Senior Java Full-Stack Tech Lead for AI & Cloud Innovation

Artifintech; Dallas (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

Artifintech in Dallas, TX seeks a hands-on Technical Lead for enterprise Java applications. You will design, develop, and deliver Spring Boot microservices, REST/SOAP integrations, and cloud solutions on Azure/AWS.

Leading teams, shaping architecture, and driving end-to-end delivery, you will apply GenAI/LLM capabilities, implement RAG solutions, and guide best practices in security and performance. Strong communication and ownership are essential.

Qualifications

• 10+ years of hands-on Java/J2EE development experience.
• Strong expertise in Spring Boot, Spring MVC and Microservices.
• Experience building REST/SOAP services for enterprise apps.
• Frontend experience with Angular/ReactJS is a plus.
• GenAI/LLM integration and AI agent development experience.

Responsibilities

• Design, develop, and maintain enterprise Java apps with Spring Boot and Microservices.
• Build and integrate REST APIs and third-party services.
• Develop frontend apps using Angular/ReactJS.
• Design cloud solutions on Azure/AWS.
• Lead GenAI/LLM-powered apps, RAG, and AI agents.
• Lead technical design, development, testing, and end-to-end delivery.
• Ensure performance, security, and code quality.
• Demonstrate ownership and drive delivery with minimal guidance.

Skills

Java/J2EE development

Spring Boot

Spring MVC

Spring Security

Microservices

REST APIs

SOAP services

Angular/ReactJS

TypeScript

Cloud (Azure/AWS)

Git/Maven/Jenkins

JUnit/Mockito

Agile/Scrum

GenAI/LLM integration

Agentic AI development

OpenAI/Spring AI/LangChain4j/RAG/PE

Tools

Azure

AWS

Git

Maven

Jenkins

Docker

Kubernetes

Kafka

GraphQL

LangChain4j/OpenAI

Spring AI

RAG

Prompt Engineering

Job description

Artifintech in Dallas, TX seeks a hands-on Technical Lead for enterprise Java applications. You will design, develop, and deliver Spring Boot microservices, REST/SOAP integrations, and cloud solutions on Azure/AWS.

Leading teams, shaping architecture, and driving end-to-end delivery, you will apply GenAI/LLM capabilities, implement RAG solutions, and guide best practices in security and performance. Strong communication and ownership are essential.