We are looking for a highly skilled Software Engineer with strong expertise in Node.js, Generative AI, and modern AI application development to support enterprise Business Platforms and Risk & Compliance initiatives.
The ideal candidate will have hands-on experience building production-grade AI-powered applications and integrating Large Language Models (LLMs), APIs, and enterprise data sources. This role requires strong backend engineering capabilities, experience with GenAI frameworks and cloud-based AI services, and the ability to develop scalable, secure, and high-performance AI-enabled systems.
The successful candidate will work closely with cross-functional engineering teams to design and develop intelligent applications that leverage modern AI technologies while adhering to enterprise-grade engineering standards.
RequirementsKey Responsibilities
- Design, develop, and maintain scalable backend applications using Node.js and TypeScript.
- Build production-grade AI-powered applications integrating LLMs, APIs, and enterprise data sources.
- Develop and maintain RESTful APIs using Express.js.
- Design and implement AI workflows using modern GenAI frameworks and orchestration tools.
- Integrate cloud-based AI services from Azure and AWS platforms.
- Build and optimize AI-enabled business applications for Risk & Compliance initiatives.
- Develop robust prompt engineering strategies for enterprise AI use cases.
- Implement scalable data processing pipelines and AI integrations.
- Collaborate with product, engineering, and business teams to deliver AI-driven solutions.
- Participate in code reviews and contribute to engineering best practices and architecture discussions.
- Troubleshoot and optimize application performance, scalability, and reliability.
- Ensure adherence to software engineering, security, and coding standards.
- Node.js
- TypeScript
- Express.js
- PostgreSQL
- MongoDB
- Redis
- Vector Databases
- Playwright
- Jest
- Microsoft Azure
- Amazon Web Services (AWS)
- Azure OpenAI
- OpenAI API
- AWS Bedrock
- LangChain
- LangGraph
- Prompt Engineering
- LLM Integrations
- AI Model Orchestration
- API Integrations
Candidates should have hands-on experience with:
- Building production-grade Generative AI applications.
- Integrating Large Language Models (LLMs) with enterprise applications.
- Developing AI-powered workflows using LangChain and LangGraph.
- Working with vector databases for semantic search and Retrieval-Augmented Generation (RAG) use cases.
- Prompt engineering techniques for enterprise AI applications.
- Designing scalable and secure AI-enabled systems.
- Strong understanding of RESTful API design principles.
- Experience developing scalable and secure backend architectures.
- Strong understanding of distributed systems and modern software engineering practices.
- Experience working with production-grade AI and cloud-native applications.
- Familiarity with CI/CD and modern development workflows.
- Excellent debugging, problem-solving, and performance optimization skills.
Candidates should possess a good understanding of:
- Linear Algebra
- Probability
- Statistics
These concepts are essential for understanding modern AI and machine learning systems and their practical enterprise applications.
Preferred Experience- Enterprise AI application development.
- Risk & Compliance platforms.
- Business platform engineering.
- Cloud-native architectures.
- Large-scale backend systems.
- Modern AI and LLM ecosystems.
- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder management capabilities.
- Ability to work effectively in Agile and cross-functional teams.
- Strong ownership mindset and delivery excellence.
- Quick learner with a passion for modern AI technologies and continuous innovation.
- Ability to adapt to evolving business and technical requirements.
- Banking
- Financial Services
- Risk & Compliance Platforms
- Enterprise Business Applications
Skills Required
- Node.js
- TypeScript
- Express.js
- PostgreSQL
- MongoDB
- Redis
- Vector databases (semantic search/RAG)
- Playwright
- Jest
- Microsoft Azure
- Amazon Web Services (AWS)
- Azure OpenAI
- OpenAI API
- AWS Bedrock
- LangChain
- LangGraph
- Prompt engineering (enterprise use cases)
- LLM integrations and AI model orchestration
- RESTful API design and development
- Designing scalable, secure backend architectures
- Experience building production-grade Generative AI applications
- Experience integrating LLMs with enterprise applications and data sources
- Experience implementing data processing pipelines and AI integrations
- Familiarity with CI/CD and modern development workflows
- Linear Algebra knowledge
- Probability knowledge
- Statistics knowledge
- Strong debugging, performance optimization, and distributed systems understanding
- Production experience with cloud-native AI applications
- Experience with Risk & Compliance platforms
- Enterprise AI application development experience
- Large-scale backend systems and business platform engineering
What We Do
Global Software Solutions Group Veracious product line is a series of robust banking platforms that provide core banking, payment systems, custom process automation, and document management solutions for banks and financial institutions in Middle East & Africa. This cutting-edge product line features the Veracious Payments Hub, Digital Banking and the DMS, all built on the Torus Lowcode development platform software. Global Software Solutions Group is a software solutions provider that aims to solve mission-critical problems that financial institutions face today. Our software solutions bring together our Low Code platform, the payments product line and customized service offerings to solve mission-critical statements in core banking, payments, process automation, and document management. The Payments Hub is GSS's flagship product.
