Junior/Senior AI Engineer (Mandarin Speakers only)

We are looking for a hands‑on Senior AI Engineer with software engineering and cloud development experience. This role is ideal for someone who enjoys building AI‑powered applications from end to end—from backend development and cloud deployment to integrating Large Language Models (LLMs) into real business solutions.

You will work closely with product owners and business stakeholders to design, develop, deploy, and maintain AI‑driven applications on AWS using modern cloud‑native technologies.

Key Responsibilities

• Package AI models into production‑ready services and design and develop AI‑native applications.
• Build and maintain AI application frameworks, including AI Agents, Retrieval‑Augmented Generation (RAG), and other LLM‑based architectures.
• Optimize AI model serving performance, scalability, reliability, and system stability in production environments.
• Research and explore enterprise applications of AIGC (AI‑Generated Content) and Large Language Models (LLMs) to support intelligent business solutions.
• Drive the adoption and large‑scale deployment of LLM‑powered applications to meet evolving business needs.
• Participate in the architecture design of AI‑powered business systems and establish engineering standards, development methodologies, and operational best practices for LLM applications.
• Build and enhance AI infrastructure for model deployment, service delivery, monitoring, performance optimization, scalability, and operational reliability.
• Develop and maintain AI development platforms and algorithm toolchains to support model development, training, deployment, and lifecycle management, improving engineering efficiency and delivery quality.

Required Qualifications

• Strong communication, collaboration, and problem‑solving skills with a passion for learning new technologies.
• Open to exploring emerging AI technologies beyond existing technical expertise.
• Proficient in one or more programming languages such as Python, Java, C# with strong coding practices.
• Solid understanding of computer science fundamentals, including operating systems, computer networks, algorithms, and data structures.
• Hands‑on experience designing, developing, or operating distributed systems.
• Familiar with common open‑source middleware and distributed system technologies.
• Experience independently delivering business solutions from requirements through production deployment.
• Familiar with production system operations, monitoring, troubleshooting, and DevOps best practices.

Preferred Qualifications

• Experience building AI Agents or Agentic AI workflows.
• Experience implementing Retrieval‑Augmented Generation (RAG).
• Experience with event‑driven architectures.
• Knowledge of MLOps practices.
• Experience using Terraform or AWS CDK.
• Familiarity with Behaviour‑Driven Development (BDD).

Technical SkillsAI

• Prompt Engineering

Cloud

• Cloud‑native Architecture

Programming

Nice‑to‑Have

• Experience with MCP (Model Context Protocol)
• Experience using Claude Code or GitHub Copilot
• Experience building AI‑powered internal productivity tools
• Knowledge of serverless architecture
• Experience deploying applications using AWS Bedrock
• Familiarity with monitoring tools such as Grafana, Prometheus, or Datadog
• On job training provided
• 14 days Medical Leave
• Medical Benefit (AIAInsurance)
• 13th month salary
• Increment Adjustment(After Probation and Yearly based on performance)