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Java Full Stack Developer – AI

  • Source: Ceipal
  • Recutify Inc.
  • $93,600 to $104,000 /yr
  • On-site
  • Jersey City
  • Full-Time
  • Mid level

Job Description

Job Title: Java Full Stack Developer AI

Location: New Jersey Onsite

Experience: 8+ Years

Client: Banking/Financial

Visa: Need OPT EAD,USC,GC,H4-EAD,TN Only-W2/fulltime

Note: Need only local candidates who are ready to go In-person Interview.

We are looking for a Java Full Stack Developer with AI/GenAI experience to build scalable enterprise applications and AI-powered solutions.

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: Agentic AI, OpenAI/Azure OpenAI, Kafka, Redis, MongoDB, Elasticsearch, and enterprise/financial services experience.

Skills

  • Java
  • 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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