Building Scalable Apps with .NET Core and AWS Lambda: A Developer’s GuideBuilding Scalable Apps with .NET Core and AWS Lambda: A Developer’s Guide

Exciting Opportunity for Expert Node.js Engineers with Generative AI Integration!

Job Title: Node.js Engineers with Generative AI Integration Expertise
Location: Bangalore, India

Work Mode: On-site (Work from Office)

Hiring Type: 12-Month Contract (Possible Extension Based on Performance)

Experience Required: 7 to 8 Years

Immediate Joiners Preferred

Apply at: hr@staginvs.com

 

 About the Role

Are you a passionate Node.js Engineer looking to work on cutting-edge Generative AI projects? Do you thrive in an environment that challenges you to integrate AI capabilities into backend services while ensuring performance, scalability, and security? If so, this opportunity is for you!

 

We are looking for a talented Node.js Engineer with expertise in Generative AI Integration to join our team in Bangalore. This role requires hands-on experience in backend development, AI-powered applications, and cloud computing using Azure. You will be working closely with AI frameworks like LangChain and LangGraph, integrating them into our backend systems, and collaborating with experts across various domains.

 

This is an on-site role offering an exciting chance to work on state-of-the-art AI-powered applications while engaging with product managers, engineers, and security experts.

 

 Key Responsibilities

1. Backend Development with Node.js

– Develop, optimize, and maintain high-performance backend services using Node.js.

– Implement asynchronous programming, microservices, and event-driven architectures.

– Ensure secure, scalable, and maintainable APIs for seamless data exchange and integration.

– Write clean and efficient code that follows best software engineering practices.

 

2. AI-Powered Features and Generative AI Integration

– Integrate AI frameworks (LangChain, LangGraph) into backend applications.

– Develop AI-driven functionalities like chatbots, NLP processing, summarization, and recommendations.

– Collaborate with ML engineers and data scientists to fine-tune AI models.

– Implement AI-driven pipelines to support real-time AI processing in backend systems.

– Ensure compliance with data privacy laws and security protocols.

Also Read: High Paying IT Jobs in Mumbai (Bombay) – The Ultimate Guide to Top Careers in 2024

 

3. Cloud & Azure Services

– Utilize Azure services (Azure Functions, Azure Storage, Azure Cognitive Services, etc.) to develop cloud-ready applications.

– Optimize cloud resources for cost-efficiency and high availability.

– Integrate AI services such as Azure Open AI and Azure ML into existing applications.

 

4. Containerization & Deployment (OpenShift & Kubernetes)

– Deploy and manage containerized applications using OpenShift or Kubernetes.

– Monitor and optimize container performance, ensuring seamless microservice integration.

– Configure storage, networking, and security policies for containerized workloads.

– Work with DevOps engineers to automate and streamline deployments.

 

5. DevOps and CI/CD Implementation

– Set up and maintain CI/CD pipelines for efficient software deployment.

– Automate testing and integration processes for seamless software releases.

– Monitor system performance with automated logging and alerting tools.

 

6. Security & Compliance

– Implement firewall policies and network restrictions to protect AI applications.

– Secure APIs with OAuth, JWT, and other authentication best practices

Join our WhatsApp Group : JOIN US

By Joyal15

Leave a Reply

Your email address will not be published. Required fields are marked *