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AI/RAG Engineer

gofasti·April 20, 2026·0 views
🌍 Remote · Latin America (Remote)Full-time

💰 $80,000 – $130,000/yr

Job Description

About GoFasti

GoFasti is a Talent-as-a-Service platform that bridges the gap between world-class developers and designers from Latin America and first-class companies around the globe. We make remote work remarkable by connecting exceptional talent with innovative organizations seeking to build scalable, AI-powered solutions.

About This Role

We are seeking an English-fluent AI/RAG Engineer based in Latin America to join our team on a remote basis. This is a pivotal role for engineers passionate about artificial intelligence, retrieval-augmented generation (RAG), and building production-grade AI systems that solve real-world business problems.

You will work with someone who demonstrates exceptional communication and relationship-building skills, embraces change while maintaining strong attention to detail, and is constantly learning and improving. This role requires a proactive professional committed to technical excellence and collaborative problem-solving.

Key Responsibilities

  • Architect and implement scalable AI integration patterns including RAG pipelines, agentic workflows, MCP tools, structured extraction, summarization, and compliance intelligence that can be reused across the platform
  • Design and deliver production-grade AI-powered features embedded within mission-critical procurement workflows, including internal tooling
  • Define and implement evaluation frameworks for observability and guardrails to ensure model quality, cost governance, security, and compliance
  • Partner with architecture leadership to evolve legacy monolithic platforms toward more modular, service-oriented capabilities
  • Establish engineering standards for AI systems, including testing strategies, prompt and version management, model lifecycle practices, and performance monitoring
  • Collaborate cross-functionally with Product, UX, and domain subject matter experts (internal and external) to ensure AI solutions address real user problems
  • Contribute to architectural reviews and technical design sessions to ensure alignment with long-term platform modernization goals
  • Leverage AI tools and platforms to seek efficiencies in your engineering workflow and processes
  • Produce clear technical documentation to support maintainability and knowledge sharing across teams

Required Qualifications

  • 3–5 years of software engineering experience with demonstrated exposure to AI/LLM-based solutions
  • Hands-on experience with LLM integrations such as RAG, prompt engineering, summarization, or structured data extraction
  • Proficiency in Python, Node.js, or similar languages with proven experience building APIs and scalable services
  • Cloud platform experience with AWS, GCP, or Azure
  • Familiarity with vector databases or retrieval systems including Pinecone, FAISS, or similar technologies
  • Solid understanding of modular or service-oriented architectures and microservices design patterns
  • Production experience with monitoring, logging, and system performance optimization in live environments
  • Strong cross-functional collaboration skills with ability to translate business requirements into technical solutions
  • Fluent English communication for effective remote collaboration with global teams

Why Join GoFasti?

This is an opportunity to work on cutting-edge AI technology within a mission-critical procurement platform. You'll have the autonomy to architect scalable solutions, establish best practices for AI engineering, and directly impact how AI transforms business processes. As part of a remote-first organization, you'll enjoy flexibility while collaborating with talented professionals across the globe.

The role offers exposure to modern AI stack components, including vector databases, LLM frameworks, and enterprise-grade monitoring solutions, ensuring your skills remain at the forefront of AI engineering innovation.

💰 Compensation not publicly listed. Market estimate for similar roles: from $80K, varying by experience and location.