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Java Full Stack Developer – AI

  • Source: Zohorecruit
  • I8IS INC.
  • $118,560 to $124,800 /yr
  • On-site
  • Jersey City
  • Full-Time
  • Mid level

Job Description

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.

Skills

  • Java
  • mode
  • spring
  • spring-boot
  • React
  • javascript
  • TypeScript
  • microsoft-typescript
  • LangChain
  • LangGraph
  • amazon-web-services
  • microsoft-azure
  • google-cloud-platform
  • Docker
  • Kubernetes
  • JUnit
  • Gemini
  • bedrock
  • Redis
  • Elasticsearch
  • opensearch
  • Kafka
  • MongoDB

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