Full Stack AI Engineer

AIM Global Talent; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

AIM Global Talent is seeking an experienced engineer to advance AI infrastructure, spanning LLM apps, multimodal interfaces, and backend services. You will drive productizing research capabilities into user-facing products, focusing on performance, cost, and delivery efficiency across training, inference, and agentic systems.

Join a fast-growing team that values rapid iteration, strong technical culture, and cross-disciplinary collaboration across research and production engineering.

Qualifications

• Proficient in Python / Golang / TypeScript; strong full-stack capability across business systems.
• Backend & frontend expertise: API design, permission control, task scheduling, async processing, caching, logging, governance.
• AI application engineering: LLM app development, Prompt engineering, Tools/Skills/Workflows.
• AI-native development: familiarity with AI-assisted development practices.

Responsibilities

• Build full-stack AI product capabilities — LLM / multimodal / Agent UI, backend APIs, workflows.
• Build application infrastructure — Prompt / Skills / MCP / Tools integration, moving models from prototype to product.
• Develop scalable backend services — auth, quotas, caching, async tasks, data processing, governance, canary releases.
• Drive AI-native engineering paradigms — vibe coding tools, Agentic Workflows, human-in-the-loop practices.
• Productize complex AI scenarios — optimize performance, cost, interaction quality, and delivery.

Skills

Python

Golang

TypeScript

Full-stack development

API design

React

Next.js

Vue

Redis

PostgreSQL

MySQL

MongoDB

CI/CD

Docker

Kubernetes

Prometheus

Grafana

AI application engineering

Tools

Git

CI/CD pipelines

Docker

Kubernetes

Job description

Our client is a fast-growing AI infrastructure company building foundational systems for large-scale model training and deployment. The team works at the intersection of applied AI research and production engineering — turning cutting-edge model capabilities into robust, scalable infrastructure that powers real-world AI products. Backed by a strong technical culture and rapid iteration pace, the company is expanding its engineering team to support growing infrastructure and platform demands across training, inference, and agentic systems.

Responsibilities

• Build full-stack AI product capabilities — LLM / multimodal / Agent UI, backend APIs, task workflows, state management, and service integrations
• Build application infrastructure — Prompt / Skills / MCP / Tools integration, driving models from experimental prototypes to stable, deliverable product capabilities
• Build scalable backend services — auth, quotas, caching, async tasks, data processing, service governance, canary releases, monitoring, and alerting
• Drive AI-native engineering paradigms — vibe coding tools, Harness Engineering, Agentic Workflows, and Human-in-the-Loop practices
• Productize complex AI scenarios — translate research capabilities into stable, user-facing products; continuously optimize performance, cost, interaction quality, and delivery efficiency

Requirements

• Proficient in Python / Golang / TypeScript (one or more), with full-stack collaborative development experience across complete business systems
• Backend & frontend: API design, permission control, task scheduling, async processing, caching, logging, service governance, microservice architecture; familiar with React / Next.js / Vue
• AI application engineering: LLM app development, Prompt engineering, Tool Use, Skills, MCP, Workflow / Agent patterns; strong interest in adopting emerging AI technologies
• AI-native development: proficient with vibe coding tools, with AI-assisted development deeply integrated into daily engineering practice
• Data storage & modeling: MySQL / PostgreSQL + Redis / MongoDB, with basic modeling and performance optimization skills; vector retrieval experience is a plus
• Delivery & observability: Git, Docker, CI/CD; basic Kubernetes; Prometheus / Grafana monitoring

Nice to Have

• Experience delivering AI products, Agents, Copilots, workflow systems, or multimodal applications
• Familiarity with the MCP ecosystem, or hands-on experience with Skills / Tools / Plugins / Function Calling
• Practical understanding of Harness Engineering, Human-in-the-Loop practices, or Agentic Coding Workflows
• Experience building complex platform systems, admin portals, or AI applications
• Deep expertise in frontend engineering, infrastructure, or data pipelines beyond your primary language
• Open-source contributions, technical blog posts, papers, or talks demonstrating continuous learning
• Strong sensitivity to AI product experience — caring about user value and business outcomes, not just technical implementation

AIM Global Talent Pte. Ltd. | EA Licence No. 25C3207