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.
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Key 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.
Requirements
-
Backend Technologies:
- Node.js
- TypeScript
- Express.js
-
Databases:
- PostgreSQL
- MongoDB
- Redis
- Vector Databases
-
Testing Frameworks:
-
Cloud Platforms:
- Microsoft Azure
- Amazon Web Services (AWS)
-
AI Platforms & Services:
- Azure OpenAI
- OpenAI API
- AWS Bedrock
-
AI Frameworks & Integrations:
- LangChain
- LangGraph
- Prompt Engineering
- LLM Integrations
- AI Model Orchestration
- API Integrations
Required GenAI Expertise
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.
Required Technical Competencies
- 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.
Required Academic Knowledge
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.
Required Competencies
- 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.
Preferred Domain Experience
- Banking
- Financial Services
- Risk & Compliance Platforms
- Enterprise Business Applications
Location
Dubai, United Arab Emirates
