AI Agent Engineer

ANT Group; Kuala Lumpur; On-site; MYR 180,000 - 300,000; Full time

Job summary

ANT Group in Kuala Lumpur is seeking a senior engineer/architect to lead end-to-end technical delivery for clients, designing AI Agent solutions and scalable data pipelines. The role requires deep technical expertise in Java, Spring, LLM integration, and distributed systems, with frequent collaboration across offshore and client teams.

Travel for client meetings and onsite support is expected; English fluency is mandatory, Mandarin is a plus.

Qualifications

• At least 5 years of relevant software engineering, solution architecture, or technical delivery experience.
• Strong Java programming skills with Spring or a similar framework.
• Hands-on experience designing or developing AI Agent solutions.
• Practical knowledge of AI Agent technologies: LLM integration, prompt engineering, RAG, tool calling, and orchestration.
• Hands-on experience with large-scale data processing and data pipelines (Kafka, Spark, Flink, Hadoop).
• Solid experience in distributed systems architecture and complex system integration.
• Ability to design scalable, reliable, high-performance solutions for client scenarios.
• Ability to conduct architecture reviews and technical workshops with client teams.
• Strong communication and presentation skills for technical and non-technical audiences.
• Proven collaboration with offshore and cross-functional teams; adaptable under pressure.
• Commitment to engineering quality and continuous improvement.
• Willingness to travel for client meetings and onsite support when required.
• Fluency in English is mandatory; Mandarin proficiency is advantageous.

Responsibilities

• Lead end-to-end technical delivery for clients, including solution architecture, integration, implementation, testing, and deployment.
• Design, prototype, and integrate AI Agent solutions for client use cases, including LLM integration and RAG.
• Design and implement scalable big data processing solutions for high-volume datasets, including batch and real-time streaming.
• Conduct technical deep-dives with CTOs and engineering teams on SaaS implementation, architecture, and security.
• Define solutions that integrate multiple enterprise systems and third-party services.
• Develop high-volume, high-performance, low-latency, mission-critical applications.
• Write maintainable, robust, secure, and testable code.
• Review code, designs, and test cases to ensure engineering quality.
• Introduce processes and tools that improve delivery efficiency and quality.
• Collaborate with client, offshore, and cross-functional teams throughout the delivery lifecycle.

Skills

Java programming

Spring framework

AI Agent solutions

LLM integration

RAG

Tool/function calling

Agent orchestration

Evaluation techniques

Distributed systems

Data pipelines

System integration

Whiteboard architecture

Client communication

Travel willingness

English fluency

Mandarin advantageous

Tools

Kafka

Spark

Flink

Hadoop

Job description

1. 1. Lead end-to-end technical delivery for clients, including solution architecture, system integration, implementation, testing, and deployment；
2. 2. Design, prototype, and integrate AI Agent solutions for client use cases, including agentic workflows, LLM integration, retrieval-augmented generation (RAG), and tool or API integration；
3. 3. Design and implement scalable big data processing solutions for high-volume datasets, including batch and real-time streaming pipelines；
4. 4. Conduct technical deep-dive sessions with CTOs, technology leads, and engineering teams, covering SaaS implementation, architecture, performance optimization, security, and compliance；
5. 5. Design solutions that integrate multiple enterprise systems, platforms, data sources, and third-party services；
6. 6. Develop high-volume, high-performance, low-latency, reliable, and mission-critical applications；
7. 7. Write maintainable, robust, secure, and testable code；
8. 8. Review code, technical designs, and test cases to ensure engineering quality；
9. 9. Introduce processes, solutions, and tools that improve software delivery efficiency, reliability, and quality；
10. 10. Collaborate with client, offshore, and cross-functional teams throughout the delivery lifecycle.

1. 1. Singapore Citizen or Singapore Permanent Resident. Candidates requiring employment pass sponsorship will not be considered；
2. 2. At least 5 years of relevant software engineering, solution architecture, or technical delivery experience；
3. 3. Strong Java programming skills, a solid understanding of design patterns, and proficiency in Spring or another mainstream Java framework；
4. 4. Hands-on experience designing or developing AI Agent solutions. Experience gained through proofs of concept (PoCs), prototypes, or production projects is acceptable；
5. 5. Practical knowledge of AI Agent technologies and patterns, such as LLM integration, prompt engineering, RAG, tool/function calling, agent orchestration, and evaluation；
6. 6. Hands-on experience with large-scale data processing and data pipelines, using technologies such as Kafka, Spark, Flink, Hadoop, or equivalent platforms；
7. 7. Solid experience in distributed systems architecture and complex system integration；
8. 8. Ability to design and deliver scalable, reliable, high-performance solutions tailored to specific client scenarios and requirements；
9. 9. Ability to conduct whiteboard architecture reviews and technical workshops with client engineers and technology leaders；
10. 10. Strong communication and presentation skills, with the ability to explain complex technical solutions clearly to both technical and non-technical audiences；
11. 11. Proven ability to collaborate effectively with offshore and cross-functional teams, adapt to dynamic environments, and remain resilient under pressure；
12. 12. Strong commitment to engineering quality, continuous improvement, and positive team collaboration；
13. 13. Willingness to travel for client meetings and onsite support when required；
14. 14. Fluency in English is mandatory. Proficiency in Mandarin is highly advantageous when engaging with Mandarin-speaking clients and stakeholders.