GenAI Engineer: Build Enterprise Agentic AI

Ascendion

Plano (TX)

On-site

USD 90,000 - 120,000

Full time

3 days ago
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
401(k) retirement plan
Life insurance
Long-term disability insurance
Short-term disability insurance
Paid parking/public transportation

Job summary

Ascendion is seeking an AI/GenAI Engineer in Plano, TX to design, develop, and deploy production-grade Agentic AI solutions using Python, LangChain/LangGraph, Kubernetes, and LLM technologies. Three interview rounds are planned, with in-person rounds in Plano, TX.

The role focuses on owning AI use cases end-to-end, building scalable AI workflows, and delivering enterprise-grade AI capabilities for Fortune 500 clients.

Qualifications

  • 5+ years of software engineering experience building and shipping production systems.
  • Hands-on experience designing, deploying, monitoring, and debugging production-grade Agentic AI / GenAI applications.
  • Strong Python development expertise for AI and backend engineering.
  • Experience with Java or willingness to work extensively with Java-based service layers.
  • Practical experience with LangChain, LangGraph, or similar AI agent orchestration frameworks.

Responsibilities

  • Design, build, deploy, and operate production-grade Agentic AI systems for enterprise-scale applications.
  • Own AI use cases end-to-end, from business requirement gathering through deployment, monitoring, and ongoing support.
  • Develop and implement agent orchestration workflows using frameworks such as LangChain and LangGraph.
  • Build reusable LLM tools and enterprise skills that enable AI agents to securely interact with business systems.

Skills

Python programming
Java programming
AI/GenAI engineering
LangChain
LangGraph

Tools

Kubernetes
LangChain
LangGraph

Job description

Ascendion is seeking an AI/GenAI Engineer in Plano, TX to design, develop, and deploy production-grade Agentic AI solutions using Python, LangChain/LangGraph, Kubernetes, and LLM technologies. Three interview rounds are planned, with in-person rounds in Plano, TX.

The role focuses on owning AI use cases end-to-end, building scalable AI workflows, and delivering enterprise-grade AI capabilities for Fortune 500 clients.

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