Core Java Full Stack Engineer (SDET / AI-Enabled) - Rishika

Charlotte, NC, US • Posted 23 hours ago • Updated 11 hours ago
Contract W2
On-site
$38.75 - $43.66/hr
Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Job Details

Skills

  • Agile
  • Embedded Systems
  • Banking
  • Workflow
  • Decision Support
  • Customer Facing
  • Mortgage Servicing
  • Mortgage
  • API
  • Underwriting
  • Java
  • Spring Framework
  • Microservices
  • JSON
  • XML
  • AngularJS
  • React.js
  • FOCUS
  • Backend Development
  • UI
  • Artificial Intelligence
  • Training
  • Python
  • Prompt Engineering
  • Large Language Models (LLMs)

Summary

Job Title: Core Java Full Stack Engineer
Job Location: Charlotte NC 28282
Job Duration: 12- 18 Months Contract to Hire

Overview:
  • Primary focus: Mortgage servicing + underwriting applications
  • Team structure: Agile, embedded within large enterprise banking platform

Key Responsibilities:
  • Preventing foreclosure / supporting loan retention
  • Mortgage servicing workflows
  • Loan underwriting decision support
  • Customer-facing mortgage data applications

Technical ecosystem:
  • UI application layer (web-based mortgage servicing tools)
  • Backend services powering mortgage decisioning engines
  • API layer connecting underwriting + servicing systems

Required Technical Skills:
Backend Development
  • Java / Backend (core focus)
  • Java (core development)
  • Spring Boot
  • REST APIs / microservices
  • Backend service development
  • JSON / XML processing

Frontend / Full Stack expectation
  • Angular (preferred)
  • React (acceptable)
  • UI development exposure required (not purely backend)

Development Focus:
  • 70% Backend Development
  • 30% Frontend/UI Development

Experience Required:
  • Hands-on development experience required.
  • Not suitable for Entry Level Candidates.
  • 2+ years of relevant experience required

Nice to Have:
  • Exposure to Agentic AI or AI/LLM technologies.
  • AI certifications or training.
  • Python.
  • Prompt engineering.
  • Hands-on experience with Large Language Models (LLMs).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10105282
  • Position Id: 880907
  • Posted 23 hours ago
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