Full Time AI Engineer Jobs, in Mercedes-Benz Malaysia Selangor - Maukerja

About Us

Mercedes-Benz Tech Malaysia (MBTMY), established in 2003, is a global technology hub within the Mercedes-Benz Group. We play a key role in the company’s digital transformation by delivering innovative digital solutions across the entire value chain.

With over 300 technology professionals, MBTMY contributes to a wide range of areas including software engineering, data and analytics, cybersecurity, cloud infrastructure, DevOps and artificial intelligence. From enhancing in-car digital experiences to improving global vehicle sales platforms and advancing AI and security initiatives, our teams help drive high-impact technology solutions for Mercedes-Benz worldwide. Our culture is built on agility, collaboration and continuous learning.

We provide an environment where innovation can flourish, supported by strong technical leadership, cross-functional teamwork and a shared commitment to quality and excellence. We also offer flexible hybrid work arrangements, allowing team members to balance remote work with in-person collaboration at our vibrant Wisma Mercedes-Benz office in Puchong. A space designed to inspire creativity, innovation and meaningful connection.

Job Description

• Design and implement end-to-end AI systems including inference pipelines, agent workflows, and tool-calling architectures
• Build and manage context orchestration for LLMs (system prompts, memory, retrieval, and structured inputs)
• Engineer latency-aware and cost-efficient fallback strategies across models and providers.
• Develop backend services for prompt routing, response handling, and tool execution (Python / Node.js or similar)
• Implement observability for AI systems: logging, metrics, tracing, and quality monitoring
• Maintain CI/CD pipelines for AI services and ensure safe, repeatable deployments
• Design, develop, integrate and deploy AI-powered software solutions into productive, scalable enterprise environments
• Translate business and product requirements into robust AI system designs and architectures
• Collaborate closely with data scientists, software engineers, product owners, and business stakeholders
• Ensure compliance with applicable rules in the areas of data protection, AI governance, and IT security
• Document architectures, models, and implementation decisions in a target-group-adequate form

Qualifications

• 2+ years in software engineering, including hands-on experience with AI/ML or LLM systems
• Bachelor’s/Master’s in Computer Science, Data Science, or related field
• Experience with LLMs, prompt engineering, tools, and agent-style architectures
• Experience in Agile, product-driven teams
• Familiarity with enterprise-scale architectures, DevOps, and CI/CD

Specific knowledge/ Skill

• Proficient in Python
• Experience with LLMs, NLP, or semantic models
• Skilled in fine-tuning and evaluating LLMs, including quality and failure modes
• Able to build automated AI pipelines for training, testing, deployment, and monitoring
• Familiar with cloud platforms and containers
• Analytical thinker; committed to robust, reliable software
• Strong communicator with a customer focus
• Results-driven, emphasizing scalable, maintainable solutions
• Actively follows and adopts new AI advancements

Bonus points if you have

• Experience with LLM APIs such as OpenAI, Claude, or similar providers
• Hands-on work with RAG systems, vector databases, and embedding pipelines
• Exposure to model safety, guardrails, or responsible AI practices

Technical

• Python
• SQL / NoSQL
• REST APIs and backend integration
• LLM-based solution development
• Spark / Apache ecosystem
• Cloud Computing
• GPU orchestration and cost optimization
• Containerization (Docker, Kubernetes)
• CI/CD and DevOps tooling
• Scalable data and AI architectures

Disclaimer: This position is an outsourced contract role under a third-party employment arrangement. The selected candidate will be assigned to support and work closely with Mercedes-Benz Malaysia, following Mercedes-Benz's project requirements and day-to-day operations.