Agentic AI Engineer (ONLY W2)
Danta TechnologiesAbout the role
Job Title: Agentic AI Engineer (ONLY W2)
Location: Dallas/Irving, TX / Basking Ridge, NJ / Atlanta, GA (Onsite/Hybrid position)
Long term position
Candidates should be working on Danta's W2. No C2C/1099/own corporation
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.
Regards,
Mahesh Yadav
mahesh@dantatechnologies.net
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.
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
- Experience with agent planning and reasoning, tool calling and integration, multi-step workflows, memory and context management, reflection and evaluation, and agent orchestration.
- Experience integrating AI agents with APIs, databases, web services, and enterprise tools.
Skills mentioned
About Danta Technologies
Danta Technologies is an NMSDC-certified minority-owned business enterprise dedicated to delivering exceptional consulting and staffing services. Our mission is to create meaningful economic impact for individuals and communities through strategic partnerships and high-quality talent solutions. With deep, industry-specific expertise, our team brings both technical excellence and a personal touch to every engagement. We proudly support enterprise-level and government clients, offering flexible collaboration models tailored to meet the needs of each firm. At Danta Technologies, we don’t just provide resources-we build relationships that drive results.
H-1B sponsorship history
Historical employer filing data was found for Danta Technologies. The employer record includes 67 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.