Software Engineer

The Software Engineer will develop AI-enabled features for SaaS applications, focusing on both frontend and backend development, utilizing AI tools and methodologies, and collaborating with teams to enhance productivity and software quality., 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., * 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.

Bachelor', * Demonstrated curiosity, willingness to learn, and interest in experimenting with new technologies and development approaches.

• Solid understanding of software engineering fundamentals, including data structures, algorithms, and object-oriented design.
• Demonstrated experience using AI coding agents (e.g., GitHub Copilot, Amazon Q, Kiro, Cursor, Claude Code, OpenAI-based agents) to accelerate software design, development, refactoring, testing, and documentation.
• Experience developing full-stack web applications through coursework, internships, or academic projects.
• Proficiency with at least one modern front-end framework and one backend framework.
• Familiarity with version control systems (Git) and basic testing practices.
• Bachelor's degree in Computer Science or a related technical discipline.

Preferred Qualifications

• Cloud Platform (AWS) Experience: Hands-on experience building and deploying applications on Amazon Web Services (AWS) in production environments, including familiarity with core AWS services, including EC2, S3, RDS/Aurora, DynamoDB, Lambda, API Gateway, and IAM.
• Experience with containerization and local development environments (e.g. Docker, ECS, Fargate)
• Hands-on experience designing, querying, and optimizing relational databases (e.g., PostgreSQL, MySQL, SQL Server, Oracle), including schema design, indexing strategies, and query performance tuning and/or NoSQL databases and/or vector databases to support semantic search, embeddings, and RAG-based AI applications.
• Experience validating, reviewing, and hardening AI-generated code, with a strong understanding of correctness, security, performance, and maintainability trade-offs.
• Familiarity with prompt engineering and task decomposition techniques to effectively guide AI agents across multi-step engineering tasks.
• Ability to integrate AI agents into existing SDLC / CI-CD pipelines, development environments, and version-control workflows.
• Master's degree in Computer Science (completed or in progress).

s Degree

• Provides hands-on experience working on production SaaS systems early in your career.
• Offers structured mentorship and collaboration with experienced engineers.
• Encourages adoption of AI-assisted development practices within a strong engineering foundation.
• Balances learning with ownership, enabling meaningful technical growth while delivering real customer value.

What Success Looks Like

• Delivers well-tested, production-ready software contributions aligned with sprint and release commitments.
• Demonstrates responsible and effective use of AI coding agents to improve development efficiency.
• Continuously improves personal technical skills and contributes positively to team standards and practices.

Additional perks:

• Competitive salaries
• 401k plans with company matching
• Comprehensive Medical, Dental, and Vision insurance plans
• Tax-free Flexible Spending Account
• Life insurance, short-term, and long-term disability
• Paid holidays, plus 19 days of accrued PTO for a total of 28 paid days off per year!

Altisource is an integrated service provider and marketplace for the real estate and mortgage industries. Combining operational excellence with a suite of innovative SaaS products, technologies, and services, Altisource helps solve the demands of an ever-changing market. Additional information is available at altisource.com.