AI Engineer (Ingeniero de AI) - Colombia (Remote)

Ready to accelerate your career? Clara is the fastest-growing company in Latin America. We've built the leading solution for companies to make and manage all their payments. We already help over 20,000 large and growing businesses operate with agility and financial clarity through locally issued corporate cards, bill pay, financing, and a powerful B2B platform built for scale. Clara is backed by some of the most successful investors in the world, including top regional VCs like monashees, Kaszek, and Canary, and leading global funds like Notable Capital, Coatue, DST Global Partners, ICONIQ Growth, General Catalyst, Citi Ventures, SV Angel, Citius, Endeavor Catalyst, and Goldman Sachs - in addition to dozens of angel investors and local family offices. We’re building the financial infrastructure that powers high-performing organizations across the region. We invite you to join us if you want to be part of a fast-paced environment that will accelerate your career and support you to do some of the best work of your life alongside a passionate and committed team distributed across the Americas. CLARA's Innovation Team is looking for a pragmatic, fast-moving AI Engineer who thrives on shipping AI-powered features quickly. This team operates in ultra-fast mode, identifying opportunities, building prototypes, and delivering production-ready AI solutions that create immediate business value. You'll work at the intersection of product, engineering, and AI—turning ideas into deployed features in weeks, not months. Responsibilities Your main focus will be to rapidly build and ship AI features that solve real customer and internal problems. You'll own projects end-to-end: from scoping and architecture to implementation and production deployment. Speed and pragmatism are core to this role—you'll make smart tradeoffs to deliver quick wins while maintaining production quality standards. Core Responsibilities: Rapid AI Product Development Design, build, and deploy AI-powered features and applications from 0 to 1 in production Integrate LLMs and AI models into existing products and workflows, handling the full stack from API integration to user-facing features Build intelligent automation tools that improve internal operations, customer experience, or business processes Create MVPs and prototypes quickly to validate ideas, then iterate based on real usage and feedback Own the entire lifecycle: scoping, technical design, implementation, deployment, and monitoring Production Engineering Infrastructure Build robust APIs and backend services that power AI features with proper authentication, rate limiting, and error handling Design and implement data pipelines that support AI applications: document processing, embedding generation, vector search Deploy and maintain containerized applications on AWS infrastructure (ECS, Lambda, S3, RDS) Implement monitoring, logging, and observability for AI features in production Ensure AI applications meet security, privacy, and compliance requirements for financial services Cross-Functional Collaboration Innovation Work closely with product teams, data scientists, and business stakeholders to identify high-impact AI opportunities Translate business problems into technical solutions, making pragmatic decisions about build vs. buy vs. API Share knowledge and evangelize successful patterns across engineering teams Balance speed with sustainability—ship fast without creating technical debt that blocks future iteration Contribute to the broader engineering organization by bringing innovation team learnings back to core teams Continuous Learning Experimentation Stay current with rapidly evolving AI tools, frameworks, and best practices Experiment with new AI capabilities and evaluate their potential for Clara's use cases Share findings, demos, and insights with the broader team to inspire innovation Requirements Technical Skills: Strong proficiency in Python ; working knowledge of ... (truncated, view full listing at source)