AI Engineer GenAI Agentic AI

iBroad Solutions; Petaling Jaya; On-site; MYR 120,000 - 180,000; Full time

Job summary

iBroad Solutions in Malaysia is seeking an AI Engineer to design and implement AI/ML driven applications, including LLM-based systems and chatbots. The role emphasizes hands-on software development, REST API integration, and deployment in cloud/on‑prem environments.

The ideal candidate has 3+ years of experience, strong Python skills, and familiarity with LangChain, LangGraph, LlamaIndex, and related frameworks, along with RAG, vector databases, and prompt engineering.

Qualifications

• Bachelor's degree in Computer Science, AI/ML, Software Engineering, or related field.
• 3+ years of experience in AI/ML engineering or related roles.
• Hands-on experience with LLM applications, AI chatbots, or Generative AI solutions.

Responsibilities

• Design, develop, and deploy AI/ML driven applications and LLM-based solutions.
• Integrate AI components with REST APIs and databases across cloud/on-prem environments.
• Evaluate and implement tool/function calling, RAG, embeddings, and prompt engineering.

Skills

AI/ML engineering

Python programming

REST APIs

Software engineering

CI/CD

Docker

Git

System integration

Education

Bachelor's degree in Computer Science/AI/ML/Software Engineering

Tools

LangChain

LangGraph

LlamaIndex

Semantic Kernel

AutoGen

CrewAI

OpenAI/Azure OpenAI

Ollama/Hugging Face

Job description

AI Engineer

Anyone who is interested to relocate to Malaysia is also accepted.

Requirements

• Bachelor's degree in Computer Science, AI/ML, Software Engineering, or a related field.
• 3+ years of experiencein AI/ML engineering, software engineering, or a related role.
• Hands-on experience developing LLM applications, AI chatbots, or Generative AI solutions.
• Practical experience with AI Agents, Agentic AI, tool/function calling, or AI workflow automation.
• Experience with open-source LLMs such as Llama, Qwen, Mistral, Gemma, or equivalent.
• Strong Python programming and software engineeringskills.
• Experience with REST APIs, system integration, databases, and cloud/on-premise environments.
• Hands-on experience with RAG, vector databases, embeddings, and prompt engineering.
• Experience with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, or equivalent.
• Experience with LLM platforms such as OpenAI, Azure OpenAI, Anthropic, Gemini, and/or open-source models.
• Familiarity with Docker, Git, CI/CD, and production deployment.

Preferred Skills

• Experience serving open-source LLMs using vLLM, Hugging Face, Ollama, or equivalent.
• Experience with MCP, multi-agent systems, LLM evaluation/observability, fine-tuning, LoRA/QLoRA, or model optimization.
• Experience with AWS, Azure, or Google Cloud.
• Knowledge of AI security, data privacy, access control, and responsible AI.