Agentic AI Engineer

Danta Technologies

• $110K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in Agentic AI and AI agents
  • Proficient in Python programming
  • Experience with cloud platforms, preferably GCP
  • Hands-on experience in building and deploying AI agents
  • Strong knowledge of LangChain, LangGraph, or Semantic Kernel
  • Deep understanding of Agentic AI architecture and workflows

Responsibilities

  • Design and develop Agentic AI solutions using Python
  • Build intelligent agents for planning and reasoning
  • Develop workflows with LangChain, LangGraph, or Semantic Kernel
  • Integrate agents with APIs and enterprise applications
  • Implement memory and multi-agent workflows
  • Optimize agent performance and response quality
  • Collaborate with cross-functional teams to deliver production-grade applications

Benefits

  • Competitive pay
  • Healthcare insurance options (Dental, Medical, Vision)
  • Major holidays off
  • Paid sick leave as per state law
Full Job Description
Job Title: Agentic AI Engineer
Location: Dallas/Irving, TX / Basking Ridge, NJ / Atlanta, GA (Onsite/Hybrid position)
Long term position

We are looking for independent candidates who can work on our company W2 payroll. Please note that C2C and 1099 arrangements are not available for this position.

Job Description

Looking for a hands-on Agentic AI Engineer with strong Python development skills and proven experience building LLM-powered AI agents and agentic workflows using frameworks such as LangChain, LangGraph, or Semantic Kernel.

Required Skills
  • 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
Experience with:
  • Agent planning and reasoning
  • Tool calling and tool integration
  • Multi-step agent workflows
  • Memory and context management
  • Reflection and evaluation
  • Agent orchestration
  • Experience integrating AI agents with APIs, databases, web services, and enterprise tools
  • Strong understanding of LLMs, prompt engineering, RAG, and vector databases
  • Experience developing production-ready AI/ML applications
Key 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.


Benefits: Danta offers a compensation package to all W2 employees that are competitive in the industry. It consists of competitive pay, the option to elect healthcare insurance (Dental, Medical, Vision), Major holidays and Paid sick leave as per state law.

The rate/ Salary range is dependent on numerous factors including Qualification, Experience and Location.

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