Software Engineer FullStack - (GenAI & LLMs)

About this role

We are looking for a highly skilled Software Engineer with strong expertise in Full Stack development using Node.js and React.js, combined with hands-on experience in Generative AI and Large Language Model (LLM) integrations. The ideal candidate will have experience building scalable, secure, and high-performance enterprise applications and developing AI-powered solutions leveraging modern cloud and distributed architectures. This role requires strong backend engineering capabilities, modern frontend development skills, AI integration expertise, and the ability to work within Agile software engineering teams delivering enterprise-grade applications. Requirements Key Responsibilities Design, develop, and maintain scalable Full Stack applications using Node.js and React.js. Develop highly available and performant RESTful APIs and backend services. Build and integrate microservices-based applications using modern software engineering practices. Design and implement Generative AI and LLM-powered solutions using APIs and SDKs. Develop prompt engineering strategies and optimize prompts for AI-driven applications. Integrate AI services and cloud-based capabilities into enterprise applications. Build real-time applications using WebSockets and event-driven architectures. Collaborate with cross-functional teams including Product, QA, DevOps, and Engineering teams. Participate in code reviews and contribute to software engineering best practices. Troubleshoot and resolve issues across distributed systems and production environments. Ensure applications are secure, scalable, and optimized for performance. Contribute to CI/CD implementation and automation initiatives. Document code and technical solutions using industry-standard documentation practices. Participate in Agile ceremonies and software delivery activities. Required Technical Skills Backend Development Strong hands-on experience with Node.js development. Expertise in developing scalable and highly available RESTful APIs. Strong understanding of: Asynchronous programming Promises Async/Await Event-driven architectures Non-blocking code implementation Multi-threading concepts (where applicable) Frontend Development Strong proficiency in: React.js JavaScript (ES6+) TypeScript DOM manipulation JavaScript object model Generative AI & LLM Engineering Hands-on experience designing and developing LLM-based applications. Experience with: Prompt Engineering LLM integrations using APIs and SDKs AI-powered application development Working knowledge of Azure AI Services, including: Azure OpenAI Azure Speech Services Azure Language Services PII Detection Services API & Database Technologies Strong understanding of: RESTful API design principles API security best practices Distributed services architectures Experience with: Sequelize TypeORM Mongoose Strong database knowledge in: SQL databases NoSQL databases Real-Time & Distributed Systems Experience implementing: WebSockets Event-driven architectures Distributed services ecosystems Caching layers API gateways Proxies and web services DevOps & Cloud Technologies Hands-on experience with: CI/CD pipelines Remote deployment tools Git version control Docker Kubernetes Strong understanding of: Containerization principles Cloud-native application development Security & Compliance Good understanding of: Firewall concepts Network security best practices API security Secure data handling practices in regulated environments Testing & Documentation Ability to create automation test scripts (preferred). Experience documenting code using: JSDoc Industry-standard documentation conventions Proficiency with the latest ECMAScript standards (JavaScript/TypeScript). Nice to Have Experience building AI-driven enterprise applications. Exposure to modern software engineering and cloud-native architectures. Experience working with large-scale distributed systems. Knowledge of modern AI application frameworks and tooling. Required Competencies Strong problem-solving and analytical skills. Excellent communication and collaboration capabilities. Strong ownership mindset with focus on engineering excellence. Ability to work effectively in Agile and cross-functional teams. Ability to adapt quickly to evolving technologies and business requirements. Passion for continuous learning in Generative AI and modern software development practices. Preferred Domain Experience Enterprise Software Engineering Generative AI Applications Financial Services / Banking (Preferred) Digital Transformation Programs