Java Full Stack Developer (AI Integration)

M9 Consulting

United States

11 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

3 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Clean Code Principles Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Application Integration Architecture HTML5 Build Automation Microsoft Azure Cascading Style Sheets (CSS) Cloud Computing Encodings

+44 more

Continuous Integration Relational Databases Software Design Patterns DevOps Design of User Interfaces Hibernate (Java) Java Persistence API Spring Framework Python (Programming Language) PostgreSQL Machine Learning MongoDB MySQL NoSQL Redis Azure Machine Learning Search Technologies Software Deployment Software Engineering Systems Architecture Systems Integration TypeScript Web Application Frameworks Data Storage Management Google Cloud Java Application Server Enterprise Software Applications ReactJS Delivery Pipeline Large Language Models Prompt Engineering Spring-boot Generative AI Backend Vue.js AngularJS Kubernetes HuggingFace Front End Software Development Api Design Restful APIs Automation Anywhere Docker Microservices

Job description

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., 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

Java Mastery: 15+ 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).