AI / LLM Engineer (Google Cloud Platform)

Position: AI / LLM Engineer (Google Cloud Platform) Location: Remote Overview: We are looking for a hands-on AI / LLM Engineer to help design and build practical AI-driven solutions within an existing Google Cloud Platform environment. This role will focus on developing real-world use cases using LLMs, RAG architectures, and agentic workflows to enhance internal tools, automation, and data-driven applications. Key Responsibilities: Design and build AI/LLM-based solutions, including RAG pipelinesDevelop and prototype agentic AI workflows for automation and decisioningIntegrate LLM solutions with existing Google Cloud Platform data platforms (BigQuery, Dataflow)Work with structured and unstructured data to enable intelligent retrieval and insightsCreate, test, and optimize prompt engineering strategiesCollaborate with backend and data engineering teams to embed AI capabilities into applicationsRequired Skills: Experience with AI/ML and LLMs (OpenAI, Vertex AI, or similar)Hands-on experience with RAG (Retrieval-Augmented Generation)Strong experience with Google Cloud Platform (BigQuery, Dataflow, Vertex AI preferred)Experience with AI orchestration tools (LangChain, LlamaIndex, or similar)Proficiency in Python (preferred) or backend developmentExperience with APIs and integrating AI into applicationsNice to Have: Experience building agent-based or multi-step AI workflowsFamiliarity with vector databases (Pinecone, Weaviate, Vertex AI Vector Search)Background in backend development (Java/Spring Boot)Experience working in data engineering environments