Senior Full Stack Java Developer (AI Integration)

Remote • Posted 1 hour ago • Updated 1 hour ago
Contract W2
Contract Independent
12 Months
No Travel Required
Able to Sponsor
Remote
$55 - $65/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Java Full Stack Developer
  • Full Stack Java Developer
  • Java
  • Artificial Intelligence
  • AI
  • Machine Learning
  • ML
  • Java development (Java 11/17/21)
  • HTML5
  • Docker
  • DevOps
  • AngularJS
  • Amazon Web Services
  • MongoDB
  • Microservices
  • TypeScript
  • Google Cloud Platform

Summary

Senior Full Stack Java Developer (AI Integration)

Introduction:

We are seeking an experienced Java Full Stack Developer with AI Experience to join our engineering team. In this role, you will design, build, and deploy high-performance enterprise applications while integrating modern Artificial Intelligence (AI) and Machine Learning (ML) capabilities. You will work across the entire software development lifecycle—from front-end user interfaces and back-end microservices to embedding Large Language Models (LLMs), vector databases, and AI workflows into production systems.

Responsibilities:

  • Back-End Development: Design, build, and maintain scalable, secure back-end microservices and RESTful APIs using Java and Spring Boot.
  • Front-End Development: Create responsive, intuitive user interfaces using modern JavaScript frameworks (React, Angular, or Vue.js).
  • AI & LLM Integration: Integrate AI models, LLMs (e.g., OpenAI, Anthropic, Hugging Face), and AI frameworks (Spring AI, LangChain, LlamaIndex) into core applications.
  • Data & Vector Search: Design schemas and optimize performance using relational/NoSQL databases alongside Vector Databases (e.g., Pinecone, Milvus, pgvector) for Retrieval-Augmented Generation (RAG) pipelines.
  • System Architecture: Lead end-to-end architectural decisions, ensuring clean code, design patterns, microservices best practices, and secure AI deployment.
  • CI/CD & DevOps: Automate build, testing, and deployment pipelines using Docker, Kubernetes, and cloud platforms (AWS, Azure, or Google Cloud Platform).
  • Collaboration: Partner with product managers, UX designers, and data scientists to translate AI concepts into user-facing enterprise features.

Requirements:

Core Software Engineering:

  • Java Mastery: 11+ years of hands-on Java development (Java 11/17/21), including Spring Framework, Spring Boot, and Hibernate/JPA.
  • Front-End Expertise: 3+ years working with modern front-end frameworks (React.js, Angular, or Vue.js), TypeScript, HTML5, CSS3, and state management.
  • Database & Storage: Strong experience with relational databases (PostgreSQL, MySQL) and NoSQL stores (MongoDB, Redis).
  • Cloud & DevOps: Experience deploying scalable applications on AWS, Azure, or Google Cloud Platform using Docker and Kubernetes.

AI & Machine Learning Experience:

  • AI Integration: Hands-on experience incorporating AI/ML services into production Java applications (e.g., using Spring AI, Python microservices bridging AI models, or REST API connectors).
  • LLM & RAG Frameworks: Practical familiarity with Retrieval-Augmented Generation (RAG) architectures, prompt engineering, and vector databases (Pinecone, Qdrant, ChromaDB, or pgvector).
  • AI APIs & SDKs: Familiarity with integrating foundation model APIs (OpenAI API, Claude, AWS Bedrock, or Azure OpenAI Service).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10410879
  • Position Id: 9100096
  • Posted 1 hour ago
Contact the job poster
PS

Punith Sai

Recruiter @ M9 Consulting
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