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🎁Quarter 4 JOINING BONUS
Candidates with 4+ years of relevant experience who join BGSV by the end of 31 December 2026 can receive a Joining Bonus equivalent to 1 month’s gross salary, subject to program eligibility and terms & conditions.
Bosch Engineering Process, Methods & Tools (MS/EPM-XC) is a key enabler of engineering excellence and AI transformation within Bosch Cross-Domain Computing Solutions (XC). Our mission is to improve engineering productivity through innovative processes, tools, automation, data analytics, and AI-driven solutions.
Together with global XC organizations, we develop and operate engineering platforms, automation frameworks, DevOps solutions, data analytics systems, and Generative AI applications that help engineers deliver high-quality software faster and more efficiently.
As part of our AI Transformation journey, we leverage GenAI, intelligent agents, and advanced software engineering practices to drive the future of AI-assisted engineering across Bosch XC.
As an AI Engineer, your typical work activities include:
Developing AI-powered tools and applications for engineering use cases.
Building and integrating GenAI and AI agent solutions.
Working with data pipelines, analytics, and machine learning workflows.
Supporting AI model deployment and evaluation.
Collaborating with global teams to improve engineering productivity.
Contributing to software development, testing, and automation activities.
Learning and applying the latest AI, cloud, and DevOps technologies.
The job might be fit for you if you have:
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, or a related technical field.
Strong programming skills in Python and a solid foundation in software engineering principles.
Basic understanding of Generative AI, Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), or modern AI application development.
Familiarity with AI development frameworks and tools such as LangChain, LangGraph, Semantic Kernel, OpenAI-compatible APIs, or similar ecosystems.
Knowledge of cloud platforms, APIs, container technologies, and modern development practices.
Understanding of data processing, prompt engineering, model evaluation, and AI application lifecycle.
Experience with Git, CI/CD, testing, and collaborative software development workflows.
Strong analytical thinking, problem-solving, and debugging skills.
Excellent communication and teamwork abilities, with a proactive and growth-oriented mindset.
Passion for learning emerging technologies and applying AI to solve real-world engineering challenges.
Good English communication skills and the ability to collaborate effectively with global stakeholders.
Nice to have
Hands-on experience building AI copilots, AI agents, chatbots, or workflow automation solutions.
Familiarity with any of cloud platform like Azure AI, AWS, Google Cloud, or enterprise AI platforms.
Exposure to DevOps, MLOps, LLMOps, or software quality engineering practices.
Contributions to personal projects, open-source initiatives, hackathons, or AI communities.
Employment type
Full-time
Work arrangement
No
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