GenAI Software Engineer - Node.js & LLMs

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.

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

• Playwright
• Jest

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