Sr. Software Engineer - (GenAI & Node.js)
- Source: Workable
- GSSTech Group
- On-site
- Bengaluru
- Senior
Job 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-Nativ…
Skills
- NodeJS
- aws-sdks
- javascript
- ecmascript
- TypeScript
- microsoft-typescript
- microsoft-azure
- sequelize
- TypeORM
- Mongoose
- Docker
- Kubernetes
- jsdoc
- ability-lms
- workable
