Full Stack Engineer

Luxoft India; Bengaluru; Sur place; INR 4 000 000 - 7 000 000; Plein temps

Résumé du poste

Luxoft India seeks a highly skilled Full Stack AI Engineer to design, develop, and maintain AI-enabled applications and intelligent agents that drive 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.

You will work within a pod-based agile delivery model and take ownership of end-to-end solution delivery, quality, and operational readiness,

Qualifications

• 7+ years of experience in Full Stack Development with a focus on AI-enabled apps.
• Solid expertise in Java, Spring Boot, REST APIs and microservices.
• Proven Python development experience for AI/ML and GenAI solutions.
• Experience building AI-enabled apps, chatbots, AI agents, or LLM-based solutions.
• Strong CI/CD experience (Jenkins, GitHub Actions, Azure DevOps).
• Cloud exposure (Azure, AWS, GCP) and containerization (Docker, Kubernetes).
• Familiarity with Agile/Scrum or pod-based delivery environments.
• Knowledge of Prompt Engineering, RAG, LangChain/LangGraph, AI agents and vector DBs.

Responsabilités

• Design, develop, and maintain AI-enabled applications and agents.
• Build scalable Java backend services, APIs, and microservices.
• Develop modern frontend applications and user interfaces.
• Implement AI/GenAI capabilities using Python and related frameworks.
• Integrate LLMs and AI agents into business apps.
• Develop automated testing strategies and promote shift-left quality.
• Build and optimize CI/CD pipelines for automated deployments.
• Produce architecture artifacts and documentation.
• Support production deployments and post-deployment activities.
• Collaborate in a pod-based delivery model and ensure delivery outcomes.

Connaissances

7+ years experience

Java

Spring Boot

REST APIs

Microservices

Python AI/ML

AI agents

LLMs

GenAI

CI/CD

Jenkins

GitHub Actions

Azure DevOps

Azure

AWS

GCP

Docker

Kubernetes

Agile/Scrum

Pod-based delivery

Prompt Engineering

RAG

LangChain

LangGraph

AI Agents

Vector databases

Outils

Java

Spring Boot

REST APIs

Microservices

Python

Jenkins

GitHub Actions

Azure DevOps

Azure

AWS

GCP

Docker

Kubernetes

LangChain

LangGraph

FAISS

ChromaDB

Pinecone

Description du poste

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.

Skills

Must have

• 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.
• 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:
• Prompt Engineering
• RAG (Retrieval Augmented Generation)
• LangChain / LangGraph
• AI Agents
• Vector Databases (FAISS, ChromaDB, Pinecone anyone they can learn and come)