Senior Artificial Intelligence Engineer

🕒 July 20

đŸ‡§đŸ‡· Brazil – Remote

⏰ Full Time

🟠 Senior

đŸ€– AI Engineer

đŸ‘» Ghost score 37%

infoinfo

đŸ—ŁïžđŸ‡§đŸ‡·đŸ‡”đŸ‡č Portuguese Required

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Logo of RD Station

RD Station

1001 - 5000 employees

Founded 2011

📣 Marketing

đŸ’Œ Consulting

📩 Logistics

Marketing ‱ Consulting ‱ Logistics

RD Station is a Brazilian SaaS company that provides integrated marketing automation, CRM and customer service solutions. Its platform helps businesses attract and qualify leads, run email and WhatsApp campaigns, create landing pages, automate sales processes, deploy chatbots and manage omnichannel conversations, with analytics and AI features as well as an app marketplace and developer APIs. RD Station targets companies and agencies seeking to connect marketing, sales and support workflows to drive growth and retention.

📋 Description

‱ Develop, maintain, and scale AI solutions ‱ Integrate solutions with diverse data sources through APIs, MCPs, and document databases ‱ Implement advanced prompt management strategies and A/B testing ‱ Create robust evaluation mechanisms (Evals) to continuously measure AI performance, prevent regressions, and ensure a high-quality user experience ‱ Collaborate with the engineering team on the systemic integration of models with Marketing, CRM, and Conversations products ‱ Focus on low latency and scalability when integrating models ‱ Monitor model usage and performance metrics ‱ Propose architectural improvements and technical optimizations to enhance AI capabilities ‱ Advance the AI Copilot by integrating Marketing, CRM, and Conversations solutions and delivering a seamless natural-language experience ‱ Collaborate to ensure that the AI acts as a consistent persona and transforms how customers interact with the products

🎯 Requirements

‱ Bachelor's degree in Computer Science, Engineering, Statistics, or a related field ‱ Strong experience with the full lifecycle of AI products (LLMOps), including production deployment ‱ Proficiency in Python ‱ Experience with AI frameworks and libraries such as FastAPI, LangChain, LangGraph, Phoenix, LangFuse, and Promptfoo ‱ Hands-on experience with Google Cloud Platform environments, including orchestration and computing services ‱ Analytical ability to design model evaluation workflows and refine prompts ‱ Collaborative and communicative, with the ability to move comfortably between technical challenges and building user-centered products ‱ Eager to work in an agile environment focused on diversity and solving real-world problems involving large volumes of data and interactions ‱ Previous experience developing agents or conversational systems (LLMs) is a plus ‱ Knowledge of RAG techniques and inference optimization is a plus ‱ Experience with quality evaluation tools and experiments for conversational AI agents is a plus

đŸ–ïž Benefits

‱ Holistic well-being support, with resources for emotional, financial, physical, occupational, and social self-care ‱ An environment focused on diversity, inclusion, and belonging ‱ Continuous learning and opportunities for career growth and development ‱ Autonomy to pursue results that create real value for customers and society ‱ A hiring process that includes presenting the employment offer during the Offer stage

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