvements across scalability, reliability, observability and performance.
• Support hiring and continued growth of the engineering team.
• Work closely with Product and other technology leaders on roadmap and priorities.
• Remain technically credible while focusing primarily on enabling and developing the team.

What We're Looking For

• 10+ years' software engineering experience.
• 2+ years' experience directly managing engineers.
• Strong backend engineering background using Java or Kotlin.
• Experience with distributed systems and microservices.
• Strong knowledge of Kafka / event-driven architecture.
• Experience designing and operating APIs at scale.
• Cloud experience across GCP or AWS.
• Docker and Kubernetes.
• Experience building high-availability, high-throughput production systems.
• Strong people leadership and mentoring capability.

Experience within fintech, payments, banking or another highly regulated/high-volume technology environment would be advantageous.

The Opportunity

You'll join a well-funded, rapidly scaling international technology business with significant investment in its Singapore engineering capability. The position offers genuine ownership across people, architecture, delivery and technical strategy, working on platforms operating at significant global scale.

Edison Smart is supporting a global FinTech business building technology that powers payments and financial services across international markets.

We’re looking for a Senior Software Engineer to join a highly technical engineering environment, building scalable, distributed systems that process high volumes of financial transactions globally.

This is a hands-on engineering role for someone who enjoys solving complex backend problems, designing scalable APIs and building reliable systems where performance, security and availability are critical.

What You’ll Be Doing

• Design and build scalable backend services using Node.js and TypeScript.
• Develop high-performance APIs and microservices supporting global financial products.
• Design and operate distributed systems processing high volumes of transactions.
• Build reliable integrations with internal and external services.
• Work with SQL and NoSQL databases including MySQL, PostgreSQL and MongoDB.
• Contribute to architecture and technical design decisions across the platform.
• Build internal tooling and applications using React where required.
• Work within AWS-based cloud environments.
• Deploy and operate containerised applications using Docker and Kubernetes.
• Contribute to CI/CD, infrastructure automation and Terraform environments.
• Improve system performance, scalability, reliability and security.
• Mentor engineers and contribute to engineering standards and best practices.

What We’re Looking For

• 6+ years of commercial Software Engineering experience.
• Strong Node.js and TypeScript experience.
• Strong understanding of backend engineering, APIs and microservices.
• Experience designing and building distributed systems at scale.
• Strong knowledge of SQL and/or NoSQL databases.
• Experience with AWS and cloud-native application development.
• Experience with Docker and Kubernetes.
• Good understanding of CI/CD and modern software delivery practices.
• Knowledge of Terraform and infrastructure-as-code is highly desirable.
• Python or Go experience would be advantageous.
• React experience would be beneficial.
• Strong understanding of SOLID principles, software architecture and common design patterns.
• Experience within FinTech, Payments, Banking or another high-volume transactional environment would be highly desirable.

Why Join?

You’ll be working within a global FinTech environment solving complex engineering problems at scale.

The role offers significant technical ownership across backend architecture, distributed systems and cloud-native engineering, while working on technology responsible for moving money globally.

Edison Smart is proud to partner with a growing fintech company building modern digital financial services. We are hiring a Senior Software Engineer to own a core product domain end-to-end.

What You'll Do

• Own solution design and delivery for a core domain
• Work with product and compliance to turn requirements into scalable systems
• Set the technical bar for quality and security
• Mentor engineers, drive architectural decisions

What We're Looking For

• Background in banking, fintech, or another regulated industry
• Track record owning projects from concept to production
• Hands-on experience implementing AI tools/technology in engineering workflows

Edison Smart is partnered with a high-growth AI FinTech company in Dubai that is expanding its engineering team following significant customer and product growth.

They are looking for a Forward Deployed Engineer to work directly with enterprise customers, owning technical deployments and building the integrations, workflows and product capabilities needed to take the platform into production.

This is a highly technical, hands-on position sitting between Software Engineering, Product and the customer.

Responsibilities

• Own customer deployments from technical discovery through to production.
• Work directly with customers to understand complex technical and business requirements.
• Build backend services, APIs and integrations using Python and FastAPI.
• Integrate the platform with customer systems, data sources and existing infrastructure.
• Build bespoke workflows and product capabilities around individual customer requirements.
• Troubleshoot issues across application, data, API and infrastructure layers.
• Prototype and ship solutions quickly alongside the core engineering team.
• Translate customer requirements into scalable capabilities within the core platform.
• Work closely with engineering, product and commercial teams throughout deployments.

Requirements

• Strong Software Engineering background with commercial Python experience.
• Experience building production APIs and backend services.
• Strong knowledge of REST APIs, databases and system integrations.
• Experience with PostgreSQL or similar relational databases.
• Cloud experience across Azure, AWS or GCP.
• Experience with Docker and modern deployment environments.
• Previous experience working directly with enterprise customers.
• Ability to operate across engineering, product and customer-facing environments.
• Comfortable solving ambiguous technical problems with significant ownership.
• Experience within AI, FinTech, financial services or complex data platforms would be advantageous.

Edison Smart is partnering with a growing technology business in the UAE to hire an Applied ML Scientist.

You’ll join a technical team developing machine learning models that support complex, data-driven decision-making across a high-volume platform.

The role will suit someone who combines strong applied machine learning expertise with a practical mindset around getting models into production and measuring their real-world performance.

Responsibilities

• Design, develop and optimise machine learning models for prediction, classification and risk-based use cases.

• Apply advanced ML techniques to complex behavioural and transactional datasets.

• Explore graph-based machine learning approaches to identify relationships and patterns across large datasets.

• Develop robust feature engineering and model evaluation frameworks.

• Work closely with engineering teams to productionise models and integrate them into applications and services.

• Monitor model performance, drift and effectiveness in production.

• Develop approaches to model explainability, transparency and fairness.

• Run experiments and continuously improve models based on production results.

• Evaluate new machine learning techniques and technologies.

• Take ownership of models throughout the full lifecycle from experimentation to production.

Technical Experience

• Strong applied machine learning experience using Python.

• Hands-on experience with PyTorch, TensorFlow, scikit-learn or comparable ML frameworks.

• Experience working with graph-based data or graph machine learning would be advantageous.

• Strong feature engineering experience across large and complex datasets.

• Experience productionising and managing machine learning models.

• Exposure to MLOps tooling and model lifecycle management.

• Strong SQL and data manipulation skills.

• Experience working with large-scale data processing technologies.

• Understanding of model explainability techniques such as SHAP, LIME or similar.

• Experience working within cloud-based machine learning environments.

What We're Looking For

You’ll be an applied ML specialist who is interested in solving real-world problems rather than developing models purely for research. You should be comfortable experimenting, challenging assumptions and working closely with engineers to turn successful models into reliable production systems.

Experience within financial technology, risk, high-volume transactional platforms or other data-intensive environments would be advantageous.

Edison Smart is partnering with a growing technology business in the UAE to hire a Security & Compliance Engineer.

This is a hands-on position responsible for strengthening security across cloud infrastructure, applications and engineering practices while supporting the organisation's regulatory and compliance requirements.

You’ll work closely with engineering and technology leadership to embed security throughout the development lifecycle and continuously improve the organisation's overall security posture.

Responsibilities

• Drive security and compliance initiatives across a regulated technology environment.
• Embed security best practices throughout engineering and product development.
• Conduct penetration testing, vulnerability assessments and security reviews.
• Perform application and code-level security assessments.
• Strengthen cloud security, access controls and identity management.
• Develop security monitoring, detection and incident-response capabilities.
• Support industry security and data-protection standards.
• Establish best practices around encryption, tokenisation and key management.
• Work directly with engineers to improve secure development practices.
• Identify security risks and take ownership of remediation.

Technical Experience

• Strong application and cloud security experience.
• Experience working within fintech, payments, banking or another regulated environment.
• Knowledge of recognised security and compliance frameworks such as PCI-DSS and ISO 27001.
• Strong understanding of cloud security, ideally within Azure environments.
• Experience with Identity & Access Management.
• Hands-on penetration testing and vulnerability-management experience.
• Experience with SIEM, security monitoring and incident detection.
• Strong understanding of secure SDLC and secure coding principles.
• Knowledge of encryption, tokenisation, secrets and key management.
• Exposure to financial-services regulation within the GCC is advantageous.

What We're Looking For

A hands-on security professional who can operate effectively within a fast-moving engineering environment. You’ll be comfortable working directly with technical teams, identifying risks and taking ownership of implementing practical solutions.

Edison Smart is proud to partner with a highly innovative fintech venture on an exclusive opportunity to build a next-generation digital banking platform.

Responsibilities:

• Develop React Native applications using TypeScript.
• Deliver intuitive, high-performance user experiences.
• Collaborate with engineers, AI specialists, and designers.
• Take ownership of your work and influence the product.

Requirements:

• Proficiency in React Native and TypeScript.
• Experience with UI frameworks, state management, and APIs.
• Passion for building innovative fintech products.
• Proven fintech experience required.

Why This Role is Unique:

• Exclusive opportunity to work on a cutting-edge platform.
• Shape the frontend experience and make a direct impact.
• Work across all seniority levels with a forward-thinking team.