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