Job Overview
ENGINEER — AI-POWERED FINANCIAL PLATFORMS
Location: Oman — Remote / GCC Collaboration
Seniority Level: Senior / Advanced Technical
Employment Type: Full-time, Permanent
Industry Focus: Fintech, Artificial Intelligence, Software Engineering, Digital Banking, Financial Platforms
BUILD INTELLIGENCE INTO THE FINANCIAL SYSTEM
The next generation of fintech platforms will not simply process financial information.
They will interpret it, learn from it, predict patterns, automate decisions, and continuously improve the customer experience.
We are seeking a highly capable Engineer to develop the software and intelligent infrastructure supporting AI-enabled financial applications.
This is a deeply technical role for an engineer who enjoys working at the intersection of software architecture, artificial intelligence, financial data, distributed systems, and real-world financial products.
ENGINEERING MANDATE
You will:
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Design and develop production-grade fintech applications incorporating AI capabilities.
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Build APIs and services connecting intelligent financial products to broader platforms.
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Develop data pipelines supporting machine-learning and analytical workloads.
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Integrate predictive models into customer-facing financial applications.
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Build scalable services for transaction analysis and financial intelligence.
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Develop automated testing and deployment pipelines.
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Improve application performance, reliability, and observability.
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Collaborate with data scientists to productionize machine-learning models.
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Work with product teams to convert financial use cases into technical solutions.
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Implement secure data-processing architectures.
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Develop monitoring frameworks for AI-enabled applications.
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Investigate production issues and implement long-term engineering solutions.
TECHNICAL LANDSCAPE
Experience across several of the following is desirable:
Python | Java | Go | SQL | REST APIs | Microservices | Cloud Platforms | Kubernetes | Docker | Machine Learning | Data Engineering | Event Streaming | CI/CD | Distributed Systems | MLOps
WHAT MAKES THIS ROLE CHALLENGING
Financial AI cannot be treated like a conventional software feature.
You will need to consider:
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Data quality.
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Model performance.
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Latency.
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Scalability.
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Security.
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Explainability.
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Reliability.
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Monitoring.
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Cost efficiency.
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Production failure scenarios.
The strongest candidate understands both the engineering mechanics and financial consequences of these decisions.
IDEAL PROFILE
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5+ years of software engineering experience, preferably within fintech, banking, payments, or data-intensive technology.
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Strong programming and software-architecture skills.
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Experience building production APIs and distributed applications.
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Practical understanding of machine-learning integration.
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Strong knowledge of databases and data-processing systems.
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Familiarity with cloud-native development.
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Strong testing, debugging, and observability practices.
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Ability to collaborate effectively with product, data, security, and business teams.
THE ENGINEERING VISION
Imagine a financial platform that does more than react.
It detects patterns.
It anticipates demand.
It identifies anomalies.
It personalizes experiences.
It continuously learns from operational data.
Your responsibility will be helping turn that vision into secure, scalable production technology.
WHY THIS ROLE MATTERS
The future of fintech will be built by engineers capable of combining software discipline with financial intelligence.
This position offers the opportunity to become one of those engineers.
Compensation: Attractive senior technical package reflecting engineering expertise, AI capability, and scope of responsibility.
Don’t miss the chance to make a difference in the fintech and FX industry!
Apply now by clicking on the “Apply Now” button below.
Let’s shape the future of finance together!
#EmploySolutionJobs #FXCareers.
