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. Notes :- All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. 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.

Requirements

Must-haves

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.
Agentic AI / AI Agents – Mandatory
Python – Mandatory
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
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
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.

Nice-to-haves

Cloud experience: GCP preferred, AWS, or Azure (any cloud experience is ok).

Application prep

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Keywords to mirror

aipythonllmgcpawsazureml

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Benefits

Benefits detected in the listing.

Dental

Vision