Job Title: Java Full Stack Developer – AI (Generative AI / RAG / Agentic AI)
Experience: 10+ years
Job Type: Full-Time / Contract
Location: Charlotte NC/ Dallas TX/ Atalanta GA/ Remote
Skill set: Java, Spring Boot, React.js, SQL, LLM, RAG, Agentic AI, : LangChain, vector databases, AWS/Azure, MUST Any AI skillset
Job Summary
Value Technology is seeking an experienced Java Full Stack Developer with hands-on AI experience to design, develop, and maintain scalable enterprise applications. The ideal candidate will have strong expertise in Java, Spring Boot, React.js, SQL, Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI.
The candidate will be responsible for building modern web applications, developing RESTful APIs and microservices, and integrating AI-powered capabilities into enterprise solutions.
Key Responsibilities
- Design, develop, test, and maintain scalable applications using Java and Spring Boot.
- Build responsive frontend applications using React.js, JavaScript, HTML5, and CSS3.
- Develop RESTful APIs and microservices for enterprise applications.
- Integrate Large Language Models (LLMs) and Generative AI capabilities into applications.
- Design and implement Retrieval-Augmented Generation (RAG) solutions using enterprise data sources.
- Develop Agentic AI workflows, AI agents, and tool integrations to automate business processes.
- Write, optimize, and maintain SQL queries, database schemas, and stored procedures.
- Integrate frontend applications with backend services, databases, and AI APIs.
- Perform unit testing, debugging, code reviews, and performance optimization.
- Collaborate with cross-functional teams and follow Agile software development practices.
Required Qualifications
- 5+ years of experience in Java Full Stack Development.
- Strong hands-on experience with Java, Spring Boot, and microservices architecture.
- Experience developing frontend applications using React.js.
- Strong knowledge of JavaScript, HTML5, CSS3, and RESTful APIs.
- Proficiency in SQL and relational databases such as PostgreSQL, MySQL, or Oracle.
- Hands-on experience with Generative AI and Large Language Models (LLMs).
- Practical experience with RAG architecture and enterprise data integration.
- Knowledge or experience with Agentic AI, AI agents, and tool calling.
- Experience integrating backend services with external APIs and enterprise systems.
- Familiarity with Git, unit testing, build tools, and Agile methodologies.
Preferred Qualifications
- Experience with LangChain, LangGraph, or similar AI orchestration frameworks.
- Familiarity with vector databases such as Pinecone, Chroma, or FAISS.
- Knowledge of prompt engineering, embeddings, and semantic search.
- Experience with AWS, Azure, or Google Cloud Platform.
- Familiarity with Docker, Kubernetes, CI/CD pipelines, and DevOps practices.
- Understanding of AI application security, evaluation, and performance optimization.
Key Skills
Mandatory Skills: Java, Spring Boot, React.js, SQL, Generative AI, LLMs, RAG, Agentic AI.
Preferred Skills: Microservices, REST APIs, LangChain, LangGraph, Vector Databases, Prompt Engineering, AWS/Azure/Google Cloud Platform, Docker, Kubernetes, CI/CD.
