AI Agentic Solutions Engineer

AI Agentic Solutions Engineer / LLM Orchestration Developer

This is for Chatbot project

• Strong Python development experience.
• Hands-on experience with at least one (LangGraph, CrewAI, AutoGen, Semantic Kernel)
• Experience building RESTful APIs and integrating third-party services.
• Experience developing scalable backend applications using FastAPI or Flask.
• Strong understanding of LLM-based architectures and prompt engineering.
• Experience with asynchronous programming, SSE, WebSockets, and job queue
  
  

architectures.

Preferred Skills

• Experience implementing MCP-based tool integrations.
• Knowledge of ReAct, Reflection, and advanced agent reasoning frameworks.
• Experience building automated reporting systems.
• Hands-on experience with Plotly or Vega-Lite.
• Frontend development experience with React, Next.js, or Streamlit.
• Experience with cloud platforms such as Azure, AWS, or GCP.
• Knowledge of AI governance, observability, and model evaluation.
  
  

We are seeking an experienced AI Agentic Solutions Engineer to design, develop, and deploy enterprise-grade Generative AI solutions leveraging Large Language Models (LLMs), multi-agent orchestration frameworks, and modern backend technologies. The candidate will be responsible for building intelligent agent ecosystems, integrating external tools and services, delivering automated insights and reports, and creating human-in-the-loop workflows that support business-critical use cases.