Cientista de Dados - Agentic AI
New
BrazilFull-Time
Salary not disclosed
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Job Details
- Languages
- Intermediate or advanced Spanish proficiency (nice to have)
- Required Skills
- PythonMachine LearningNLPLLMGenerative AILangChain
Requirements
- Solid hands-on experience with Generative AI and Large Language Models (GPT, Claude, Llama, Gemini, or similar).
- Proven experience building AI agents or multi-agent systems in production or advanced prototyping environments.
- Advanced proficiency in Python for AI/ML development.
- Strong experience with RAG, prompt engineering, tool calling, contextual memory, and conversational systems.
- Hands-on experience with agent orchestration frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or Semantic Kernel.
- Experience integrating AI solutions with APIs and cloud AI services such as OpenAI, AWS Bedrock, Vertex AI, Azure AI, or Hugging Face.
- Strong foundation in Machine Learning, Deep Learning, NLP, and information retrieval systems.
- Experience applying LLMOps/AgentOps practices in production environments.
Responsibilities
- Design and develop Agentic AI systems, including autonomous agents and multi-agent architectures capable of planning, reasoning, and executing complex tasks.
- Build and optimize GenAI pipelines using Retrieval-Augmented Generation (RAG), vector databases, and knowledge graph structures.
- Implement intelligent assistants and domain-specific agents for automation, decision support, conversational interfaces, and insight generation.
- Develop integrations between AI systems and external tools, APIs, and enterprise platforms using tool-calling and orchestration frameworks.
- Work with modern agent frameworks such as LangChain, LangGraph, CrewAI, AutoGen, and Semantic Kernel to build scalable AI solutions.
- Prototype and deploy Python-based AI applications integrated with cloud services and machine learning infrastructure.
- Implement LLMOps/AgentOps practices, including monitoring, evaluation, observability, versioning, and governance of AI systems.
- Research and apply emerging techniques in Agentic AI, multimodal models, and advanced generative AI architectures.
- Collaborate with data scientists, engineers, and business stakeholders in cross-functional squads to deliver impactful solutions.
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