🚀 Senior Full Stack Engineer | Applied AI
🌎 Remote | Latin America
💼 Full-Time | Contractor Agreement
💰 US$3,600/month
🗣️ Language Requirements: Professional proficiency in Spanish and English
🤖 Build AI features that reach real users
We’re looking for a Senior Full Stack Engineer with hands-on experience implementing AI/LLM solutions in production.
This is not an AI research role or a prompt-engineering position. You'll work directly on a mature SaaS product, turning AI capabilities into reliable, secure, production-ready features while also owning full-stack development.
🔥 What You'll Do
- Build and ship LLM-powered features used by real customers.
- Work with LLM APIs, structured outputs, tool/function calling, RAG, embeddings, and retrieval.
- Develop end-to-end features across Node.js, TypeScript/JavaScript, PostgreSQL, and Angular.
- Design and optimize PostgreSQL schemas, queries, indexes, and migrations.
- Build APIs, integrations, background jobs, and production workflows.
- Ensure AI features are secure, reliable, measurable, and cost-effective.
- Troubleshoot and improve production applications using logs, metrics, and database analysis.
- Work independently from backlog → development → testing → production.
- Leverage AI coding tools such as Claude Code, Cursor, or GitHub Copilot while maintaining strong engineering standards.
🛠️ What You Bring
Must Have:
- 5+ years of senior-level software engineering experience.
- Proven experience implementing and deploying AI/LLM features to production.
- Strong Node.js + JavaScript/TypeScript.
- Strong PostgreSQL & SQL skills, including query optimization and data modeling.
- Experience building and operating production web applications.
- Experience with a modern frontend framework — Angular preferred; React/Vue considered.
- Strong understanding of REST APIs, authentication/authorization, integrations, and backend services.
- Ability to navigate and contribute to a mature, complex codebase.
- Advanced English communication skills.
⭐ Nice to Have
- RAG, embeddings, pgvector, vector databases
- AI evaluation & observability
- Agentic AI / MCP
- Sequelize
- AWS or Google Cloud
- Multi-tenant SaaS
- Accounting, billing, ERP, or business-management platforms
💡 Why This Role?
You'll combine AI + Full Stack Engineering + Data to build capabilities that go beyond prototypes and actually reach customers.
If you've already implemented AI in a production application and you're a strong full-stack engineer who enjoys solving complex problems, we'd love to hear from you.
📩 Apply now or send me your profile to learn more.
