Agentic AI Engineer

WE-PLUS PTE. LTD.; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

WE-PLUS PTE. LTD. invites applications for a role at the intersection of AI research, software engineering, and system design.

You will design agentic AI systems, develop workflows, and optimise tool usage, memory, and orchestration, with experience in RPCs and real-time decision engines. Ideal candidates have 1–2 years of relevant experience, strong Python, and proficiency in C/C++/Go/Java, plus familiarity with LangChain and vector retrieval systems.

Qualifications

• Bachelor's Degree in Information Technology or relevant field(s)
• 1–2 years of relevant work experience; fresh graduates welcome
• Strong programming expertise in Python
• Proficiency in C, C++, Golang or Java
• Hands-on experience with agentic AI frameworks and workflows (e.g., LangChain, AutoGen, CrewAI, Semantic Kernel, or similar)
• Solid understanding of LLMs and prompt engineering; multi-agent systems and orchestration patterns; API integration and distributed systems
• Experience building production-grade AI systems or microservices
• Strong problem-solving skills and ability to work in complex, evolving environments
• 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

Responsibilities

• Design and implement agentic AI systems capable of planning, reasoning, and executing multi-step tasks
• Develop and optimise AI agent workflows, including tool usage, memory management, and orchestration
• Comfortable with Remote Procedure Calls (RPC) such as gRPC for integrating with software ecosystem
• Implement real-time decision engines and intelligent automation frameworks
• Evaluate and improve agent performance through testing, benchmarking, and iteration
• Contribute to system architecture, ensuring robustness, scalability, and security
• Stay current with the latest advancements in agentic AI, LLMs, and autonomous systems, and apply them where relevant

Skills

Python

C

C++

Golang

Java

Agentic AI frameworks

LLMs

Prompt engineering

Multi-agent systems

API integration

Distributed systems

Microservices

Docker

Cloud platforms

Vector databases

Embeddings

Retrieval systems

Education

Bachelor's Degree in Information Technology or relevant fields

Tools

LangChain

AutoGen

CrewAI

Semantic Kernel

Job description

Role Summary

This role sits at the intersection of AI research, software engineering, and system design, with a strong focus on agent-based architectures and real-world deployment. Beyond core technical expertise, our client is seeking a candidate who is curious, experimental, and forwardthinking.

Main Responsibilities

• Design and implement agentic AI systems capable of planning, reasoning, and executing multi-step tasks.
• Develop and optimise AI agent workflows, including tool usage, memory management, and orchestration.
• Comfortable with Remote Procedure Calls (RPC) such as gRPC for integrating with software ecosystem.
• Implement real-time decision engines and intelligent automation frameworks.
• Evaluate and improve agent performance through testing, benchmarking, and iteration.
• Contribute to system architecture, ensuring robustness, scalability, and security.
• Stay current with the latest advancements in agentic AI, LLMs, and autonomous systems, and apply them where relevant.

Qualifications & Experience

• Bachelor's Degree in Information Technology or relevant fields.
• At least 1-2 years of relevant work experience; fresh graduates are welcome.
• 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).
• Solid understanding of LLMs and prompt engineering | Multi-agent systems and orchestration patterns | API integration and distributed systems.
• Experience building production-grade AI systems or microservices.
• Strong problem-solving skills and ability to work in complex, evolving environments.
• 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.

Research & Innovation Expectations

• Actively keeps up with recent research trends in Agentic AI, LLM orchestration, and autonomous systems.
• Evaluates and prototypes emerging techniques from academic and industry research.
• Brings forward new ideas and improvements to enhance system capabilities.

Key Attributes

• Strong ownership mindset and ability to deliver end-to-end solutions.
• Curiosity-driven with a passion for emerging AI technologies.
• Ability to balance research insights with practical implementation.
• Effective communicator with a collaborative approach.