AI Engineer

TEKsystems; Hong Kong; On-site; HKD 600,000 - 900,000; Full time

Job summary

TEKsystems in Hong Kong is seeking an AI Engineer to join a growing team delivering enterprise AI solutions across regions. You will help scale an existing AI platform, adapt it for different user groups, and collaborate with business units to drive impact.

You will own backend services and AI workflows, design agent orchestration with Python/FastAPI, integrate data sources, and ensure performance, reliability, and observability in production environments.

Qualifications

• 3+ years in AI, ML, or backend engineering.
• Production-grade app experience.
• Strong Python with FastAPI and async programming.
• Experience with LangGraph/LangChain.
• SQL skills with PostgreSQL or Databricks.
• API design and integration.
• CI/CD, Docker, and deployment know-how.
• Testing: unit, integration, API, performance.
• Observability using Langfuse or Grafana.
• English and Chinese communication.

Responsibilities

• Collaborate with stakeholders to translate requirements into AI-driven solutions.
• Design and enhance AI agent workflows.
• Develop backend services and APIs using Python.
• Integrate AI agents with data sources and external systems.
• Deploy, monitor, and optimize AI applications in production.
• Implement testing strategies and performance improvements.
• Ensure scalability and low-latency through optimization.
• Coordinate with frontend for API design and integration.

Skills

Python (FastAPI)

LangChain/LangGraph

SQL (PostgreSQL/Databricks)

APIs

CI/CD & Docker

Testing methods

Performance tuning

Observability tools

English & Chinese

Backend engineering

Tools

Langfuse

Grafana

Docker

Job description

AI Engineer

Join a growing AI team responsible for developing and scaling enterprise AI solutions that support business decision-making across multiple regions and functions. This role will focus on enhancing and expanding an existing AI platform, adapting it for different user groups, business requirements, and operational environments.

• Global Project Exposure
• High Paying Salary
• AI Project

You will work across the full AI product lifecycle, from agent workflow design and backend development to deployment, performance optimization, monitoring, and production support.

Responsibilities

• Collaborate with business stakeholders to understand requirements and translate them into AI-driven solutions.
• Design, build, and enhance AI agent workflows using existing frameworks and architectures.
• Develop and maintain backend services and APIs using Python and FastAPI.
• Integrate AI agents with internal data sources, databases, and external systems.
• Configure and adapt business logic, workflows, and data models to support multiple business teams and regions.
• Deploy, monitor, troubleshoot, and optimize AI applications in production environments.
• Implement testing strategies, including unit, integration, API, and performance testing.
• Improve system scalability and performance through caching, asynchronous processing, and latency optimization.
• Evaluate and enhance AI output quality, accuracy, explainability, and reliability.
• Monitor and mitigate hallucination risks while balancing response quality, performance, and cost.
• Work closely with frontend and cross-functional teams on API design and integration.
• Maintain observability and monitoring using modern logging and monitoring tools.

Requirements

• 3+ years of experience in AI, machine learning, backend engineering, or a related field.
• Proven experience building and supporting production-grade applications.
• Strong Python development skills, including FastAPI and asynchronous programming.
• Hands-on experience with LangGraph and/or LangChain.
• Experience designing agent workflows, prompt engineering, and tool/function calling.
• Strong SQL skills, ideally with PostgreSQL, Databricks SQL, or similar platforms.
• Experience developing and integrating APIs.
• Good understanding of CI/CD pipelines, Docker, and production deployment practices.
• Experience with testing methodologies, including unit, integration, API, and performance testing.
• Knowledge of performance optimization, scalability, and distributed systems concepts.
• Experience with monitoring and observability tools such as Langfuse and Grafana.
• Ability to communicate in English and Chinese (Cantonese or Mandarin).
• Strong problem-solving skills and the ability to work effectively in a collaborative environment.