Generative AI Engineer
Siemens AG (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 28–45 LPA
Posted on 17 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and deploy large language model (LLM) powered applications including chatbots, copilots, and document intelligence systems.
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines and autonomous AI workflows integrating with enterprise systems and APIs.
- Implement LLMOps practices such as monitoring, evaluation, versioning, and cost optimization while ensuring security and responsible AI governance.
Minimum Requirements
- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.
- 5+ years of software or machine learning engineering experience, with at least 1–2 years specifically in Generative AI or LLM-based systems.
- Strong Python programming skills and hands-on experience with GenAI frameworks (OpenAI, Hugging Face, Anthropic, Google, etc.), prompt engineering, embeddings/vector databases, and related architectures.
- Experience with cloud platforms (AWS, Azure, GCP), API development, microservices, and knowledge of MLOps/LLMOps practices.
Ideal Candidate Profile
- Experienced in production-grade GenAI systems emphasizing LLM integrations, prompt workflows, and enterprise data pipelines.
- Demonstrates hands-on expertise with agentic AI frameworks, multimodal AI (text and image), fine-tuning foundation models, and building AI copilots or automation systems.
- Able to collaborate cross-functionally within product, data, and platform teams to deliver scalable, secure AI business solutions in an enterprise environment.