We are looking for a Software Development Engineer (Java) to help build and scale MCheck, our AI-native mortgage document intelligence platform. This role is for engineers who want to work on real product code, not just ticketsbuilding backend services, APIs, workflows, and data pipelines that power document classification, extraction, validation, and audit workflows at scale. You are expected to adopt an AI-first approach to software development, using modern AI tools to write, understand, debug, and improve code faster and better.
Responsibilities
Design, develop, and maintain Java-based backend services for the MCheck product.
Understand and implement end-to-end product workflows, including document ingestion, processing, validation, and audit events.
Debug and fix backend logic, API, configuration, and data issues across development and pre-production environments.
Write Java utilities or services to validate, transform, or analyse structured and semi-structured data.
Leverage LLMs and AI tools (e. g., GitHub Copilot, ChatGPT, and Cursor) to accelerate coding, debugging, refactoring, and test creation.
Participate in feature development, bug fixes, and technical improvements with guidance from senior engineers.
Analyse logs, traces, and metrics to identify root causes of defects or performance issues.
Collaborate closely with Product Managers, QA, ML engineers, and other developers to deliver features end-to-end.
Assist in UAT testing and validation to ensure feature readiness before release.
Write and maintain clear technical documentation for code, APIs, and workflows.
Follow engineering best practices for code quality, testing, and version control.
Continuously improve development efficiency by adopting AI-first workflows and automation.
Requirements
Strong fundamentals in Java programming and object-oriented design (OOP).
Basic understanding of backend development, including REST APIs and JSON.
Ability to debug code and analyse logs to identify and fix issues.
Familiarity with Git and version control workflows.
Experience through internships, academic projects, or hands-on coding in Java.
Understanding of basic testing and validation practices.
Comfort using AI-assisted development tools (e. g., GitHub Copilot, ChatGPT, Cursor) for coding and debugging.
Strong problem-solving and analytical thinking skills.
Clear written and verbal communication for explaining technical work.
Ability to quickly understand product workflows and system behaviour.
This job was posted by Jacqueline Lobo from Infrrd.