Job Application for Fullstack Engineer

Job Application for Fullstack Engineer (Ingeniero Fullstack) - Remote at Clara

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.

What you'll do

We're looking for a Fullstack Engineer to join Clara’s Innovation Team. This is a pragmatic, fast-moving role for someone who thrives on shipping features quickly. You will operate in 'ultra-fast' mode—identifying opportunities, building prototypes, and delivering production-ready AI solutions that create immediate business value.

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:

• Fullstack 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

Backend Engineering & Infrastructure

• Build robust REST APIs and backend services with proper authentication, rate limiting, and error handling
• Design and implement data pipelines and processing workflows that support product features—including document handling, search, and integrations.
• Deploy and maintain containerized applications on AWS infrastructure (ECS, Lambda, S3, RDS)
• Implement monitoring, logging, and observability for services in production.
• Ensure 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 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 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 Node.js or Java
• Frontend experience: React and/or Next.js for building production UIs
• Hands-on experience integrating LLMs into production applications (not just prompt engineering)—you've built real features with OpenAI, Anthropic, or similar APIs
• Database expertise: PostgreSQL, vector databases (Pinecone, Weaviate, Chroma, pgvector), or data modeling
• Cloud infrastructure: AWS services (ECS, S3, Lambda, RDS, API Gateway, SQS, etc.)
• API development: RESTful services, authentication, rate limiting, error handling
• Experience:
• Built and deployed at least 2 fullstack features or products to production that real users interact with
• Experience with containerization (Docker) and orchestration (ECS, EKS, or similar)
• Comfortable with git workflows and CI/CD practices (GitHub Actions, GitLab CI, automated deployments)
• Experience working across the full stack: backend APIs, data processing, and basic frontend integration

Mindset:

• Problem-solver first, technology evangelist second—you choose the right tool for the job, not the newest one
• Comfortable with ambiguity and rapid iteration—you thrive when requirements are fuzzy and priorities shift
• Self-directed with ability to scope and execute projects independently—you can take a problem and run with it
• Bias toward action—you ship working solutions and iterate based on feedback rather than pursuing perfection

Nice to Have

• Experience with LangChain, LlamaIndex, or similar LLM frameworks for building RAG applications
• Experience with streaming APIs and real-time AI applications (WebSockets, Server-Sent Events)
• Knowledge of ML model deployment (model serving, inference optimization, A/B testing)
• Experience in fintech or highly regulated industries understanding compliance and security requirements
• Experience with prompt engineering best practices and LLM evaluation frameworks
• Contributions to open-source projects or technical writing/blogging

What Makes You Stand Out

• Execution & Velocity
• You have a track record of shipping fast—your GitHub/portfolio shows com...