Fullstack Engineer - Only Immediate joiners

Luxoft; India; Remote; INR 3,000,000 - 5,200,000; Full time

Job summary

Luxoft in India is seeking a highly skilled Full Stack AI Engineer to design, develop, and maintain AI-enabled applications and intelligent agents that drive business automation and user experiences. You will build scalable Java-based backend services, modern frontend apps, and implement AI/GenAI capabilities.

In a pod-based agile environment, you will own end-to-end delivery, contribute to CI/CD pipelines, and produce architecture artifacts.

Qualifications

• 7+ years of experience in Full Stack Application Development.
• Strong experience in Java, Spring Boot, REST APIs, and Microservices architecture.
• Proven expertise in Python development for AI/ML and Generative AI solutions.
• Experience building AI-enabled applications, chatbots, AI agents, or LLM-based solutions.
• Strong frontend development experience using React, Angular, JavaScript, or TypeScript.
• Experience with CI/CD tools such as Jenkins, GitHub Actions, Azure DevOps, or similar platforms.
• Strong understanding of automated testing frameworks and quality engineering practices.
• Experience with cloud platforms such as Azure, AWS, or GCP.
• Familiarity with containerization technologies such as Docker and Kubernetes.
• Excellent problem-solving, collaboration, and communication skills.
• Experience working in Agile/Scrum or pod-based delivery environments.

Responsibilities

• Design, develop, and maintain AI-enabled applications, intelligent agents, and enterprise solutions.
• Develop scalable Java-based backend services, APIs, and microservices.
• Build responsive and intuitive frontend applications and user experiences.
• Implement AI, Machine Learning, and Generative AI capabilities using Python and related frameworks.
• Integrate Large Language Models (LLMs), AI agents, and conversational AI solutions into business applications.
• Develop and execute automated testing strategies and promote shift-left quality practices.
• Build, manage, and optimize CI/CD pipelines to support automated deployments.
• Produce technical documentation, architecture artifacts, and knowledge-sharing materials.
• Support production deployments, operational readiness, and post-deployment activities.
• Collaborate within a pod-based delivery model, taking accountability for delivery outcomes and business value.
• Troubleshoot application issues and drive continuous improvement initiatives.

Skills

Java

Spring Boot

REST APIs

Microservices

Python

AI / ML

Generative AI

React

Angular

JavaScript

TypeScript

CI/CD

Jenkins

GitHub Actions

Azure

AWS

GCP

Docker

Kubernetes

LLMs

Tools

Docker

Kubernetes

Git

CI/CD tools

Jenkins

Azure DevOps

LangChain

FAISS

ChromaDB

Pinecone

FastAPI

OpenAI API

Job description

• 
  

  Project Description:

  
  

  We are seeking a highly skilled Full Stack AI Engineer to design, develop, and maintain AI-enabled applications and intelligent agents that drive business automation and enhance user experiences. The role involves building scalable Java-based backend services, modern frontend applications, AI/GenAI capabilities using Python, and robust CI/CD pipelines. The candidate will work within a pod-based agile delivery model and take ownership of end-to-end solution delivery, quality, and operational readiness.

  
  


• 
  

  Responsibilities:

  
  
  
  
  • Design, develop, and maintain AI-enabled applications, intelligent agents, and enterprise solutions.
  
  
  • Develop scalable Java-based backend services, APIs, and microservices.
  
  
  • Build responsive and intuitive frontend applications and user experiences.
  
  
  • Implement AI, Machine Learning, and Generative AI capabilities using Python and related frameworks.
  
  
  • Integrate Large Language Models (LLMs), AI agents, and conversational AI solutions into business applications.
  
  
  • Develop and execute automated testing strategies and promote shift-left quality practices.
  
  
  • Build, manage, and optimize CI/CD pipelines to support automated deployments.
  
  
  • Produce technical documentation, architecture artifacts, and knowledge-sharing materials.
  
  
  • Support production deployments, operational readiness, and post-deployment activities.
  
  
  • Collaborate within a pod-based delivery model, taking accountability for delivery outcomes and business value.
  
  
  • Troubleshoot application issues and drive continuous improvement initiatives.
  
  
  
  


• 
  

  Mandatory Skills Description:

  
  
  
  
  • 7+ years of experience in Full Stack Application Development.
  
  
  • Strong experience in Java, Spring Boot, REST APIs, and Microservices architecture.
  
  
  • Proven expertise in Python development for AI/ML and Generative AI solutions.
  
  
  • Experience building AI-enabled applications, chatbots, AI agents, or LLM-based solutions.
  
  
  • Strong frontend development experience using React, Angular, JavaScript, or TypeScript.
  
  
  • Experience with CI/CD tools such as Jenkins, GitHub Actions, Azure DevOps, or similar platforms.
  
  
  • Strong understanding of automated testing frameworks and quality engineering practices.
  
  
  • Experience with cloud platforms such as Azure, AWS, or GCP.
  
  
  • Familiarity with containerization technologies such as Docker and Kubernetes.
  
  
  • Excellent problem-solving, collaboration, and communication skills.
  
  
  • Experience working in Agile/Scrum or pod-based delivery environments.
  
  
  
  

  Generative AI & LLMs:

  
  
  
  
  • OpenAI / Azure OpenAI APIs
  
  
  • Prompt Engineering
  
  
  • RAG (Retrieval Augmented Generation)
  
  
  • LangChain / LangGraph
  
  
  • AI Agents
  
  
  • Vector Databases (FAISS, ChromaDB, Pinecone anyone they can learn and come)
  
  
  • FastAPI-based AI services
  
  
  • LLM Evaluation and Testing
  
  
  
  


• 
  

  Nice-to-Have Skills Description:

  
  

  React, Azure, AWS, Power BI, automation tools such as PowerApps, Power Automate.