Sr. Software Engineer - (GenAI & Node.js)

Location: Bengaluru, Karnataka, India

Workplace: on_site

Description

We are looking for a highly skilled Senior Software Engineer with strong expertise in Node.js, JavaScript, TypeScript, RESTful APIs, and GenAI/LLM integrations to work on enterprise-scale Technology Platforms & Integration initiatives.

The ideal candidate should have strong hands-on experience developing scalable and highly available backend services, working with distributed systems, integrating AI capabilities through APIs/SDKs, and building secure, performant, and maintainable applications.

The role requires a strong understanding of modern JavaScript/ECMAScript, asynchronous and non-blocking programming, API architecture, cloud-native technologies, CI/CD, containerization, security, and enterprise application infrastructure.

Requirements

Key Responsibilities

• Design, develop, and maintain scalable, highly available RESTful APIs using Node.js.
• Develop robust backend services using JavaScript, TypeScript, and modern ECMAScript standards.
• Implement asynchronous and non-blocking programming patterns using Promises, async/await, and event-driven architectures.
• Design and integrate LLM/GenAI-based solutions using APIs and SDKs.
• Engineer, fine-tune, and optimize prompts for large language model (LLM) applications.
• Integrate AI capabilities into enterprise applications using appropriate APIs and SDKs.
• Work with Azure AI services, including:
• Azure Speech
• Azure Language
• Azure OpenAI
• PII Detection
• Design and implement real-time communication capabilities using WebSockets.
• Develop and maintain database integrations using appropriate ORMs and ODMs, including technologies such as Sequelize, TypeORM, and Mongoose.
• Build and maintain secure APIs and services within a regulated enterprise environment.
• Apply API and data security best practices, including understanding of firewall and network security concepts.
• Develop efficient, non-blocking code and apply advanced techniques such as multi-threading where required.
• Troubleshoot and resolve issues across distributed services ecosystems.
• Participate in CI/CD implementation, deployment, troubleshooting, and release activities.
• Work with Docker and Kubernetes for containerization and deployment.
• Understand and work across different layers of enterprise applications, including:
• Platform layer
• Database layer
• API layer
• Caching layer
• Proxy layer
• Web services
• Participate in code reviews and contribute to engineering standards and best practices.
• Document code inline using JSDoc or other accepted documentation conventions.
• Develop automation test scripts where required.
• Collaborate with cross-functional engineering and technology teams to deliver reliable and scalable solutions.

Required Technical Skills

Node.js & Backend Engineering

• Strong expertise in Node.js.
• Proven experience developing scalable and highly available RESTful APIs.
• Strong understanding of asynchronous programming.
• Hands-on experience with:
• Promises
• async/await
• Event-driven architecture
• Non-blocking programming
• Understanding and practical application of advanced programming techniques, including multi-threading where required.

JavaScript & TypeScript

• Strong proficiency in JavaScript.
• Strong understanding of the JavaScript object model.
• Knowledge of DOM manipulation.
• Strong understanding of the latest ECMAScript standards.
• Strong proficiency in TypeScript.
• Experience documenting code using JSDoc or equivalent conventions.

API & Integration

• Strong understanding of RESTful API design and development.
• Experience securing APIs and enterprise data.
• Experience integrating services through APIs and SDKs.
• Understanding of API architecture within distributed enterprise environments.
• Hands-on experience with WebSockets for real-time communication.

GenAI / LLM

• Practical experience with Generative AI / LLM-based solutions.
• Knowledge of designing, engineering, and fine-tuning prompts for LLM applications.
• Experience integrating LLM capabilities through APIs or SDKs.

Azure AI

Working knowledge of Azure AI services, including:

• Azure Speech
• Azure Language
• Azure OpenAI
• PII Detection

Database & Data Access

• Experience with ORMs and ODMs for database interaction.
• Familiarity with:
• Sequelize
• TypeORM
• Mongoose

DevOps & Cloud-Native Technologies

• Strong understanding of CI/CD principles.
• Experience working with CI/CD tools and remote deployment processes.
• Hands-on experience with Docker.
• Hands-on experience with Kubernetes.
• Experience troubleshooting distributed services and deployment environments.

Security & Enterprise Architecture

• Familiarity with firewall and network security concepts.
• Understanding of best practices for securing APIs and data in regulated environments.
• Strong understanding of the responsibilities and interactions between:
• Platforms
• Databases
• APIs
• Caching layers
• Proxies
• Web services

Testing

• Ability to create automation test scripts is preferred.
• Strong understanding of software quality and engineering best practices.

Required Competencies

• Strong problem-solving and troubleshooting skills.
• Ability to work effectively with distributed and cross-functional technology teams.
• Strong understanding of scalable and highly available application architecture.
• Ability to work with complex enterprise technology environments.
• Strong ownership of technical delivery and production stability.
• Ability to understand and troubleshoot issues across multiple layers of a distributed services ecosystem.
• Strong communication and technical documentation skills.
• Ability to learn and adopt modern technologies, particularly in GenAI and cloud-native engineering.

Preferred Experience

• Experience working on enterprise-scale technology platforms and integration solutions.
• Experience in regulated or security-sensitive technology environments.
• Experience with AI/GenAI integrations within enterprise applications.
• Experience building highly available and distributed backend services.
• Exposure to automation testing and automated engineering workflows.