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.

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 SkillsNode.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.

Solid 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.

📌 Sr. Software Engineer - (GenAI & Node.js) (Bengaluru)
🏢 GSSTech Group
📍 Bengaluru