Job Title: Lead Java Developer AI & Full Stack Solutions
Location: Phoenix, AZ (Onsite / Hybrid)
Employment Type: Contract
Job Summary We are looking for a highly skilled Lead Java Developer with expertise in Artificial Intelligence (AI), Generative AI (LLMs, RAG, MCP), and Full Stack Development to design and build next-generation enterprise applications. In this role, you will lead the architecture, engineering, and deployment of resilient, AI-powered enterprise microservices and customer-facing web applications.
The ideal candidate brings strong hands-on experience in Java core platform engineering, integration with modern AI architectures (Retrieval-Augmented Generation, Model Context Protocol, and Large Language Models), and modern frontend frameworks (React/Angular/Node.js).
Key Responsibilities -
Technical Leadership & Architecture: Lead the end-to-end design, development, and architectural delivery of scalable, secure Java-based backend microservices integrated with advanced AI/LLM capabilities.
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AI & LLM Integration: Design and implement RAG (Retrieval-Augmented Generation) pipelines, integrate MCP (Model Context Protocol) servers/tools, vector databases, and enterprise LLM orchestration framework (e.g., Spring AI, LangChain4j, Semantic Kernel).
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Full Stack Execution: Oversee and contribute to full stack development-connecting modern frontend frameworks (React.js, Angular, or Vue.js) with AI-enhanced RESTful and GraphQL APIs.
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Enterprise Security & Governance: Implement enterprise-grade security, data protection, privacy controls, and API governance suitable for large-scale financial and payment systems.
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Engineering Best Practices: Drive code reviews, automated unit/integration testing, CI/CD pipeline automation, observability/monitoring, and performance tuning across the cloud stack (AWS/Google Cloud Platform/Azure).
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Mentorship & Collaboration: Guide and mentor software engineers, partner closely with Data Scientists, AI Engineers, Product Managers, and Solution Architects to translate business requirements into technical reality.
Required Qualifications -
Education: Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
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Core Java Leadership: 8+ years of hands-on Java engineering experience (Java 17/21, Spring Boot, Spring Cloud, Microservices, Event-driven architecture with Kafka/RabbitMQ).
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AI / GenAI Expertise: 2+ years of practical experience integrating AI capabilities into enterprise applications:
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Building RAG pipelines utilizing Vector Databases (e.g., Pinecone, Milvus, pgvector, Qdrant).
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Hands-on familiarity with MCP (Model Context Protocol) standards, tools, and agentic workflows.
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Integration with LLM APIs (OpenAI, Anthropic Claude, Llama, Bedrock, Vertex AI) using Spring AI or LangChain4j.
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Full Stack Development: Proficiency in frontend web technologies (React.js, Angular, TypeScript, HTML5/CSS3) and backend API integrations.
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Cloud & DevOps: Deep expertise in Cloud platforms (AWS/Azure/Google Cloud Platform), Docker, Kubernetes, CI/CD pipelines (Jenkins/GitHub Actions), and infrastructure-as-code.
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Location: Based in or willing to work onsite/hybrid in Phoenix, AZ.
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