Senior Software Engineer (Java Full Stack + Agentic AI) | Bengaluru , Hyderabad Apply Now

DigitalXNode; Bengaluru; On-site; INR 4,200,000 - 6,000,000; Full time

Job summary

DigitalXNode is seeking a highly skilled Senior Software Engineer to build next-generation enterprise applications using Java, Spring Boot, React, and AWS. You will implement cloud-native microservices, AI-powered automation, and integrations with Large Language Models to enhance enterprise workflows.

The role emphasizes scalable full‑stack development, secure APIs, and collaboration with cross-functional teams to deliver AI-driven solutions at scale.

Qualifications

• Strong experience with full-stack development in enterprise-grade apps.
• Proficiency in Java, Spring, React, and AWS cloud services.
• Experience integrating AI/LLMs and autonomous agents into platforms.

Responsibilities

• Develop enterprise web applications using Java/Spring Boot and React.js.
• Build scalable backend services and microservices in a cloud-native environment.
• Design secure RESTful APIs and maintain performance across distributed systems.
• Collaborate with DevOps to automate deployments and monitoring.

Skills

Java (11+)

Spring Boot

Spring Framework

Hibernate

React.js

JavaScript (ES6+)

TypeScript

HTML5

CSS3

RESTful APIs

Microservices

AWS

Agentic AI

LLMs

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

Kubernetes

GitHub

Job description

We are looking for a highly skilled Senior Software Engineer (Java Full Stack + Agentic AI) to develop next-generation enterprise applications powered by Java, Spring Boot, React, AWS Cloud, and Agentic AI technologies. The ideal candidate will have extensive experience building scalable full-stack applications, cloud-native microservices, and AI-powered automation solutions while integrating Large Language Models (LLMs) and autonomous AI agents into enterprise platforms.

Key Responsibilities

Full Stack Application Development

• Design, develop, and maintain enterprise-grade web applications using Java, Spring Boot, Hibernate, React.js, JavaScript, and TypeScript.
• Develop scalable backend services and modern frontend applications following microservices architecture.
• Build reusable UI components and responsive user interfaces with React.js.
• Design secure, high-performance RESTful APIs and backend services.
• Optimize application performance, scalability, and maintainability across distributed systems.

Cloud-Native Engineering

• Deploy and manage applications using AWS cloud services.
• Build cloud-native applications utilizing EC2, Lambda, S3, API Gateway, EventBridge, Cognito, Amazon SQS, and Amazon SNS.
• Develop highly available and resilient enterprise applications.
• Collaborate with DevOps teams to automate deployments and infrastructure management.
• Support CI/CD pipelines and cloud-based application monitoring.

Agentic AI Development

• Design and implement intelligent AI agents capable of autonomous planning, reasoning, and multi-step task execution.
• Build agent orchestration workflows supporting state management, tool execution, retry mechanisms, and exception handling.
• Develop multi-agent systems capable of collaborating across enterprise workflows.
• Implement human-in-the-loop workflows with approval mechanisms and confidence-based decision routing.
• Optimize AI agent performance, reliability, and operational efficiency.

Generative AI Integration

• Integrate applications with foundation models including AWS Bedrock, OpenAI, Anthropic Claude, and other enterprise LLM platforms.
• Design prompt engineering strategies for reliable AI interactions.
• Build function-calling interfaces allowing AI agents to interact with enterprise APIs, databases, knowledge bases, and external services.
• Implement structured output parsing and intelligent workflow automation.
• Evaluate AI model performance and continuously improve response quality.

Event-Driven Architecture

• Develop scalable event-driven applications using asynchronous messaging platforms.
• Implement messaging workflows using Kafka, Amazon SQS, Amazon SNS, and EventBridge.
• Design distributed communication between enterprise services and AI agents.
• Build fault-tolerant architectures supporting enterprise-scale workloads.
• Optimize workflow orchestration for high-performance applications.

Collaboration & Engineering Excellence

• Work closely with Product Managers, Data Scientists, QA Engineers, and Cloud Architects to deliver AI-powered enterprise solutions.
• Participate in architecture reviews, technical discussions, and code reviews.
• Mentor junior developers and promote engineering best practices.
• Contribute to AI-assisted software development using GitHub Copilot, Kiro, Cursor AI, or similar development tools.
• Maintain technical documentation and support continuous improvement initiatives.

Required Skills

Full Stack Development

• Strong expertise in:
• Java (11+)
• Spring Boot
• Spring Framework
• Hibernate
• JPA
• React.js
• JavaScript (ES6+)
• TypeScript
• HTML5
• CSS3
• Experience building enterprise-scale full-stack applications.
• Strong understanding of Object-Oriented Programming and design patterns.

Backend & APIs

• RESTful API Development
• Webhook Integrations
• Microservices Architecture
• Event-Driven Systems
• Distributed Systems Design

Cloud Technologies

• Amazon Web Services (AWS)
• EC2
• Lambda
• Amazon S3
• API Gateway
• Amazon Cognito
• EventBridge
• Amazon SQS
• Amazon SNS

Agentic AI

• Autonomous AI Agents
• Multi-Agent Systems
• AI Workflow Orchestration
• State Management
• Tool Calling
• Human-in-the-Loop Systems
• AI Decision Automation

Generative AI

• AWS Bedrock
• OpenAI
• Anthropic Claude
• Large Language Models (LLMs)
• Prompt Engineering
• Function Calling
• Structured Output Parsing
• AI Evaluation Frameworks

Databases

• PostgreSQL
• MySQL
• SQL Optimization
• Database DesignData Modeling

DevOps & Deployment

• Git
• GitHub
• Docker
• Kubernetes
• CI/CD Pipelines
• Maven
• Gradle

Professional Skills

• Strong analytical and problem-solving abilities.
• Excellent communication and collaboration skills.
• Ability to mentor technical teams.
• Strong understanding of Agile and Scrum methodologies.
• Commitment to engineering excellence and continuous learning.

Preferred Skills

• Experience with LangChain, LangGraph, CrewAI, AutoGen, or Semantic Kernel.
• Knowledge of Retrieval-Augmented Generation (RAG) architectures.
• Experience with Vector Databases such as Pinecone, Weaviate, ChromaDB, or Milvus.
• Familiarity with Terraform or Infrastructure as Code (IaC).
• Experience with monitoring tools including CloudWatch, Prometheus, Grafana, or ELK Stack.
• Knowledge of AI observability, governance, and responsible AI practices.
• Exposure to enterprise automation platforms and intelligent workflow solutions.

Technologies & Tools

Programming

• Java
• JavaScript
• TypeScript
• SQL

Frameworks

• Spring Boot
• Spring Framework
• Hibernate
• React.js

AI Technologies

• AWS Bedrock
• OpenAI
• Anthropic Claude
• LangChain
• LangGraph
• Agentic AI
• LLMs
• Prompt Engineering

Cloud

• AWS EC2
• Lambda
• S3
• API Gateway
• EventBridge
• Amazon Cognito
• Amazon SQS
• Amazon SNS

Databases

• PostgreSQL
• MySQL

DevOps

• Docker
• Kubernetes
• Git
• GitHub
• Maven
• Gradle
• CI/CD

Messaging

• Kafka
• Amazon SQS
• Amazon SNS

Education

• Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, Software Engineering, Electronics, or a related discipline.
• B.Tech / BE / BCA / B.Sc. (Computer Science or IT) preferred.
• MCA, M.Tech, M.Sc. (Computer Science, Artificial Intelligence, Data Science), or equivalent qualifications are preferred.