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Generative AI Developer

eTeam · Richardson, TX · Hybrid

Strong hiring record · median 1 days open

100100

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Actively hiring

Posted today · still listed on the employer's own board · How we score

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  • Posted today
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Generative AI Developer at eTeam. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Job title

Generative AI Developer

Work Location

Bloomfield Texas, or Richardson Texas (Hybrid)

Minimum years of experience

8 Years

In person interview

Yes (2nd round)

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
  • Collaborate 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

Experience

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

Skills

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