AI Agentic Solutions Engineer / LLM Orchestration Developer
LAVU TECH SOLUTIONS SDN. BHD.
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Job summary
LAVU TECH SOLUTIONS SDN. BHD. is seeking an experienced AI Agentic Solutions Engineer to design, develop, and deploy enterprise-grade Generative AI solutions. You will build intelligent agent ecosystems, integrate external tools and services, and deliver automated insights and reports.
You will work with multi-agent orchestration frameworks, modern backend technologies, and human-in-the-loop workflows to support critical use cases across the business.
Qualifications
- 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
Skills
Tools
Job description
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.
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
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