1) About the Company
Our client is a disruptive tech startup based in Malaysia, backed by an elite leadership team with a proven track record across European and Asian markets. They are mission-driven, agile, and currently in a hyper-growth phase. With a culture that prizes transparency and "speed to market," they are redefining how businesses leverage intelligence to scale.
2) About the Job
As an Agentic AI Engineer, you will be at the heart of the product development lifecycle. You won’t just be a "coder"—you will be a builder. Your primary focus will be designing, developing, and deploying complex AI agents capable of multi-step reasoning and autonomous execution.
High-Octane Environment: Work toward a critical year-end product launch.
Stakeholder Synergy: Direct, transparent collaboration with senior founders.
Efficiency First: Use LLMs and GenAI tools to accelerate your own coding output, setting the benchmark for modern engineering workflows.
3) About the Team
You will join a lean, high-caliber engineering squad that operates with a "European startup" mindset—flat hierarchies, direct communication, and a passion for cutting-edge tech. The team is collaborative but expects high individual ownership and the ability to thrive in a fast-paced, evolving landscape.
4) Short Summary of the Role
This role is for an engineer who lives at the intersection of LLM orchestration and production-grade software engineering. You will be responsible for moving AI beyond "chat" into "action," creating agents that can navigate complex workflows with minimal supervision.
5) Education
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
Equivalent practical experience in high-growth tech environments will also be highly valued.
6) Qualifications
Proven Experience: 3+ years in software engineering, with a significant portfolio of building and deploying AI agents (AutoGPT, BabyAGI, LangGraph, or custom orchestration frameworks) in production.
Production Mindset: Experience taking a product from a local PoC to a scalable, live environment.
Language Skills: Proficiency in Mandarin is a strong advantage to facilitate collaboration with regional stakeholders, though not a mandatory requirement.
7) Key Skills Required
Agentic Frameworks: Expert level in Python and frameworks like LangChain
LLM Mastery: Deep understanding of GPT-4, Claude 3.5, and open-source models (Llama, Mistral), including fine-tuning and RAG optimization.
Autonomous Workflows: Ability to design tool-use (function calling), memory management, and self-correction loops for agents.
GenAI-Assisted Coding: Mastery of tools like GitHub Copilot or Cursor to maintain high velocity.
Soft Skills: Exceptional communication skills and the "agentic" personality trait—proactive, resourceful, and problem-solving oriented.
