Cientista de Dados - Agentic AI in Brazil, Indiana at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Cientista de Dados - Agentic AI based in Brazil.

This is an opportunity for a highly innovative data science professional to work at the forefront of Agentic AI, designing and building intelligent systems capable of reasoning, planning, and autonomously executing complex tasks. In this role, you will contribute to the development of next-generation AI agents powered by large language models and advanced retrieval systems. You will be part of a collaborative, multidisciplinary environment where experimentation, research, and production-grade engineering come together. The position involves working on cutting-edge GenAI architectures, including multi-agent systems, RAG pipelines, and LLM orchestration frameworks. You will have a direct impact on how intelligent automation and decision-support systems are built and deployed across real-world applications. This role is ideal for professionals passionate about pushing the boundaries of AI, combining strong technical depth with creativity and innovation.

• 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.
• Document technical designs, experiments, and best practices to support knowledge sharing and continuous improvement.

• 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.

Differentials (nice to have):

• Experience with cloud platforms such as AWS, Azure, or GCP.
• Familiarity with data platforms like Databricks or Snowflake.
• Knowledge of vector databases such as Pinecone, Chroma, Weaviate, FAISS, or OpenSearch.
• Experience with Knowledge Graphs and graph-based data modeling.
• Exposure to scalable distributed systems and modern software architectures.
• Experience working in innovation teams or emerging technology projects.
• Intermediate or advanced Spanish proficiency.

Soft Skills:

• Strong analytical thinking with ability to solve complex technical challenges.
• Creativity to design innovative and unconventional AI-driven solutions.
• Clear communication skills to translate technical concepts into accessible language.
• Continuous learning mindset with curiosity for emerging AI technologies.

• Health insurance covering dependents.
• Meal and food allowance (Flash Benefits).
• Telemedicine platform access.
• Dental plan.
• Gym partnership (TotalPass).
• Pharmacy discounts.
• Life insurance coverage.
• Private pension plan.
• Childcare assistance.
• Home office support allowance.
• Certification programs and professional development support.
• Language learning programs.
• Educational partnerships.
• Birthday day off.
• Extended parental leave.