Data Developer ( Backend & AI)

Salary: RM 6,000 – RM 8,000 per month

Benefits of this role:

• 13th Months Salary (upon Company Declaration)

• Project Incentive (upon Company Declaration based on project performance)

• Transport, Meal, Birthday Allowances (upon Confirmation)

• Sports Activities (Badminton & Basketball), Company Outing

• Training and certification sponsored by company (Selected employees).

• Rewards and recognition: Long Service Award / Best Performer Award / Role Model Awards etc

• Medical Insurance (upon Confirmation)

• Optical, Dental, Body Check Up Claim (upon Confirmation)

About the Team

We’re a 35+ person in-house Data & AI team supporting business operations across global markets — and we’re continuing to grow.

Our data platform processes billions of records daily across Alibaba Cloud and AWS, using technologies such as MaxCompute, Hologres, Kafka/Pulsar, and Flink to support real-time analytics, risk control, and business decision-making.

Beyond data infrastructure, we build our own BI, AI and Agent platforms, including natural-language data analysis powered by LLMs and MCP. Our team also works on ad attribution, churn & retention modelling, LLM-powered customer service, and agent-driven risk control.

You’ll work in an environment covering data warehousing, stream processing, ML, graph analytics, LLMs, and AI Agents — all running in real production environments.

If you’re looking to work with modern technologies, large-scale data, and AI systems with direct business impact, we’d love to hear from you.

Key Responsibilities

Backend & Data Pipeline Development

• Assist in designing and developing scalable backend services and real-time/ batch data pipelines for data collection, processing, and analysis, with a focus on Flink-based real-time data processing.

• Support the creation of RESTful APIs or microservices that enable smooth data integration between systems, AI agent components, and real-time data streams.

• Contribute to the development of backend components using Python, Java (for Flink development), and where applicable, Golang (Go).

• Help implement and maintain ETL (Extract, Transform, Load) processes, as well as real-time ELT/ streaming data ingestion using Apache Flink, Flink SQL, Kafka, and Redis.

• Write clean, efficient, and well-documented code following best software development practices, including Flink job development and SQL optimization for real-time pipelines.

• Assist in designing and maintaining real-time data pipelines with Apache Flink: develop Flink jobs (Java) and write Flink SQL for real-time data transformation, aggregation, and delivery.

• Understand fundamental principles of Apache Kafka (message queuing, topic management, stream processing) and Redis (in-memory data storage, caching, data structures) to support real-time data pipeline development and optimization.

AI Agent Development

• Assist in designing and building AI agents and multi-agent workflows that automate complex data and business processes.

• Contribute to integrating Large Language Models (LLMs) into backend systems using frameworks such as LangChain, LlamaIndex, or similar agentic libraries.

• Help develop tool-use and function-calling capabilities that enable AI agents to interact with internal APIs, databases, and external services.

• Support the implementation of memory, context management, and retrieval-augmented generation (RAG) pipelines to enhance agent performance.

• Assist in evaluating, monitoring, and iterating on AI agent behaviour, accuracy, and reliability in production environments.

Database & Data Management

• Work with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB) to design and maintain structured data storage, including those supporting AI agent state and memory.

• Support database optimization tasks, including query tuning and performance monitoring.

• Contribute to maintaining data warehouses used for reporting, analytics, and AI model grounding.

Automation & Monitoring

• Assist in automating data processing tasks, backend workflows, and AI agent orchestration to improve efficiency.

• Monitor backend system performance and help resolve issues in data pipelines (both batch and real-time), integrations, and agent execution flows.

Collaboration & Learning

• Collaborate with data engineers, ML engineers, analysts, and software developers on cross-functional projects involving both data and AI systems.

• Participate in code reviews, design discussions, and technical documentation.

• Continuously learn new tools, frameworks, and technologies across backend, data (including real-time processing), and AI agent development.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or a related field.

• Basic knowledge of Python and SQL; proficient in Java (for Flink development) and hands-on experience with Flink SQL is required.

• Familiarity with backend frameworks (e.g., FastAPI, Django, or Flask) is a plus.

• Experience or interest in Golang (Go) development is a strong advantage.

• Understanding of fundamental principles of Apache Kafka (streaming data) and Redis (in-memory caching/storage) is required.

• Exposure to AI/LLM frameworks (e.g., LangChain, LlamaIndex, OpenAI API, or Anthropic API) or an enthusiasm to learn is highly desirable.

• Understanding of data pipelines, ETL/ELT concepts, and database systems (with emphasis on real-time data processing).

• Familiarity with agentic concepts such as RAG, tool use, prompt engineering, or multi-agent orchestration is a bonus.

• Exposure to cloud platforms (AWS, GCP, or Azure) or container tools (Docker, Kubernetes) is advantageous but not required.

• Strong analytical thinking, attention to detail, and a passion for learning.

• Ability to work collaboratively in a team environment and adapt to new challenges.

• Enthusiasm for backend, data (including real-time processing), and AI development, with an interest in applying these skills to real-world projects and gaming technologies.