Agentic AI Engineer
Danta Technologies
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
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
- 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.
- 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.
Vacancy posted more than 2 months ago
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