Clara

Forward-deployed Engineer – LatAm

Clara

full-time

Posted on:

Location Type: Remote

Location: Brazil

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About the role

  • Rapidly build and ship AI features that solve real customer and internal problems
  • Own projects end-to-end: from scoping and architecture to implementation and production deployment
  • 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 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)

Requirements

  • Strong proficiency in Python; working knowledge of Node.js or Java
  • 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 AI/ML 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.jsJavaLLMs integrationPostgreSQLvector databasesAWSAPI developmentDockerCI/CD
Soft Skills
project ownershipproblem-solvingiteration based on feedbackcommunicationcollaboration