AI Agentic Solutions Engineer

Lavu Tech Solutions Sdn Bhd; Bayan Lepas; On-site; MYR 90,000 - 180,000; Full time

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 leveraging Large Language Models (LLMs) and multi-agent orchestration frameworks. The role focuses on building intelligent agent ecosystems, integrating external tools, and delivering automated insights and reports.

The candidate will create human-in-the-loop workflows that support business-critical use cases and will work with modern backend

Qualifications

• Proficient Python developer with strong backend skills.
• Experience with building RESTful APIs and integrating third-party services.
• Strong understanding of LLM-based architectures and prompt engineering.

Responsibilities

• Design, develop, and deploy enterprise-grade Generative AI solutions leveraging LLMs and multi-agent orchestration frameworks; deliver automated insights and reports; create human-in-the-loop workflows for business-critical use cases.

Skills

Python

RESTful APIs

FastAPI/Flask

LLM architectures

Async programming

WebSockets

Job queue

Tools

LangGraph

CrewAI

AutoGen

Semantic Kernel

Plotly

Vega-Lite

React/Next.js/Streamlit

Azure

AWS

GCP

Job description

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.