Generative AI Engineer

Job not on LinkedIn

🔥 2 minutes ago

🇧🇷 Brazil – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🗣️ LLM Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 43 days.
• No salary listed.

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cVortex

WebsiteLinkedInAll Job Openings

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. • Integrate different models, APIs, and AI technologies. • Implement AI solutions using text, audio, images, video, and voice capabilities from LLMs by OpenAI, Anthropic, Google, and similar providers. • Build solutions based on autonomous and multi-agent architectures capable of planning, reasoning, and task execution. • Recruit and train team members when necessary. • Continuously advance technical expertise through ongoing study of generative AI technologies.

🎯 Requirements

• Extensive experience with 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, to build 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. • Experience with Python. • Willingness to learn and a strong interest in continuous growth 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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