Generative AI Engineer

Job not on LinkedIn

🔥 5 minutes ago

🇧🇷 Brazil – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🗣️ LLM Engineer

🗣️🇧🇷🇵🇹 Portuguese Required

Where this job comes from

Posted on cVortex's careers page ↗cVortex's careers page, not through a job board

First seen by Remote Rocketship 5 minutes ago

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Logo of cVortex

cVortex

51 - 200 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

cVortex is an omnichannel customer service platform that centralizes and automates customer interactions across WhatsApp, Facebook/Instagram, Telegram, email, voice and other channels. The company combines AI-powered chatbots, workflow automation and a Copilot assistant to create conversational flows, automate responses, route tickets, and provide real-time analytics and reporting. cVortex is a Meta/WhatsApp Business API partner and offers integrations, implementation and national support for enterprises in sectors like finance, healthcare, education and ISPs.

📋 Description

• Develop and implement Generative Artificial Intelligence solutions using LLMs, agent architectures, and advanced RAG techniques. • Implement AI solutions using text, audio, images, video, and voice capabilities from LLMs provided by OpenAI, Anthropic, Google, and similar providers. • Build solutions based on AI agent architectures, including autonomous multi-agent systems capable of planning, reasoning, and task execution. • Integrate different models, APIs, and AI technologies. • Recruit and train team members as needed. • Continuously research and learn about generative AI technologies. • Contribute to the technical evolution of products and the advancement of generative AI applications.

🎯 Requirements

• Extensive experience with the OpenAI, Gemini, Claude, and similar APIs. • Proven experience developing RAG applications and using vector databases such as Pinecone, Weaviate, Milvus, Qdrant, or Chroma. • Proven experience with LangChain, including LangSmith or Langfuse, for building generative AI solutions, including AI agents. • Experience with LangGraph implementing patterns such as Supervisor-Driven Network, Tree-of-Thoughts, and Chain-of-Agents. • Experience with the MCP protocol. • Proficiency in Python. • Willingness to learn and a commitment to continuous development in Artificial Intelligence technologies. • Flexibility and adaptability to work in a dynamic, constantly evolving environment. • Ability to collaborate and share knowledge, contributing to the team’s technical development. • Degree in Computer Science, Information Systems, or a related field.

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