Software Engineer FullStack - (GenAI & LLMs)

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 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.