Agentic GenAI Engineer - Build Production-Grade AI Agents

Ascendion

Wilmington (DE)

On-site

USD 100,000 - 140,000

Full time

15 hours 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 experienced Agentic AI Engineer to design, build, and deploy production-grade Agentic AI/GenAI solutions using Python, LangChain, and LangGraph. The role focuses on developing scalable enterprise AI applications, integrating LLM agents with business systems, and managing end-to-end deployment and operations.

You will own AI use cases end-to-end, from business requirements gathering through deployment, monitoring, and ongoing support, and build reusable tools to securely

Qualifications

  • 8+ years of software engineering experience with production systems.
  • Hands-on experience deploying and monitoring Agentic AI / GenAI apps.
  • Experience with Java-based service layers.
  • Practical experience with LangChain or LangGraph.

Responsibilities

  • Design, build, deploy, and operate production-grade Agentic AI systems for enterprise-scale applications.
  • Own AI use cases end-to-end, from business requirements through deployment, monitoring, and ongoing support.
  • Build reusable LLM tools and enterprise skills that enable AI agents to securely interact with business systems.

Skills

Agentic AI
GenAI
LangChain
LangGraph
Kubernetes
Java
Python

Tools

LangChain
LangGraph
Kubernetes
Java
Python

Job description

Ascendion is seeking an experienced Agentic AI Engineer to design, build, and deploy production-grade Agentic AI/GenAI solutions using Python, LangChain, and LangGraph. The role focuses on developing scalable enterprise AI applications, integrating LLM agents with business systems, and managing end-to-end deployment and operations.

You will own AI use cases end-to-end, from business requirements gathering through deployment, monitoring, and ongoing support, and build reusable tools to securely

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