AI Agentic Solutions Engineer / LLM Orchestration Developer

About the role

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.

About you

• 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
• 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