Doran Jones Inc.Remote
AI Engineer (Full Stack Java)
United States of America
Full Time
3 hours ago
H1B Sponsor Likely
Key skills
JavaSpring BootMicroservicesReactREST APIsCloud environmentsAI/ML integrationsDevOps practicesCollaboration skillsAIMachine LearningMLLLMOpenAIRAGLangChainSpringAWSAzureGCPAgileCI/CDCommunicationCollaboration
About this role
Doran Jones Inc. is a part of McLaren Strategic Solutions, a leading-edge global technology consulting firm specializing in digital transformation across various industries. The AI Engineer (Full Stack Java) role focuses on building AI-powered applications for healthcare, integrating machine learning and intelligent automation into modern workflows.
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
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
- 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