Generative AI Developer with JAVA

Ethereum Technologies; Richardson (TX); On-site; USD 86,000 - 123,000; Full time

Job summary

Ethereum Technologies is seeking a Generative AI Developer with Java to design and deliver LLM-based enterprise solutions, including RAG architectures and autonomous agent workflows, integrated with scalable cloud-native applications.

You will build scalable backend services using Java, Spring Boot, and Microservices, connect to OpenAI/Azure OpenAI, and implement secure, compliant deployments in cloud environments. Collaboration with cross-functional teams is essential.

Qualifications

• Strong proficiency in Java, Spring Boot, Microservices architecture, and React/Angular frameworks
• Hands-on experience in Generative AI, LLMs, and RAG-based solution development
• Expertise in prompt engineering and AI orchestration frameworks (LangChain, LangGraph or equivalent)
• Experience in agentic AI patterns, including multi-agent systems and tool-based integration
• Knowledge of vector databases (Pinecone, FAISS, Azure AI Search) and semantic retrieval techniques
• Experience with cloud platforms (Azure/AWS), containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines
• Familiarity with Microsoft Copilot Studio for building conversational AI agents and enterprise copilots
• Hands-on experience with AI-assisted development tools such as GitHub Copilot, Cursor, and other intelligent code editors/IDEs
• Understanding of enterprise AI governance, security, and compliance standards

Responsibilities

• Design and develop enterprise-grade Generative AI solutions using Large Language Models (LLMs) and enterprise data
• Build and implement RAG-based architecture and agentic / multi-agent workflows for intelligent automation
• Develop scalable backend services using Java, Spring Boot, and Microservices architecture and UI using React/Angular
• Integrate LLM APIs (Azure OpenAI / OpenAI) and vector databases for knowledge retrieval and semantic search
• Ensure secure, scalable, and compliant deployment through cloud-native platforms, containerization, orchestration, and CI/CD pipelines
• Collaboratje with cross-functional teams to deliver AI-enabled, production-grade solutions

Skills

Java

Spring Boot

Microservices

React

Angular

LLMs

RAG

Prompt engineering

AI orchestration

Azure

AWS

Kubernetes

Docker

Pinecone

OpenAI API

Tools

LangChain

LangGraph

GitHub Copilot

Cursor

OpenAI API

Azure OpenAI

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title:Generative AI Developer with JAVA

Duration: 10 Months

Bill Rate: $76/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description:

• Looking for a GenAI & Agentic AI Developer with strong Java Full Stack expertise to design and deliver LLM-based enterprise solutions, including RAG architectures and autonomous agent workflows, integrated with scalable, cloud-native applications.

Responsibilities:

• Design and develop enterprise-grade Generative AI solutions using Large Language Models (LLMs) and enterprise data
• Build and implement RAG-based architecture and agentic / multi-agent workflows for intelligent automation
• Develop scalable backend services using Java, Spring Boot, and Microservices architecture and UI using React/Angular
• Integrate LLM APIs (Azure OpenAI / OpenAI) and vector databases for knowledge retrieval and semantic search
• Ensure secure, scalable, and compliant deployment through cloud-native platforms, containerization, orchestration, and CI/CD pipelines
• Collaboratje with cross-functional teams to deliver AI-enabled, production-grade solutions

Required Skills:

• Strong proficiency in Java, Spring Boot, Microservices architecture, and React/Angular frameworks
• Hands-on experience in Generative AI, LLMs, and RAG-based solution development
• Expertise in prompt engineering and AI orchestration frameworks (LangChain, LangGraph or equivalent)
• Experience in agentic AI patterns, including multi-agent systems and tool-based integration
• Knowledge of vector databases (Pinecone, FAISS, Azure AI Search) and semantic retrieval techniques
• Experience with cloud platforms (Azure/AWS), containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines
• Familiarity with Microsoft Copilot Studio for building conversational AI agents and enterprise copilots
• Hands-on experience with AI-assisted development tools such as GitHub Copilot, Cursor, and other intelligent code editors/IDEs
• Understanding of enterprise AI governance, security, and compliance standards

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.