AI Engineer (Agentic AI & LLM)

We+ Asia; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

We Asia invites curious engineers to join our AI research and software engineering efforts at Tuas, Singapore, focusing on agent-based architectures and real-world deployment.

This role welcomes exceptional fresh graduates who have demonstrated talent through internships, co-ops, or intensive academic projects in Agentic AI. You will design and implement agentic AI systems, develop LLM workflows, and integrate with our software ecosystem using gRPC and microservices.

Qualifications

• Must-have: Strong programming in Python.
• Must-have: Proficiency in C, C++, Golang or Java.
• Hands-on experience with agentic AI frameworks/workflows (LangChain, AutoGen, CrewAI, Semantic Kernel or similar) through internships, university projects or portfolio work.
• Solid understanding of LLMs and prompt engineering.
• Understanding of multi-agent systems and orchestration patterns.
• Experience with API integration and distributed systems.
• Experience building AI systems or microservices; production-grade experience is a plus, but internships/projects are valued.
• Strong problem-solving skills and ability to work in complex, evolving environments.

Responsibilities

• Design and implement agentic AI systems capable of planning, reasoning, and executing multi-step tasks.
• Develop and optimise LLM workflows, including tool usage, memory management, and orchestration (LangChain, AutoGen, CrewAI, or similar).
• Integrate with our software ecosystem using gRPC and microservices.
• Build real-time decision engines and intelligent automation frameworks.
• Evaluate and improve agent performance through testing, benchmarking, and iteration.
• Stay sharp on emerging trends in LLMs, autonomous systems, and agentic research—and prototype new ideas where relevant.

Skills

Python

C/C++

Golang

Java

Problem-solving

Team collaboration

Tools

LangChain

AutoGen

CrewAI

Semantic Kernel

Job description

We are seeking a curious, experimental engineer to join us at the intersection of AI research and software engineering, with a strong focus on agent-based architectures and real-world deployment.

This role is based in Tuas, and candidates must be amenable to working at this location.

We are open to exceptional fresh graduates who have demonstrated talent through internships, co-ops, or intensive academic projects in Agentic AI.

• Design and implement agentic AI systems capable of planning, reasoning, and executing multi-step tasks.
• Develop and optimise LLM workflows, including tool usage, memory management, and orchestration (LangChain, AutoGen, CrewAI, or similar).
• Integrate with our software ecosystem using gRPC and microservices.
• Build real-time decision engines and intelligent automation frameworks.
• Evaluate and improve agent performance through testing, benchmarking, and iteration.
• Stay sharp on emerging trends in LLMs, autonomous systems, and agentic research—and prototype new ideas where relevant.

Must-have:

• Strong programming expertise in Python.
• Proficiency in at least one of the following: C, C++, Golang, or Java.
• Hands-on experience with agentic AI frameworks and workflows (e.g., LangChain, AutoGen, CrewAI, Semantic Kernel, or similar) — this can be gained through internships, university research projects, or personal portfolio work.
• Solid understanding of:
• LLMs and prompt engineering.
• Multi-agent systems and orchestration patterns.
• API integration and distributed systems.
• Experience building AI systems or microservices — production-grade experience is a plus, but robust internship or project work is equally valued.
• Strong problem-solving skills and ability to work in complex, evolving environments.

Nice-to-have:

• Experience with real-time data processing or sensor-driven systems.
• Familiarity with decision engines, reinforcement learning, or planning algorithms.
• Knowledge of cloud platforms (Azure, AWS, or GCP) and containerized deployments such as Docker.
• Experience working with vector databases, embeddings, and retrieval systems.
• Passionate about emerging AI technologies and not afraid to experiment.
• Able to balance research insights with practical, production-ready implementation.
• A collaborative communicator who thrives in a team environment.
• Work on cutting-edge agentic AI systems with real-world impact.
• Be part of a team that values curiosity, innovation, and continuous learning.
• Open and supportive culture — your ideas and experiments are encouraged.