AI Agentic Solutions Engineer / LLM Orchestration Developer

AI Agentic Solutions Engineer / LLM Orchestration Developer 

This is for Chatbot project

1) Strong Python development experience.

2) Hands-on experience with at least one (LangGraph, CrewAI, AutoGen, Semantic Kernel)

3) Experience building RESTful APIs and integrating third-party services.

4) Experience developing scalable backend applications using FastAPI or Flask.

5) Strong understanding of LLM-based architectures and prompt engineering.

6) Experience with asynchronous programming, SSE, WebSockets, and job queue

architectures.

Preferred Skills

1) Experience implementing MCP-based tool integrations.

2) Knowledge of ReAct, Reflection, and advanced agent reasoning frameworks.

3) Experience building automated reporting systems.

4) Hands-on experience with Plotly or Vega-Lite.

5) Frontend development experience with React, Next.js, or Streamlit.

6) Experience with cloud platforms such as Azure, AWS, or GCP.

7) 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.