AI Engineer

We are looking for an exceptional AI Engineer based in Colombia with deep expertise in Generative AI to join our growing Data & AI practice. If you're passionate about pushing the boundaries of what’s possible with LLMs, RAG, Agents and semantic search, and thrive in a collaborative, fast-paced environment, we want to meet you.  

 

What You’ll Do:  

• Design and deploy next-generation AI solutions leveraging Retrieval-Augmented Generation (RAG), embeddings, vector databases, and agentic architectures for real-world automation.
• Build intelligent, agent-based systems for document processing, knowledge retrieval, content generation, and transforming unstructured data (e.g., PDFs, emails, spreadsheets) into actionable insights.
• Implement MCP (Model Context Protocol) and multi-agent frameworks to orchestrate complex reasoning, tool usage, and dynamic workflows across LLMs.
• Evaluate, adapt, and fine-tune foundation models (LLMs) for specialized domains, ensuring scalability, reliability, and measurable business impact.
• Work with multi-modal data (text, images, structured/unstructured formats) to deliver rich, context-aware GenAI experiences.
• Monitor and enhance model performance focusing on accuracy, latency, and robustness, including LLM evaluation frameworks for continuous improvement.
• Collaborate cross-functionally with engineers, product managers, and business stakeholders to define approaches and deliver production-ready AI systems.
• Stay ahead of GenAI and Agentic ecosystem advancements, rapidly prototyping new methodologies and integrating state-of-the-art tools and protocols into real-world applications.  

 

What You Bring:  

• Advanced degree (Master’s or Ph.D.) in Computer Science, Data Science, Artificial Intelligence, or a related technical field.
• 5+ years of experience in data science, machine learning, or applied AI, including deploying solutions at production scale.
• Deep expertise in LLMs and GenAI, including RAG architectures, embeddings, vector search, and agentic orchestration frameworks (e.g., MCP, multi-agent systems).
• Strong programming skills in Python, with hands-on experience using ML/AI frameworks such as Hugging Face, LangChain, LangGraph, PyTorch, or similar toolkits
• Share