
Excelian
Actively Hiring
Provides custom software development and IT consulting services globally
Senior Full Stack Java Engineer / AI
- |8 years of exp
- |Full Time
Posted: 1 week ago• Recruiter recently active
Job Location
Remote Work Policy
In office
Visa Sponsorship
Not Available
RelocationAllowed
Skills
Java
Distributed Systems
DevOps
IBM MQ
Jenkins
Automated Testing
API Design
REST APIs
Release Management
Kafka
System Integration
Docker
Microservices
Spring Boot
Kubernetes
Azure Service Bus
Azure Functions
Deployment Automation
Azure DevOps
Gitlab CI/CD
Azure Event Grid
Cloud-Native Architecture
AI Governance
Workflow Orchestration
AI Security
Prompt Engineering
GitHub Copilot
RAG
AI Agents
Semantic Kernel
Microsoft Azure Services
Responsible AI Practices
LangChain4j
Spring AI
Cursor
GitLab Duo
Containerized Deployments
Enterprise Application Architecture
Event-Driven Integration Patterns
Windsurf
AI Observability
MCP (Model Context Protocol)
Agent-Based Architectures
Tool Calling
Banking Integration
Enterprise Platforms Integration
Loan IQ Integration
AI for Code Generation
Generative AI for Documentation
Agentic Software Engineering
AI for Incident Analysis
Lending Integration
AI for Automated Testing
AI for Code Reviews
AI for Documentation Generation
AI for Troubleshooting
AI for Developer Productivity Automation
Generative AI for Coding
Generative AI for Testing
Generative AI for Debugging
Generative AI for Engineering Productivity Improvements
About the job
Project Description:
- As a Senior Full Stack Java Engineer within the US Corporate Loans POD, you will design, develop, and deliver enterprise integration solutions connecting Loan IQ with upstream and downstream platforms. You will leverage modern cloud-native technologies, AI-assisted development tools, and Agentic AI practices to improve software quality, scalability, and delivery velocity.
- A key expectation of this role is hands-on experience building AI agents and intelligent engineering solutions that automate and enhance Software Development Lifecycle (SDLC) processes, improving developer productivity and accelerating delivery outcomes.
Responsibilities:
- Design and develop REST APIs, event-driven integrations, and messaging interfaces.
- Build and maintain integrations between Loan IQ and enterprise applications.
- Design and implement AI-powered agents and workflows that improve SDLC processes and engineering productivity.
- Leverage AI-assisted development tools to accelerate coding, testing, debugging, code reviews, and documentation.
- Collaborate with QA, Business Analysts, Product Owners, and Architects to deliver end-to-end solutions.
- Conduct code reviews and promote engineering, integration, and cloud best practices.
- Contribute to CI/CD automation, release management, and deployment processes.
- Design and implement cloud-native integration solutions using Azure services and serverless technologies.
- Troubleshoot production issues and optimize application and integration performance.
Mandatory Skills Description:
Core Engineering
- 8+ years of software engineering experience, ideally within Financial Services.
- Strong expertise in Java, Spring Boot, REST APIs, and distributed systems.
- Experience with Kafka, IBM MQ, or similar messaging technologies.
- Strong integration experience with Loan IQ, lending, banking, or enterprise platforms.
- Deep understanding of API design, system integration, and enterprise application architecture.
Agentic AI & Software Engineering
- Experience building AI Agents and Agentic Software Engineering solutions to automate and enhance SDLC processes.
- Hands-on experience with Java-based AI frameworks such as Spring AI, LangChain4j, Semantic Kernel, MCP (Model Context Protocol), or similar technologies.
- Experience implementing RAG, prompt engineering, tool calling, workflow orchestration, and agent-based architectures.
- Experience applying AI to:
o Code generation
o Automated testing
o Code reviews
o Documentation generation
o Troubleshooting and incident analysis
o Developer productivity automation
- Strong understanding of AI governance, security, observability, and responsible AI practices.
Cloud & Architecture
- Hands-on experience with Microsoft Azure services.
- Experience building serverless solutions using Azure Functions.
- Strong understanding of cloud-native architecture, microservices, and event-driven integration patterns.
- Experience with Azure Service Bus, Event Grid, or similar cloud messaging platforms.
- Familiarity with Azure OpenAI and AI-enabled cloud architectures is highly desirable.
AI-Assisted Development
- Hands-on experience with AI-assisted development tools such as GitHub Copilot, GitLab Duo, Cursor, Windsurf, or similar platforms.
- Experience leveraging Generative AI for coding, testing, debugging, documentation, and engineering productivity improvements.
- Ability to apply AI tools responsibly while maintaining governance, compliance, security, and quality standards.
DevOps & Tooling
- Experience with GitLab CI/CD, Jenkins, Azure DevOps, or similar CI/CD platforms.
- Experience with Docker, Kubernetes, and containerized deployments.
- Strong understanding of DevOps, automated testing, release management, and deployment automation.
Nice-to-Have Skills Description:
- Experience in Commercial Lending, Loan Servicing, Corporate Banking, or Capital Markets.
- Azure certifications or relevant cloud certifications.
- Experience building enterprise AI applications, copilots, or agentic solutions.
- Passion for modern software engineering, AI innovation, and platform modernization.
About the company

Excelian
Actively Hiring
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