Senior Software Engineer

Altisource

14d

About The Position

Altisource is seeking an experienced UI and Front End Developer (React.js + Node.js) with strong backend development skills, cloud experience, and practical exposure to AI-powered automation. The role involves building scalable applications with Java, Spring Boot, and Hibernate, working with AWS services, and designing, developing, or integrating with autonomous AI agent systems that can plan and execute multi-step workflows. The engineer will develop and maintain backend applications, RESTful APIs, event-driven services, and cloud deployments. They will also build AI agent workflows and orchestration patterns, integrate foundation model APIs, enable agents to use tools and external services, and implement human-in-the-loop safeguards. The role includes collaborating with product, data science, and QA teams; evaluating agent behavior and accuracy; and contributing to AI-assisted development workflows.

Requirements

2–4 years of professional experience in backend or full-stack development.
Strong proficiency in Node.js, Java 11 or later, Spring Boot, and Hibernate/JPA.
Hands-on experience designing and integrating RESTful APIs and webhook-based integrations.
Working knowledge of AWS services, including EC2, S3, Lambda, SQS/SNS, EventBridge, API Gateway, and Cognito.
Experience building or integrating with autonomous AI agent systems, including multi-step workflows, tool-use patterns, agent orchestration, and state management.
Hands-on experience with LLM APIs such as AWS Bedrock, OpenAI, or Anthropic, including prompt engineering, function calling, and structured output parsing.
Proficiency with relational databases such as PostgreSQL and MySQL, including schema design and query optimization.
Understanding of event-driven and microservices architecture patterns.
Excellent analytical, problem-solving, and communication skills.

Responsibilities

Design, develop, and maintain backend applications using Java, Spring Boot, and Hibernate.
Build and integrate RESTful APIs and event-driven services for communication between microservices and AI agents.
Deploy and manage applications on AWS Cloud infrastructure.
Ensure code quality, optimize performance, and follow development best practices.
Design and implement autonomous AI agent workflows that plan and execute multi-step tasks, invoke tools, and handle exceptions.
Develop agent orchestration patterns, including agent handovers, state persistence, retry logic, and fallback strategies.
Integrate foundation model APIs for LLM-powered reasoning, decision-making, and natural language understanding.
Build tool-use and function-calling interfaces so agents can interact with databases, APIs, document stores, and external services.
Implement human-in-the-loop patterns, including confidence thresholds, escalation triggers, and approval workflows.
Develop event-driven agent architectures using message queues for asynchronous agent communication and workflow orchestration.
Collaborate with product, data science, and QA teams to deliver AI-powered solutions.
Participate in prompt engineering, agent behavior tuning, and accuracy evaluation.
Contribute to AI-assisted development workflows using tools such as Kiro, Copilot, or similar AI IDEs.