LLM Engineer Google Cloud Platform & Vertex AI

We are seeking a highly skilled LLM Engineer with deep experience in Google Cloud Platform (Google Cloud Platform) and Vertex AI to build, fine-tune, and deploy cutting-edge Generative AI applications. You will work on scalable machine learning pipelines, custom LLM integrations, and AI-based solutions across a variety of domains.

Key Responsibilities:

• Design, develop, and deploy LLM-based applications using Vertex AI, Generative AI Studio, and Google Cloud Platform services

• Fine-tune and optimize foundation models (PaLM, Gemini) for business-specific tasks

• Build end-to-end ML pipelines: data ingestion, preprocessing, training, evaluation, and serving

• Implement prompt engineering, embedding-based retrieval, and RAG pipelines

• Integrate AI models into production systems with CI/CD and MLOps best practices

• Collaborate with data scientists, ML engineers, and DevOps teams to deploy scalable solutions

• Ensure model governance, monitoring, and responsible AI compliance

Required Skills:

• 5 years in ML/AI engineering with recent experience in LLMs and Generative AI

• Strong hands-on experience with Vertex AI, BigQuery, GCS, and Cloud Functions

• Experience fine-tuning LLMs (e.g., BERT, GPT, PaLM) using tools like Keras, PyTorch, or TFX

• Familiarity with RAG (Retrieval Augmented Generation) and LangChain/LLamaIndex

• Proficient in Python, REST APIs, and Google Cloud Platform SDKs

• Working knowledge of MLOps on Google Cloud Platform

• Bachelor's or Master s in Computer Science, AI/ML, or related field

Nice to Have:

• Google Cloud Platform Professional Machine Learning Engineer certification

• Experience with multi-modal models, Vision-Language tasks, or chatbot development

• Exposure to GKE, Cloud Run, and Kubeflow Pipelines

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