Software Engineer, Agentic Development

Role Overview

The Software Engineer, Agentic Development role has a dual mandate. 

• The initial focus is to contribute to the development of AI-enabled features across Altisource’s SaaS applications. This involves working with development teams and stakeholders to deliver reliable, scalable AI-first software solutions used across the mortgage and real estate servicing ecosystem.  This will include working on both frontend and backend components, applying sound engineering practices, and using AI coding agents as part of Altisource’s modern development workflow.
• The secondary focus of the Software Engineer, Agentic Development will be to contribute to an AI tools group, to apply learned best practices to a cross-functional framework that can be utilized by the broader organizations.

At Altisource, engineers are encouraged to experiment, ask questions, and continuously improve how we build software. This role operates in a safe, fail‑fast environment where thoughtful experimentation, rapid prototyping, and learning through iteration are supported and expected. Entry‑level engineers are trusted to contribute ideas, explore modern tools and techniques, and grow their technical judgment alongside experienced teammates.

Key Responsibilities

• Contribute to the design, development, and maintenance of features within Altisource’s SaaS platforms.
• Use AI coding agents to support development activities such as code generation, refactoring, testing, and documentation, while ensuring correctness, security, and maintainability.
• Implement user‑facing functionality using modern frontend technologies (React, Angular).
• Develop and maintain backend services and REST APIs using Node.js/Express and/or Java/Spring boot and relational/NoSQL/vector databases.
• Collaborate with product owners and other engineers to deliver end‑to‑end solutions.
• Participate in code reviews, defect resolution, and continuous improvement initiatives.

Engineering Culture & Innovation

• Experiment with new ideas, tools, and approaches—including AI‑assisted development workflows—to improve developer productivity and software quality.
• Prototype and validate solutions early, learning quickly from what works and what doesn’t.
• Share lessons learned from experiments and implementation
• Contribute to a culture where curiosity, constructive debate, and continuous learning are encouraged.