AI Engineer (Full Stack Java)

Doran Jones Inc. • Dallas, TX

5d

About The Position

We are seeking an AI Engineer (Full Stack Java) to help build the next generation of AI-enabled healthcare applications as part of a major modernization of legacy systems.
This role will focus on building AI-powered user experiences and backend services that integrate machine learning, LLMs, and intelligent automation into modern healthcare workflows.
You will work across the full stack—from building Java-based backend services to developing modern React-based front-end applications, enabling AI-driven capabilities across the platform.

Requirements

• 5–8 years of professional software engineering experience
• Strong backend development experience with Java and Spring Boot
• Experience building microservices-based architectures
• Modern front-end experience with React
• Experience designing and consuming REST APIs
• Experience working in cloud environments (AWS, Azure, or GCP)
• Familiarity with AI/ML integrations, LLM APIs, or AI-powered features
• Experience working with modern DevOps and CI/CD practices
• Strong collaboration and communication skills in a distributed team

Nice To Haves

• Experience building AI-enabled products or intelligent applications
• Exposure to LLM platforms (OpenAI, LangChain, vector databases, RAG architectures)
• Experience in modernizing legacy enterprise systems
• Familiarity with healthcare systems or regulated environments
• Experience with event-driven architectures and distributed systems
• Experience working in Agile development environments

Responsibilities

• Design and build AI-enabled applications that enhance healthcare workflows and operational systems
• Develop backend services using Java and Spring Boot within a microservices architecture.
• Build modern React-based user interfaces that surface AI insights and automation.
• Integrate machine learning models, LLMs, and AI services into application workflows.
• Develop and maintain APIs and microservices supporting AI-driven features
• Collaborate with data engineers and ML engineers to integrate models into production systems.
• Participate in the modernization of legacy applications into scalable cloud-native services.
• Work across the stack to improve performance, scalability, and reliability
• Contribute to architectural decisions and engineering best practices.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1-10 employees