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