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Senior Software Engineer (Java FullStack + Agentic Ai)

Posted June 23, 2026
Full-time Associate

Job Overview

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

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