WF_Finance Tech_ GenAI_JavaMS

Role Name: WF_Finance Tech_ GenAI_JavaMS
Location: Charlotte

Design, build, and maintain enterprise-grade GenAI-powered backend services using Java (Spring Boot) and cloud-native architectures
Develop RESTful and event-driven APIs using Spring Boot, Spring WebFlux, and Kafka/streaming platforms
Implement GenAI use cases such as:
Conversational assistants and copilots integrated into enterprise systems
Retrieval-Augmented Generation (RAG) pipelines for knowledge-driven applications
Agent-based automation for workflow execution and decision support
Integrate LLM services (Azure OpenAI, OpenAI, Anthropic, etc.) into Java-based microservices using secure, scalable patterns

LLM Orchestration & Workflow Engineering
Build and orchestrate multi-step GenAI workflows using:
LangChain (via Java/Python interoperability or service-based architecture)
Custom Java-based orchestration layers and state machines
Design and manage:
Tool calling and agent execution frameworks
Context, memory, and prompt lifecycle management
Conditional routing, fallback logic, retries, and resilience mechanisms
Ensure workflows are robust, observable, and production-ready at scale

Cloud-Native & DevOps Engineering
Develop and deploy services on cloud platforms (Azure preferred) using:
Containers (Docker) and orchestration (Kubernetes / AKS)
Managed cloud services for AI, messaging, storage, and security
Build and maintain CI/CD pipelines using tools such as:
GitHub Actions / Azure DevOps / Jenkins
Automated build, test, security scan, and deployment stages
Apply Infrastructure as Code principles using Terraform, Bicep, or ARM templates
Ensure high availability, scalability, and cost efficiency of GenAI services

Engineering Excellence & Governance
Write clean, maintainable, and testable Java code adhering to SOLID and clean architecture principles
Implement:
Unit, integration, and contract tests
API and workflow-level automated testing
Monitor and enforce:
Code quality, security, and compliance standards
Logging, metrics, and distributed tracing for GenAI services
Participate in code reviews, design discussions, and architecture governance

Required Qualifications
Core Engineering Skills
5 to 8 years of professional software engineering experience
Strong expertise in Java, with hands-on experience in Spring Boot / Spring Cloud
Experience building and operating cloud-native microservices