AI Agent Engineer

1. Lead end-to-end technical delivery for clients, including solution architecture, system integration, implementation, testing, and deployment;

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. Design and implement scalable big data processing solutions for high-volume datasets, including batch and real-time streaming pipelines;

4. Conduct technical deep-dive sessions with CTOs, technology leads, and engineering teams, covering SaaS implementation, architecture, performance optimization, security, and compliance;

5. Design solutions that integrate multiple enterprise systems, platforms, data sources, and third-party services;

6. Develop high-volume, high-performance, low-latency, reliable, and mission-critical applications;

7. Write maintainable, robust, secure, and testable code;

8. Review code, technical designs, and test cases to ensure engineering quality;

9. Introduce processes, solutions, and tools that improve software delivery efficiency, reliability, and quality;

10. Collaborate with client, offshore, and cross-functional teams throughout the delivery lifecycle.

职位描述

1. Singapore Citizen or Singapore Permanent Resident. Candidates requiring employment pass sponsorship will not be considered;

2. At least 5 years of relevant software engineering, solution architecture, or technical delivery experience;

3. Strong Java programming skills, a solid understanding of design patterns, and proficiency in Spring or another mainstream Java framework;

4. Hands-on experience designing or developing AI Agent solutions. Experience gained through proofs of concept (PoCs), prototypes, or production projects is acceptable;

5. Practical knowledge of AI Agent technologies and patterns, such as LLM integration, prompt engineering, RAG, tool/function calling, agent orchestration, and evaluation;

6. Hands-on experience with large-scale data processing and data pipelines, using technologies such as Kafka, Spark, Flink, Hadoop, or equivalent platforms;

7. Solid experience in distributed systems architecture and complex system integration;

8. Ability to design and deliver scalable, reliable, high-performance solutions tailored to specific client scenarios and requirements;

9. Ability to conduct whiteboard architecture reviews and technical workshops with client engineers and technology leaders;

10. Strong communication and presentation skills, with the ability to explain complex technical solutions clearly to both technical and non-technical audiences;

11. Proven ability to collaborate effectively with offshore and cross-functional teams, adapt to dynamic environments, and remain resilient under pressure;

12. Strong commitment to engineering quality, continuous improvement, and positive team collaboration;

13. Willingness to travel for client meetings and onsite support when required;

14. Fluency in English is mandatory. Proficiency in Mandarin is highly advantageous when engaging with Mandarin-speaking clients and stakeholders.