This position is posted by Jobgether on behalf of Nimble Gravity. We are currently looking for an AI Data Scientist in Latin America.

We are seeking a highly skilled AI Data Scientist to join a dynamic team focused on cutting-edge Generative AI solutions. In this role, you will design, implement, and deploy advanced AI systems leveraging LLMs, embeddings, vector databases, and agentic architectures. You will work with multi-modal data to transform unstructured content into actionable insights, develop semantic search and retrieval pipelines, and fine-tune AI models for specialized domains. Collaborating closely with engineers, data scientists, and business stakeholders, you will create production-ready AI systems that deliver measurable impact. This is a fast-paced, collaborative environment where innovation, creativity, and expertise in GenAI are highly valued.

Accountabilities

• Design and deploy next-generation AI solutions using RAG, embeddings, vector databases, and agent-based architectures
• Build intelligent systems for document summarization, knowledge retrieval, content generation, and transforming unstructured data into actionable insights
• Implement MCP and multi-agent frameworks for orchestrating complex reasoning, tool usage, and dynamic workflows across LLMs
• Fine-tune foundation models for specialized domains, ensuring scalability, reliability, and measurable business outcomes
• Develop and maintain embedding pipelines, semantic search capabilities, and optimization of similarity search in large-scale vector databases
• Collaborate with cross-functional teams to integrate GenAI solutions with analytical workflows and decision-making pipelines
• Monitor, evaluate, and enhance model performance focusing on accuracy, latency, and robustness
• Stay updated on GenAI advancements and rapidly prototype new methodologies, integrating state-of-the-art tools into production
  
  
  

Requirements

• Advanced degree (Master's or Ph.D.) in Computer Science, Data Science, AI, or a related technical field
• 5+ years of experience in data science, applied AI, or machine learning, including deploying solutions at production scale
• Deep expertise in LLMs, Generative AI, RAG architectures, embeddings, vector search, and agentic orchestration frameworks (e.g., MCP, multi-agent systems)
• Strong programming skills in Python and SQL; hands-on experience with ML/AI frameworks such as Hugging Face, LangChain, LangGraph, PyTorch, or similar
• Cloud-native expertise (Azure, AWS, Databricks) for scalable AI experimentation, orchestration, and deployment
• Solid foundation in data science methodologies including statistical modeling, experimentation, and data-driven problem-solving
• Strong analytical, problem-solving, and optimization skills for complex data workflows
• Quick learner with a passion for staying ahead of developments in GenAI and agentic systems
  
  
  

Benefits

• Competitive salary and performance-based incentives
• Fully remote work across Latin America with flexibility to collaborate across time zones
• Opportunity to work with state-of-the-art GenAI technologies and multi-modal data solutions
• Exposure to fast-paced, innovative projects that directly impact business outcomes
• Collaborative and knowledge-sharing culture with experienced AI and data science professionals
• Professional growth and learning opportunities in cutting-edge AI research and applications
  
  

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

📊 It compares your profile to the job's core requirements and past success factors to determine your match score.

🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.

🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.

Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!