Generative AI Engineer
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Job Description
Engenheiro de IA Generativa desenvolvendo soluções com LLMs, agentes e RAG para a cVortex. Integrando APIs, modelos multimodais e arquiteturas avançadas de IA.
Responsibilities:
- Develop and implement Generative Artificial Intelligence solutions using LLMs, agent architectures, and advanced RAG techniques.
- Build solutions capable of planning, reasoning, and executing tasks by integrating different models, APIs, and AI technologies.
- Implement AI solutions using the text, audio, image, video, and voice capabilities of LLMs from OpenAI, Anthropic, Google, and similar providers.
- Build solutions using AI agent architectures, including autonomous and multi-agent systems.
- Implement solutions using advanced Retrieval-Augmented Generation (RAG) techniques.
- Recruit and train team members as needed.
- Maintain continuous technical development 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 an interest in 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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