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# Generative AI Developer

- **Company:** eTeam Inc
- **Location:** Richardson, TX, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cursor, Information Retrieval, Language Modeling, Systems Development Life Cycle, OpenAI, Search Technologies, Software Engineering, Enterprise Search, Enterprise Data Management, Pinecone, Cloud Platform System, Spring Cloud, GitHub Copilot, ReactJS, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Spring-boot, Generative AI, Backend, Agentic-AI, Microsoft Copilot Studio, Containerization, AngularJS, Kubernetes, FAISS, Docker, Microservices
- **Published:** November 6, 2026
- **Apply:** https://www.careerbuilder.com/job-details/generative-ai-developer-richardson-tx--fb64497e-01c4-493b-83d2-13927e937694

## About the Role

Artificial Intelligence (AI), Artificial Intelligence (AI), Java, Software Engineering, Cloud Applications, Modeling Languages, Automation, Scalable System Development, Microservices, AngularJS, 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

Experience:
8 years overall experience with 4 years in Generative AI / AI-driven solution development

## 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., 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
Collaborate with cross-functional teams to deliver AI-enabled, production-grade solutions