Java Full Stack Developer (LLM &AI)

We are currently hiring for a Java Fullstack Developer role at Altisource and wanted to share this exciting opportunity with you. We are seeking professionals who are passionate about backend development, cloud technologies, and next-generation AI-powered solutions.

This role offers an opportunity to work on scalable enterprise applications while contributing to the development of intelligent, autonomous AI systems that leverage Generative AI and Agentic AI frameworks.

About the Opportunity

• Role: Java Fullstack Developer
• Location: Remote
• Experience: 2-4 Years
• Employment Type: Full-Time

Key Responsibilities:

Backend & Cloud Development

• Design, develop, and maintain scalable backend applications using Java, Spring Boot, and Hibernate/JPA.
• Build and integrate RESTful APIs, microservices, and event-driven applications.
• Deploy, manage, and optimize applications on AWS Cloud infrastructure.
• Ensure code quality, performance optimization, security, and adherence to development best practices.

Agentic AI & Generative AI Development

• Design and implement intelligent AI agent workflows capable of planning, reasoning, and executing multi-step tasks autonomously.

• Develop agent orchestration mechanisms, including state management, retry logic, exception handling, and multi-agent collaboration.

• Integrate applications with foundation model platforms such as AWS Bedrock, OpenAI, Anthropic, or similar LLM services.

• Build tool-calling and function-calling capabilities that enable AI agents to interact with APIs, databases, document repositories, and external systems.

• Implement human-in-the-loop workflows, approval mechanisms, and escalation paths for AI-driven decision-making.

• Develop event-driven architectures using services such as SQS, SNS, EventBridge, or Kafka to support asynchronous agent communication and orchestration.

Collaboration & Innovation

• Work closely with Product, Data Science, Engineering, and QA teams to deliver innovative AI-powered solutions.
• Participate in prompt engineering, model evaluation, and agent behavior optimization activities.
• Leverage AI-assisted development tools such as GitHub Copilot, Kiro, or similar platforms to enhance development efficiency.