Senior Python Platform Engineer / Tech Lead

Lenovo; Selangor; On-site; MYR 80,000 - 120,000; Full time

Job summary

A leading global technology company in Malaysia is seeking a Techlead/Senior Python Platform Engineer to oversee backend architecture design for AI-powered systems. The role demands expertise in Python, microservices, and LLM integration. Candidates should possess 5-8 years of backend development experience and a proven track record in project leadership. Communication skills are essential for effective collaboration with global teams. This is an exciting opportunity to innovate in a fast-paced tech environment.

Qualifications

• 5+ years of backend development experience, with 3+ years in Python or AI platforms.
• Proven track record of leading end-to-end projects from conception to delivery.
• Hands-on experience with LLM API integration and RAG technologies.

Responsibilities

• Design backend architecture for eService core business systems.
• Lead integration of AI-driven capabilities for customer service.
• Collaborate with cross-functional teams to improve API and technical standards.

Skills

Expert-level proficiency in Python 3.x

Asynchronous programming

Microservices architecture design

Docker containerization

Fluent in English

Education

Bachelor's degree in Computer Science or related field

Tools

FastAPI

Django

Flask

PostgreSQL

Docker

Job description

Why Work at Lenovo

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

Description and Requirements

# Techlead/Senior Python Platform Engineer (Backend / AI)

This role owns the end-to-end architecture design and delivery of core backend platforms and AI-powered intelligent service systems for Lenovo's eService department, focusing on high-performance, scalable microservices architecture and deep integration of LLM (Large Language Models), RAG (Retrieval-Augmented Generation), and Agent frameworks to build AI-driven core capabilities including intelligent customer service Q&A systems, automated ticket classification and processing, and knowledge recommendation.

Key Responsibilities

1. Backend Architecture Design & Development

• Design and implement backend architecture for eService core business systems, building high-concurrency, highly available microservices platforms based on Python ecosystem (FastAPI / Django / Flask), covering critical modules including customer service ticketing, knowledge base management, and intelligent routing systems
• Design and optimize asynchronous task processing, message queues, caching strategies, and database architecture to ensure system performance and stability under large-scale concurrent scenarios, achieving millisecond-level response time and 99.9%+ SLA guarantees
• Establish system observability framework by integrating monitoring tools such as Prometheus and Grafana, implementing full-link log tracing, performance metrics monitoring, and intelligent alerting mechanisms

2. AI/LLM Platform Integration & Intelligent Applications

• Lead deep integration of LLM (Large Language Models), RAG (Retrieval-Augmented Generation), and Agent frameworks to build AI-driven core capabilities including intelligent customer service Q&A systems, automated ticket classification and processing, and knowledge recommendation
• Design and implement unified access layer and governance platform for multi-modal AI services, supporting flexible switching among multiple LLM providers (OpenAI / Claude / proprietary models), A/B testing, effectiveness evaluation, and cost optimization
• Explore cutting-edge technologies such as Function Calling, Multi-Agent collaboration, and complex reasoning chains to improve accuracy, recall rate, and user satisfaction of intelligent services

3. Cross-Team Collaboration & Technical Standards Governance

• Collaborate closely with frontend, data, DevOps, and product teams to establish unified API specifications, data models, interface documentation, and best practices, driving technical debt management and code quality improvement
• Develop and maintain internal toolchains and scaffolding templates, accumulating reusable middleware, SDKs, and development components to enhance overall team R&D efficiency and delivery quality
• Participate in technical reviews, code reviews, and knowledge sharing sessions, mentoring junior and mid-level engineers, and establishing technical documentation and best practices knowledge base

Qualifications

Essential Requirements

• Years of Experience: 5–8 years of backend development experience, with 3+ years specializing in Python backend or AI platform development
• Project Leadership: Proven track record of independently leading at least 2 end-to-end 0→1 projects, covering the complete lifecycle from requirements analysis, technology selection, architecture design to production delivery
• Technical Proficiency:
  1. Expert-level proficiency in Python 3.x, with deep understanding of advanced features including async/await, typing, decorators, and practical TDD experience
  2. Proficient in at least one mainstream web framework: FastAPI / Django / Flask, with understanding of internal mechanisms and performance optimization techniques
  3. Experienced in microservices architecture design and implementation, familiar with RESTful / GraphQL API design, message queues (RabbitMQ / Kafka), and caching strategies (Redis / Memcached)
• AI/LLM Domain Expertise:
  1. Hands-on experience with LLM API integration (OpenAI / Claude / Azure OpenAI, etc.), familiar with Prompt Engineering and effectiveness optimization
  2. Knowledge of RAG (Retrieval-Augmented Generation) technology stack, including vector databases (Pinecone / Milvus / Weaviate), embedding models, and similarity search
  3. Preference for candidates with Agent framework development or integration experience (LangChain / LangGraph / AutoGPT)
• DevOps & Infrastructure:
  1. Proficient in Docker containerization technology, with experience in Kubernetes (private cloud environment) deployment and operations
  2. Familiar with CI/CD pipeline setup and maintenance (Jenkins / GitLab CI / GitHub Actions)
  3. Capable of database design and optimization (PostgreSQL / MySQL / MongoDB), understanding query performance tuning and indexing strategies
• Communication & Collaboration:
  1. Fluent in English (listening, speaking, reading, writing) for effective collaboration and technical communication with global teams
  2. Strong technical documentation skills, able to clearly articulate technical solutions and design rationale
  3. Cross-departmental collaboration experience, capable of driving technical decisions and standard implementation in multi-team environments
• Professional Attributes:
  1. Detail-oriented with high standards for code quality, system stability, and user experience
  2. Strong sense of responsibility and ownership, proactively identifying problems and driving solutions
  3. Excellence-oriented, continuously following industry technology trends and best practices

Nice-to-Haves

• Proficient in Vibe Coding, capable of rapidly implementing ideas and enhancing development efficiency through AI-assisted programming tools (such as GitHub Copilot, Cursor, Claude)
• Deep experience with AI development frameworks such as LangChain / LangGraph / OpenAI SDK
• Practical experience with observability tools (Prometheus / Grafana / ELK / Jaeger)
• Open source contributions, technical blog posts, academic papers, or POC innovation projects
• Familiar with MLOps / DataOps workflows, with experience in automated model training, evaluation, and deployment
• Hold industry certifications (AWS / Azure / GCP / CKA / CKAD)
• Industry experience in customer service, call centers, or intelligent customer service platforms
• Knowledge of NLP technologies such as multilingual processing, sentiment analysis, and intent recognition

Creativity & Continuous Learning

• Proactively conduct quarterly technology evaluations and emerging technology research, with the ability to rapidly learn and implement cutting-edge technologies
• Strong technical documentation skills in English, capable of producing high-quality design documents, API documentation, and technical presentations
• Actively participate in internal knowledge sharing, public speaking, or industry conferences, promoting team technical culture development
• Possess innovative thinking and experimental mindset, willing to explore new technologies and methodologies to drive continuous evolution of business and technology

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