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Senior Software Engineer (Java FullStack + Agentic Ai)

  • Source: Naukri
  • Altisource
  • On-site
  • Bengaluru
  • Full-Time
  • Senior

Job Description

Job Description

We are looking for an experienced Java Developer with strong expertise in backend development, cloud
technologies, and emerging AI-powered automation. The ideal candidate will have hands-on experience
building scalable applications using Java, Spring Boot, and Hibernate, along with deep exposure to AWS
Cloud services and practical experience designing, developing, or integrating with Agentic AI systems
autonomous AI agents that plan, reason, and execute multi-step workflows with minimal human
intervention.

Core Development
Design, develop, and maintain robust backend applications using Java, Spring Boot, and Hibernate
Build and integrate RESTful APIs and event-driven services for seamless communication between
microservices and AI agents
Deploy and manage applications on AWS Cloud infrastructure
Ensure code quality, performance optimization, and adherence to best practices
Agentic AI Generative AI
Design and implement AI agent workflows building autonomous agents that can plan, execute multi-
step tasks, invoke tools, and handle exceptions without constant human oversight
Develop agent orchestration patterns manage agent-to-agent handovers, state persistence, retry
logic, and fallback strategies in multi-agent systems
Integrate with foundation model APIs (AWS Bedrock, OpenAI, or equivalent) for LLM-powered reasoning,
decision-making, and natural language understanding within agent pipelines
Build tool-use and function-calling interfaces that allow AI agents to interact with databases, APIs,
document stores, and external services
Implement human-in-the-loop patterns confidence thresholds, escalation triggers, and approval
workflows where agents defer to humans on low-confidence decisions
Develop event-driven agent architectures using message queues (SQS/SNS, EventBridge, or Kafka) for
async agent communication and workflow orchestration

Collaboration Quality
Collaborate with cross-functional teams (product, data science, QA) to deliver high-quality AI-powered
solutions
Participate in prompt engineering, agent behavior tuning, and accuracy evaluation
Contribute to AI-assisted development workflows using tools like Kiro, Copilot, or similar AI IDEs Qualifications

REQUIRED SKILLS EXPERIENCE

CATEGORY REQUIREMENT

  • Experience - 4 6 years of professional experience in backend/full-stack development
  • Core Backend - Strong proficiency in Java (11+), Spring Boot, and Hibernate/JPA
  • APIs - Hands-on experience designing and integrating RESTful APIs and webhook-based integrations
  • Cloud (AWS) - Working knowledge of AWS services EC2, S3, Lambda, SQS/SNS, EventBridge,API Gateway, Cognito
  • Agentic AI - Experience building or integrating with autonomous AI agent systems multi-step workflows, tool-use patterns, agent orchestration, state management
  • Generative AI - Hands-on experience with LLM APIs (AWS Bedrock, OpenAI, Anthropic, orsimilar) prompt engineering, function calling, structured output parsing
  • Databases - Proficiency with relational databases (PostgreSQL, MySQL) schema design,query optimization
  • Architecture - Understanding of event-driven and microservices architecture patterns
  • Problem-Solving - Excellent analytical, problem-solving, and communication skills

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

Skills

  • Java
  • spring
  • spring-boot
  • Hibernate
  • amazon-web-services
  • bedrock
  • amazon-eventbridge
  • Kafka
  • amazon-ec2
  • amazon-s3
  • aws-lambda
  • amazon-sqs
  • amazon-sns
  • amazon-api-gateway
  • amazon-cognito
  • PostgreSQL
  • mysql

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