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.
Requirements
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
Required Technical Skills
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
