Clara

Fullstack Engineer

Clara

full-time

Posted on:

Location Type: Remote

Location: Anywhere in Latin America

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Tech Stack

AWSCloudDockerJavaJavaScriptNext.jsNode.jsPostgresPythonReact

About the role

  • 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.
  • 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.
  • 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
  • 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
  • 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
  • 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

  • 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
  • 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
Benefits
  • Competitive salary and stock options (ESOP) from day one
  • Multicultural team with daily exposure to Portuguese, Spanish, and English (our corporate language)
  • Annual learning budget and internal accelerated development paths
  • High-ownership environment: we move fast, learn fast, and raise the bar — together
  • Smart, ambitious teammates — low ego, high impact
  • Flexible vacation and hybrid work model focused on results
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonNode.jsJavaReactNext.jsLLMs integrationPostgreSQLvector databasesAWSRESTful services
Soft Skills
pragmatismproblem-solvingcommunicationcollaborationinnovationadaptabilitydecision-makingknowledge sharingspeedsustainability