AI Platform Engineer – LLM & Multi‑Model Architecture

About the role

We are looking for an experienced AI Platform Engineer to design, build, and scale advanced AI systems that leverage Large Language Models (LLMs). You will work on robust multi‑model architectures, orchestrate AI workflows, and integrate enterprise knowledge systems while ensuring platform reliability, determinism, cost efficiency, and strong governance.

Key responsibilities

• Develop and maintain multi‑model architecture and LLM orchestration pipelines.
• Integrate knowledge fabric and data stores for Retrieval‑Augmented Generation (RAG) use cases.
• Implement Model Context Protocol (MCP) and support the broader AI tool ecosystem.
• Design and manage agentic and multi‑agent orchestration systems.

Required profile

• Strong background in AI, generative models and large‑scale system design.
• Hands‑on experience with AI orchestration frameworks such as LangChain, Semantic Kernel or LlamaIndex.
• Proficiency in cloud platforms (AWS, Azure, or GCP) and building scalable distributed services.
• Bachelor’s degree in Engineering or related field.

Required skills

• Large Language Models (LLMs) and generative AI platforms
• LangChain, Semantic Kernel, LlamaIndex
• Vector databases and Retrieval‑Augmented Generation (RAG) architectures
• Cloud services: AWS, Azure, GCP
• Python programming
• API‑based system integration
• Design of scalable distributed systems

What we offer

• Opportunity to work within Bosch’s global AI ecosystem.
• Access to cutting‑edge technologies and a collaborative engineering environment.
• Competitive compensation and benefits package.