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Generative AI Engineer

Gowri ErepalliUnited StatesSENIORPosted 13d ago
Generative AILarge Language Models (LLMs)PythonPrompt EngineeringRetrieval-Augmented Generation (RAG)EmbeddingsVector DatabasesLangChainLlamaIndexNatural Language Processing (NLP)LLM EvaluationAI GuardrailsREST APIsModel Integration
About the Role We are looking for an experienced Generative AI Engineer to design, develop, and deploy production-ready AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and modern AI technologies. Key Responsibilities • Design and develop AI-powered applications using LLMs and foundation models • Build and optimize RAG pipelines to retrieve relevant information from enterprise documents and data sources • Develop effective prompts and workflows to improve the accuracy and reliability of AI-generated responses • Integrate AI models with backend services, APIs, databases, and enterprise applications • Evaluate model performance based on response quality, accuracy, latency, cost, and reliability • Implement AI guardrails, output validation, access controls, and safety measures • Optimize model inference, context handling, embeddings, and retrieval performance • Collaborate with data scientists, software engineers, and business teams to deliver production-ready AI solutions • Monitor deployed AI applications, troubleshoot issues, and continuously improve performance • Maintain technical documentation, reusable components, and testing standards Requirements • 9+ years of professional experience in software engineering, AI/ML, or related technical roles • Strong Python programming and API integration skills • Hands-on experience with LLMs, RAG, embeddings, and vector search • Experience evaluating and optimizing generative AI applications • Strong analytical, problem-solving, and communication skills

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