Sr Agentic AI Engineer

QuantumCorrp; Plano (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

QuantumCorrp in Plano, TX and Columbus, OH seeks a Sr Agentic AI Software Engineer (Java / Python) to design and deliver production-grade AI solutions, integrating LangGraph and vLLM, and building multi-agent workflows.

The role emphasizes API development, microservices, and responsible AI practices, with locals for W2 eligibility.

Qualifications

• Strong proficiency in Python and Java, with hands-on experience building production-grade applications.
• Experience building, deploying, and maintaining Agentic AI solutions in enterprise environments.
• Hands-on experience with LangGraph and vLLM technologies.
• Experience designing multi-agent workflows, tool integrations, and autonomous decision-making frameworks.
• Ability to develop AI-driven applications using LLMs, agent frameworks, and retrieval capabilities.
• Strong understanding of API development, microservices architectures, and integration patterns.
• Experience troubleshooting, monitoring, and supporting AI-enabled applications in production.
• Familiarity with responsible AI practices and enterprise development standards.

Skills

Python

Java

Agentic AI

LangGraph

vLLM

Multi-agent workflows

API development

Microservices

Production support

Responsible AI

Tools

LangGraph

vLLM

Job description

Sr Agentic AI Software Engineer (Java / Python)- 10 roles

Plano, TX and Columbus, OH

W2 Candidates – Only locals

Required Skills / Must Have:

• Strong proficiency in Python and Java, with hands-on experience developing and supporting production-grade applications.
• Demonstrated experience building, deploying, and maintaining Agentic AI solutions in enterprise environments.
• Hands-on experience with the following technologies:
  • Python / Java
  • LangGraph
  • vLLM
• Experience designing and orchestrating multi-agent workflows, tool integrations, and autonomous decision-making frameworks.
• Ability to develop, test, and optimize AI-driven applications that leverage large language models, agent frameworks, and retrieval capabilities.
• Strong understanding of API development, microservices architectures, and integration patterns within modern software ecosystems.
• Experience troubleshooting, monitoring, and supporting AI-enabled applications in production environments.
• Familiarity with responsible AI practices, model governance, security considerations, and enterprise development standards.