Agentic AI Engineer

Danta Technologies

$120K — $140K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years hands-on experience in Agentic AI/AI Agents
  • Proficient in Python
  • Experience with cloud platforms, preferably GCP
  • Demonstrable experience in deploying AI Agents and workflows
  • Familiarity with LangChain, LangGraph, or Semantic Kernel
  • Strong grasp of Agentic AI architecture

Responsibilities

  • Design and deploy Agentic AI solutions using Python
  • Construct intelligent agents that can plan and adapt actions
  • Develop workflows employing frameworks like LangChain and Semantic Kernel
  • Integrate AI agents with diverse APIs and enterprise applications
  • Implement tools and memory management for AI agents
  • Optimize agent performance and reliability
  • Collaborate with cross-functional teams to produce enterprise AI applications

Benefits

  • Competitive salary package
  • Options for healthcare insurance (Dental, Medical, Vision)
  • Paid major holidays and 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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