I8IS INC.
Java Full Stack Developer – AI
Jersey City, USVor OrtUnbefristetVollzeit
Veröffentlicht am 25. Aug. 2026
Diese Stelle wird in EN ausgeschrieben
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.
Rollenübersicht
Jobart
Vollzeit
Erforderliche Kompetenzen
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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