Implementation and Optimization of Generative AI Solutions Prompt and AI Engineer Design, develop, and operationalize Generative Artificial Intelligence solutions that enable efficient, secure, and scalable interactions between Large Language Models (LLMs) and corporate applications, supporting areas such as customer service, process automation, and content creation. A Prompt and AI Engineer designs, develops, and optimizes workflows and commands (prompts) for Generative Artificial Intelligence systems. The primary objective is to create efficient, accurate, and secure interactions between language models (e.g., GPT\-4, Claude, Gemini) and corporate applications. This professional is essential for integrating AI into areas such as customer service, process automation, and content creation. Requirements and Qualifications * Practical Experience: Proven experience using LLMs (ChatGPT, Claude, Gemini, Llama) and Prompt Engineering techniques. * Programming Language: Solid knowledge of Python for automation and response manipulation. * RAG and Vectors: Familiarity with Retrieval\-Augmented Generation (RAG) architectures and Vector Databases (e.g., Pinecone, Chroma). * Communication: Excellent written communication skills, with emphasis on clarity and conciseness. * Analytical Mindset: Ability to analyze data, debug errors, and understand the logic underlying language models. Differentiators (Nice to have) * Experience with agent frameworks such as LangChain or LlamaIndex. * Knowledge of Machine Learning and Data Science concepts. * Prior experience in Customer Experience or Contact Center. Responsibilities and Duties * Prompt Design: Create, test, and refine complex prompts and "System Prompts" (system instructions) to ensure consistent, high-quality responses. • Context Engineering: Structure context (RAG, embeddings) to improve AI response relevance. • Performance Optimization: Monitor and adjust AI parameters to minimize hallucinations and systemic errors. * Agent Implementation: Develop autonomous or semi\-autonomous AI agents that orchestrate multiple steps or tools. * API Integration: Collaborate with software engineers to integrate prompts and AI models into existing platforms. * Continuous Evaluation: Analyze user feedback and AI outcomes to iterate and improve interaction quality. * The candidate must demonstrate proficiency in Python and SQL applied to automation, API integration, and data analysis, along with mandatory expertise in R. Practical experience with cloud architectures (AWS, Azure, GCP) is required; Oracle Cloud Infrastructure (OCI) is desirable. Proficiency in Apache Spark, MongoDB, and Excel is also required, alongside mandatory experience with Databricks and SAS. PowerPoint knowledge is required for executive communication, while Kafka, Power BI, and Tableau are considered desirable for supporting data architectures, streaming, and analytical visualization Minimum Education: Bachelor's Degree
João Silva
Indeed · HR
João Silva
Indeed · HR
