Overview
|
Job-type |
Full-Time |
|
Job Category |
IT - Software |
|
Industries |
IT |
|
Salary |
MYR 8,000
- 12,000
/Month
|
Who you'll be working for
The client is an international supplier of broadcast management systems.
What requirements you'll need to be eligible
- Design and implement agent-based architectures using frameworks like
LangGraph, CrewAI, Agno, or similar to orchestrate LLM behavior in multi-step workflows.
- Develop prompt engineering strategies, memory management, and agent
coordination logic to ensure reliability and performance of AI agents.
- Build composable AI workflows by chaining tools, APIs, and third-party services that agents can invoke securely and intelligently.
- Integrate LLM agents into enterprise products and digital interfaces (e.g.,
chatbots, data pipelines, workflow automation tools).
- Collaborate with product teams to define use cases and translate them into
autonomous agent workflows with measurable outcomes.
- Implement observability for agent behavior (e.g., traceability, tool usage logs, fallback flows).
- Ensure responsible AI practices, including guardrails, rate limiting, sandboxing, and human-in-the-loop design for critical agent actions.
- Drive innovation by experimenting with new LLMs (e.g., GPT-4o, Claude, Gemini) and fine-tuning or RAG-based enhancement strategies.
What you'll be doing on the job
We are seeking an innovative and hands-on AI Engineer with experience in building LLM powered applications using frameworks such as LangChain, LLamaIndex, and agentic frameworks such as LangGraph, CrewAI etc.
In this role, you will develop intelligent, autonomous agents capable of reasoning,
decision-making, and multi-step task execution. You will integrate these agents into our digital platforms to solve complex problems across domains such as customer support, knowledge discovery, automation, and data analysis.
Consultant Contact
Sound interesting?
Apply!