I8IS INC.
Java Full Stack Developer – AI
Jersey City, USTại chỗVĩnh viễnToàn thời gian
Đăng 25 thg 8, 2026
Công việc này được đăng bằng EN
Job Overview
We are looking for a Java Full Stack Developer with AI/GenAI experience to build scalable enterprise applications and AI-powered solutions.
Rate
$57-60/HR on W2
Location/Work Mode
New Jersey – Onsite
Experience
6+ Years
Visa/Work Authorization
Need OPT EAD, USC, GC, H4-EAD, TN Only-W2/fulltime
Interview Process/Mode
Need only local candidates who are ready to go In-person Interview.
Required Skills
- 8+ years of Java Full Stack development
- Java, Spring Boot, Microservices, REST APIs
- React.js or Angular, JavaScript/TypeScript
- SQL / relational databases
- Generative AI / LLM integration
- RAG, prompt engineering, embeddings, vector databases
- Experience with Spring AI, LangChain4j, LangChain, or LangGraph
- AWS/Azure/GCP, Docker, Kubernetes, CI/CD
- Git, JUnit, Agile/Scrum
AI / GenAI Requirements
- Hands-on experience integrating Generative AI/LLM capabilities into applications
- Experience with RAG (Retrieval-Augmented Generation)
- Knowledge of prompt engineering, embeddings, vector search, and LLM APIs
- Experience with one or more: Spring AI, LangChain4j, LangChain, LangGraph, OpenAI APIs, Azure OpenAI, Google Gemini, AWS Bedrock
- Experience with vector databases such as Pinecone, Redis, Elasticsearch/OpenSearch, pgvector, or similar is preferred.
- Experience developing AI agents / Agentic AI workflows is a strong plus.
Preferred Skills
- Agentic AI, OpenAI/Azure OpenAI, Kafka, Redis, MongoDB, Elasticsearch, and enterprise/financial services experience.
Tóm tắt vai trò
Loại công việc
Toàn thời gian
Kỹ năng yêu cầu
Java programmingSpring BootMicroservices architectureREST API design and developmentFrontend frameworks (React.js or Angular)JavaScript and TypeScriptSQL / relational databasesGenerative AI / LLM integrationRetrieval-Augmented Generation (RAG)Prompt engineering and embeddingsVector databases (Pinecone, Redis, Elasticsearch/OpenSearch, pgvector)LLM frameworks and APIs (Spring AI, LangChain4j, LangChain, LangGraph, OpenAI/Azure OpenAI/Google Gemini/AWS Bedrock)Cloud platforms (AWS, Azure, GCP)Containerization and orchestration (Docker, Kubernetes)Git version control
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