Generative AI Developer with JAVA

Valiant Technologies LLC

Richardson (TX)

On-site

USD 86,000 - 123,000

Full time

2 hours ago
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Job summary

Valiant Technologies LLC in Richardson, TX seeks 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.

The role requires strong Java, Spring Boot, microservices, and frontend skills (React/Angular), plus hands-on GenAI experience with LLMs, prompt engineering, and AI orchestration.

Qualifications

  • Strong Java full-stack expertise.
  • Experience with LLMs and GenAI architectures.
  • Hands-on with RAG-based workflows.
  • Cloud-native deployment and CI/CD.

Responsibilities

  • Design and deliver LLM-based enterprise solutions.
  • Build RAG-based architecture and agentic workflows.
  • Develop backend with Java, Spring Boot, microservices and UI with React/Angular.
  • Integrate LLM APIs and vector databases for retrieval.
  • Ensure secure, scalable deployment in cloud-native environments.
  • Collaborate with cross-functional teams on production AI solutions.

Skills

Java
Spring Boot
Microservices
React/Angular
LLMs / GenAI
Prompt engineering
Azure OpenAI
Docker / Kubernetes
Contract work

Tools

CI/CD pipelines

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.

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