Mercedes-Benz AG Hiring in Beijing (Onsite) for Software Engineer (Data & AI) role in 2026. Join Mercedes-Benz AG in Beijing to develop cutting-edge Generative AI and LLM applications.

Mercedes-Benz AG Hiring Software Engineer (Data & AI) in Beijing – 2026 Opportunity

Beijing – Mercedes-Benz AG Hiring in Beijing (Onsite) for an exceptional Software Engineer (Data & AI) position starting in 2026. This Mercedes-Benz AG Hiring For Software Engineer (Data & AI) opportunity offers talented engineers the chance to work on revolutionary artificial intelligence and machine learning projects at one of the world’s leading automotive companies. The Mercedes-Benz AG in Beijing office is seeking innovative professionals with 6+ years of experience to develop next-generation AI solutions that will transform the automotive industry.

Role Overview: Software Engineer (Data & AI) at Mercedes-Benz AG

Hiring Mercedes-Benz AG is looking for exceptional talent to join their Data & AI team in Beijing. As a Software Engineer specializing in Data and AI, you’ll be responsible for developing and evaluating Generative AI, AI, and Data use case applications. This role involves applying Large Language Models (LLMs), statistical machine learning techniques, and data analytics to address critical business challenges within Mercedes-Benz China. | also read – Mastercard Hiring Performance Analyst

Key Responsibilities

The Software Engineer (Data & AI) position encompasses several crucial areas:

Generative AI & LLM Development:

• Design, develop, deploy, and evaluate Generative AI applications using LLMs and other generative models
• Apply statistical machine learning techniques and data analytics to solve complex business problems
• Work with advanced LLM application stacks including Langchain, Dify, Huggingface, and Pytorch
• Implement techniques such as RAG (Retrieval-Augmented Generation), Embeddings, and Fine-tuning

Proof-of-Concept Leadership:

• Lead rapid development of PoC AI applications to demonstrate value and feasibility
• Take full ownership of the PoC development lifecycle from concept to demonstration
• Design and implement AI-powered prototypes efficiently using existing frameworks and cloud resources
• Evaluate and select appropriate AI/ML algorithms, tools, and technologies for optimal performance

Production-Ready AI Solutions:

• Develop and deploy AI solutions that are scalable, reliable, and maintainable in production environments
• Work with applications teams to transition successful PoCs into production-ready applications
• Ensure solutions meet performance, scalability, and cost requirements

Data Infrastructure & Pipeline Development:

• Design and implement robust data pipelines and infrastructure for high-quality data availability
• Identify and acquire relevant data sources for AI solutions
• Build and maintain data pipelines to ingest, process, and transform large datasets from various sources
• Contribute to foundation infrastructure development for future data, AI, and GenAI use cases

Innovation & Best Practices:

• Continuously research and evaluate new AI technologies to keep Mercedes-Benz China at the forefront
• Share best practices and know-how across teams
• Participate in technical discussions and governance forums as a subject matter expert

Required Qualifications

Educational Background:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Physics, Mathematics, or equivalent professional experience

Professional Experience:

• Minimum 6+ years in software engineering, data engineering, or data science
• Strong proficiency in software development principles, data structures, algorithms, and design patterns
• Expertise in AI/ML programming languages including Python, Java, and Scala

Technical Skills:

• Familiarity with LLM application frameworks and techniques
• Experience with machine learning packages (sklearn, xgboost)
• Solid theoretical fundamentals in statistical methods, machine learning, and generative models
• Strong optimization modeling and statistical modeling experience
• Expert-level data aggregation and analysis skills for large, complex, multi-dimensional datasets
• Experience with cloud platforms (Azure, AWS, and/or AliCloud)
• Proven track record deploying AI solutions in cloud environments

Soft Skills:

• Excellent communication and interpersonal skills
• Ability to effectively communicate technical concepts to both technical and non-technical audiences
• Strong collaboration skills with cross-functional teams

Why Join Mercedes-Benz AG in Beijing?

This is an exceptional opportunity to work with cutting-edge artificial intelligence technologies at one of the world’s most prestigious automotive brands. You’ll contribute to revolutionary AI solutions that will shape the future of mobility and automotive innovation in China and globally. | also read –Infosys Salary Hike 2026

How To Apply

Don’t miss this opportunity to join Mercedes-Benz AG’s innovative Data & AI team in Beijing. Apply now to be part of the future of automotive intelligence and innovation!

Frequently Asked Questions (FAQs)

Q1: What is the location for this Mercedes-Benz AG Software Engineer position?

A: This Software Engineer (Data & AI) position is based in Beijing, China, and requires onsite presence. Mercedes-Benz AG Beijing office offers a dynamic work environment with access to cutting-edge AI infrastructure.

Q2: What programming languages should I be proficient in for this role?

A: Candidates should have strong expertise in Python, Java, and Scala. Familiarity with LLM frameworks like Langchain, Dify, Huggingface, Pytorch, and machine learning packages such as sklearn and xgboost is essential.

Q3: What is the minimum experience required for this Mercedes-Benz AG hiring?

A: Mercedes-Benz AG requires candidates to have a minimum of 6+ years of experience in related technical fields such as software engineering, data engineering, or data science, along with demonstrated expertise in AI/ML development.