Senior Software Engineer (Java Full Stack + Agentic AI) | Bengaluru , Hyderabad Apply Now
DigitalXNode
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Job summary
DigitalXNode in Bengaluru invites a Senior Software Engineer (Java Full Stack + Agentic AI) to build enterprise applications with Java, Spring Boot, React, AWS, and AI agents.
You will design scalable microservices, integrate LLMs, and work with cross-functional teams to deliver secure, high-performance solutions.
The role emphasizes cloud-native development, AI workflows, and modern DevOps practices within an exciting AI-driven product environment.
Qualifications
- Proven experience building enterprise-scale full-stack applications.
Responsibilities
- 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.
- Collaborate with AI specialists, product managers, data scientists, and cloud architects to deliver AI-powered enterprise solutions.
Skills
Education
Tools
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.
In this role, you will collaborate with software engineers, AI specialists, product managers, data scientists, and cloud architects to design intelligent applications that leverage Generative AI, multi-agent systems, workflow orchestration, and event-driven architectures. You will contribute to enterprise modernization initiatives while building secure, scalable, and high-performance software solutions.
This position provides an exciting opportunity to work with cutting-edge AI technologies, cloud platforms, autonomous AI agents, and enterprise software development practices.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- RESTful API Development
- Webhook Integrations
- Microservices Architecture
- Event-Driven Systems
- Distributed Systems Design
- Amazon Web Services (AWS)
- EC2
- Lambda
- Amazon S3
- API Gateway
- Amazon Cognito
- EventBridge
- Amazon SQS
- Amazon SNS
- Autonomous AI Agents
- Multi-Agent Systems
- AI Workflow Orchestration
- State Management
- Tool Calling
- Human-in-the-Loop Systems
- AI Decision Automation
- AWS Bedrock
- OpenAI
- Anthropic Claude
- Large Language Models (LLMs)
- Prompt Engineering
- Function Calling
- Structured Output Parsing
- AI Evaluation Frameworks
- PostgreSQL
- MySQL
- SQL Optimization
- Database Design
- Data Modeling
- Git
- GitHub
- Docker
- Kubernetes
- CI/CD Pipelines
- Maven
- Gradle
- 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.
- 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.
- Java
- JavaScript
- TypeScript
- SQL
- Spring Boot
- Spring Framework
- Hibernate
- React.js
- AWS Bedrock
- OpenAI
- Anthropic Claude
- LangChain
- LangGraph
- Agentic AI
- LLMs
- Prompt Engineering
- AWS EC2
- Lambda
- S3
- API Gateway
- EventBridge
- Amazon Cognito
- Amazon SQS
- Amazon SNS
- PostgreSQL
- MySQL
- Docker
- Kubernetes
- Git
- GitHub
- Maven
- Gradle
- CI/CD
- Kafka
- Amazon SQS
- Amazon SNS
- 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.
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