GenAI Java Full-Stack Engineer: LLM & AI Apps

Veriipro

Richardson (TX)

Presencial

USD 140 000 - 200 000

Tempo integral

Há 4 dias
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Resumo da oferta

Veriipro is seeking an experienced GenAI Software Engineer to join our team in Richardson, TX. The role focuses on Java full-stack development with hands-on Generative AI and LLM experience to build AI-powered applications.

You will design end-to-end solutions using Java, Python and Generative AI technologies, build LLM-based prompts and AI agents, and ensure secure, scalable data pipelines and APIs within regulated environments.

Qualificações

  • 5+ years of hands-on Java Full Stack development.
  • 1–2+ years of Generative AI and LLM architectures experience.
  • Strong Java, Spring Boot, REST APIs and microservices expertise.
  • Working knowledge of Python and AI/ML technologies.
  • Experience with LLMs, prompts and AI agents.
  • Experience in regulated environments (healthcare, banking, etc.).
  • Understanding of cloud services, APIs and data pipelines.

Responsabilidades

  • Work with client stakeholders to understand business requirements and workflows.
  • Identify opportunities to implement AI-driven solutions.
  • Design and develop end-to-end applications using Java, Python and Generative AI.
  • Build and integrate LLM-based solutions, prompts and AI agents.
  • Develop scalable APIs, microservices and data pipelines.
  • Collaborate with cross-functional teams to deliver enterprise-grade solutions.
  • Ensure security, scalability and reliability of AI-powered applications.

Conhecimentos

Java Full Stack
Generative AI & LLMs
Spring Boot & REST APIs
Python
AI Agents
Prompt Engineering
Cloud & Data Pipelines

Descrição da oferta de emprego

Veriipro is seeking an experienced GenAI Software Engineer to join our team in Richardson, TX. The role focuses on Java full-stack development with hands-on Generative AI and LLM experience to build AI-powered applications.

You will design end-to-end solutions using Java, Python and Generative AI technologies, build LLM-based prompts and AI agents, and ensure secure, scalable data pipelines and APIs within regulated environments.

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