Agentic AI Engineer — Python, LangChain & Tooling

Danta Technologies; Dallas (TX); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Healthcare insurance

Paid holidays

Paid sick leave

Job summary

Danta Technologies is seeking an innovative Agentic AI Engineer to join our team in a long-term, onsite/hybrid role across Dallas/Irving, TX and other locations. The ideal candidate will design and deploy Python-based agentic AI solutions, integrating with enterprise tools and APIs, and building sophisticated workflows using LangChain, LangGraph, or Semantic Kernel.

You will work with Data Science, AI/ML and Engineering teams to deliver production-grade AI agents, manage memory and RAG, and

Qualifications

• Agentic AI / AI Agents mandatory
• Python mandatory
• Cloud experience: GCP preferred, AWS, or Azure (any cloud experience is ok).
• Hands-on experience building and deploying AI Agents and Agentic AI workflows
• Strong experience with LangChain, LangGraph, and/or Microsoft Semantic Kernel
• Strong understanding of Agentic AI architecture and workflows

Responsibilities

• Design, develop, and deploy Agentic AI solutions using Python.
• Build intelligent agents capable of planning, reasoning, using tools, evaluating results, and adapting their actions.
• Develop agent workflows using LangChain, LangGraph, and/or Semantic Kernel.
• Integrate agents with APIs, databases, enterprise applications, and external tools.
• Implement memory, RAG, tool calling, and multi-agent workflows.
• Optimize agent performance, reliability, and response quality.
• Work with LLMs and prompt engineering to develop scalable enterprise AI solutions.
• Collaborate with Data Science, AI/ML, and Engineering teams to deliver production-grade Agentic AI applications.

Skills

Agentic AI

Python

GCP

AWS

Azure

LangChain

LangGraph

Semantic Kernel

Agentic AI workflows

Agent architecture

Job description

Danta Technologies is seeking an innovative Agentic AI Engineer to join our team in a long-term, onsite/hybrid role across Dallas/Irving, TX and other locations. The ideal candidate will design and deploy Python-based agentic AI solutions, integrating with enterprise tools and APIs, and building sophisticated workflows using LangChain, LangGraph, or Semantic Kernel.

You will work with Data Science, AI/ML and Engineering teams to deliver production-grade AI agents, manage memory and RAG, and