GenAI Engineer: LangChain & LangGraph

TEKsystems; Hong Kong; Hybrid; HKD 420,000 - 660,000; Full time

Benefits offered by this job

Flexible working arrangement

Job summary

TEKsystems is seeking an AI Engineer to join its growing AI and GenAI team within a large global retail organization. You will build production-grade AI applications and agentic workflows with a focus on reliability and scalability.

The role offers a flexible working environment with autonomy and collaboration across Data Science, backend, and platform teams, enabling delivery of cutting-edge GenAI solutions.

Qualifications

• 2-3+ years of experience in AI Engineering, Machine Learning Engineering, or Backend Engineering.
• Hands-on experience with LangChain or LangGraph.
• Able to work Independently and learn quickly.

Responsibilities

• Productionize AI and agent workflows into reliable backend services and pipelines
• Deploy and manage environments across development, testing, and production environments with proper version control and release tracking
• Implement business-specific configurations, SQL templates, and model logic
• Build secure access-control and validation workflows for data and application services
• Improve platform reliability through robust error handling, retry mechanisms, and fail-safe processes
• Develop automated testing and performance testing capabilities
• Monitor AI applications, pipelines, model usage, and operational performance
• Optimize system performance through caching, asynchronous processing, and infrastructure tuning
• Collaborate with Data Scientists, Front End Engineers, Business Analysts, QA, and platform teams

Skills

LangChain

LangGraph

Independent worker

Willingness to Learn

Job description

TEKsystems is seeking an AI Engineer to join its growing AI and GenAI team within a large global retail organization. You will build production-grade AI applications and agentic workflows with a focus on reliability and scalability.

The role offers a flexible working environment with autonomy and collaboration across Data Science, backend, and platform teams, enabling delivery of cutting-edge GenAI solutions.