Responsibilities:
- Design, develop, and deliver end-to-end product features across frontend, backend, and AI integrations.
- Build AI-native product features that extend beyond conversational interfaces into persistent, goal-driven workflows.
- Design and implement intelligent agent workflows capable of planning, tool utilisation, failure handling, and recovery across multiple steps.
- Integrate Large Language Models (LLMs), memory capabilities, Retrieval-Augmented Generation (RAG), and external tools into reliable production systems.
- Develop real-time AI interactions with streaming responses, partial results, and low-latency performance.
- Improve AI response times while maintaining output quality and reliability.
- Build robust fallback, monitoring, observability, and recovery mechanisms for AI models and external tool failures.
- Continuously improve the reliability and success rate of AI-driven workflows through monitoring, evaluation, and iterative enhancements.
- Develop scalable architecture and reusable patterns for integrating LLMs, memory, and external services into production systems.
- Collaborate closely with Machine Learning, Backend, and Product teams to deliver high-quality product features.
- Continuously enhance product performance based on production usage, user feedback, and real-world system behaviour.
- Contribute to delivering a proactive, dependable, and consistent AI user experience.
Requirements:
- Proven experience in full stack software engineering, covering both frontend and backend development.
- Strong understanding of software architecture, system design, and API development.
- Experience working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, or AI-powered applications.
- Ability to make sound engineering decisions in ambiguous and rapidly evolving environments.
- Strong ownership mindset with the ability to take features from concept through to production deployment.
- Comfortable working in a fast-paced environment with evolving business and technical requirements.
Technical Environment
- Next.js
- Python
- Node.js
- PyTorch
- OpenAI, Anthropic and open-source Large Language Models (LLMs)
- SQL & NoSQL databases
- Kubernetes
- Docker
To apply, please visit and search for Job Reference: W34W69RW
To learn more about this opportunity, please contact Yingying at [Confidential Information]
We regret that only shortlisted candidates will be notified.
GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239
