
1001 - 5000 employees
Founded 2011
đŁ Marketing
đŒ Consulting
đŠ Logistics
Marketing âą Consulting âą 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.
đ July 20
đŁïžđ§đ·đ”đč Portuguese Required
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1001 - 5000 employees
Founded 2011
đŁ Marketing
đŒ Consulting
đŠ Logistics
Marketing âą Consulting âą 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.
âą Develop, maintain, and scale AI solutions âą Integrate solutions with diverse data sources through APIs, MCPs, and document databases âą Implement advanced prompt management strategies and A/B testing âą Create robust evaluation mechanisms (Evals) to continuously measure AI performance, prevent regressions, and ensure a high-quality user experience âą Collaborate with the engineering team on the systemic integration of models with Marketing, CRM, and Conversations products âą Focus on low latency and scalability when integrating models âą Monitor model usage and performance metrics âą Propose architectural improvements and technical optimizations to enhance AI capabilities âą Advance the AI Copilot by integrating Marketing, CRM, and Conversations solutions and delivering a seamless natural-language experience âą Collaborate to ensure that the AI acts as a consistent persona and transforms how customers interact with the products
âą Bachelor's degree in Computer Science, Engineering, Statistics, or a related field âą Strong experience with the full lifecycle of AI products (LLMOps), including production deployment âą Proficiency in Python âą Experience with AI frameworks and libraries such as FastAPI, LangChain, LangGraph, Phoenix, LangFuse, and Promptfoo âą Hands-on experience with Google Cloud Platform environments, including orchestration and computing services âą Analytical ability to design model evaluation workflows and refine prompts âą Collaborative and communicative, with the ability to move comfortably between technical challenges and building user-centered products âą Eager to work in an agile environment focused on diversity and solving real-world problems involving large volumes of data and interactions âą Previous experience developing agents or conversational systems (LLMs) is a plus âą Knowledge of RAG techniques and inference optimization is a plus âą Experience with quality evaluation tools and experiments for conversational AI agents is a plus
âą Holistic well-being support, with resources for emotional, financial, physical, occupational, and social self-care âą An environment focused on diversity, inclusion, and belonging âą Continuous learning and opportunities for career growth and development âą Autonomy to pursue results that create real value for customers and society âą A hiring process that includes presenting the employment offer during the Offer stage
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