Senior Software Engineer - Agentic AI/Gen AI/GitHub Copilot

The Home Lending Technology organization is responsible for developing and maintaining innovative solutions that streamline the home lending process. This team focuses on the development and support of origination and fulfillment platforms for Home Lending, with an emphasis on enhancing user experience, improving operational efficiency, reducing risk, and delivering seamless and efficient home loan experience for both customers and internal partners.

In this role, you will design, build, test, and support UI as well as Java based backend services, REST APIs, and microservices used across Home Lending servicing platforms. You will have opportunity to work on an application with complex integration, cloud native Microservices, including Agentic AI based workflow. You will strengthen core development skills in Java, Spring Boot, and database technologies, apply analytical thinking to solve technical problems, and gain experience working across both legacy and modern application stacks.

You will have opportunities to learn event driven architecture concepts (Kafka/PubSub), contribute to UI enhancements using Angular or React, and participate in cloud aligned development as applications evolve within Consumer Lending’s technology ecosystem.

This role is ideal for developers with strong curiosity, a willingness to challenge themselves to solve real business/technical problems, and a passion for building real production grade solutions that support critical Home Lending workflows.

Technical Focus Across All Roles

All hires must possess:

• Spring Boot and Microservices experience
• Ability to leverage AI tools while actively coding
• Experience using or building solutions with:
• Gemini
• Agentic AI frameworks

Mortgage origination experience is highly desirable.

• Looking for AI certifications, especially:
• Google AI certifications
• Agentic AI certifications
• Developer-focused AI credentials

In this role, you will:

• Participate in low to moderately complex initiatives and projects associated with the technology domain, including installation, upgrades, and deployment efforts
• Identify opportunities for service quality and availability improvements within the technology domain environment
• Design, code, test, debug, and document for low to moderately complex projects and programs associated with technology domain, including upgrades and deployments
• Review and analyze technical assignments or challenges that are related to low to medium risk deliverables and that require research, evaluation, and selection of alternative technology domains
• Present recommendations for resolving issues or may elevate issues as needed to meet established service level agreements
• Exercise some independent judgment while also developing understanding of given technology domain in reference to security and compliance requirements
• Provide information to technology colleagues, internal partners, and stakeholders
• Design, code, test, debug, and document features and bug fixes using Java and Spring Boot
• Build and consume RESTful APIs supporting microservices and transaction workflows
• Learn and apply engineering standards, secure SDLC practices, and API design best practices
• Apply database skills (SQL/NoSQL) to write queries, validate data flows, troubleshoot data issues, and support application logic.
• Use AI assisted development tools such as GitHub Copilot to accelerate coding, generate test cases, and explore solution alternatives.
• Build Agents using Gen AI and Agentic AI technologies
• Collaborate with other engineers and cross functional partners in Home Lending Technology to support delivery goals and solution design.
• Gain exposure to event driven architecture concepts (Kafka, Pub Sub) and learn how messaging patterns support distributed systems.
• Contribute to frontend or UI tasks using Angular or React when opportunities arise, helping develop or update internal user interfaces.
• Participate in Agile ceremonies, including standups, retros, sprint planning, and code reviews, while incorporating feedback from mentors.
• Learn cloud ready development concepts for Java applications deployed on internal or cloud platforms
• Contribute to Generative AI features (LLM enabled workflows such as summarization, extraction, and assistant experiences) under guidance