AI/RAG Engineer

Job not on LinkedIn

🕒 April 2

💃 Latin America – Remote

💵 $3.5k - $4.5k / month

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 45%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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GoFasti

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

GoFasti is a company specializing in connecting businesses with top-tier talent from Latin America for remote work. They offer a comprehensive service that includes sourcing, vetting, and managing hiring processes for roles such as developers, designers, engineers, medical billers, and social media managers. GoFasti emphasizes forming dedicated remote teams to help companies reduce labor costs and eliminate hiring hassles, while ensuring compliance with Latin American tax and labor laws. They promise quick candidate matching, with a focus on seamless integration into client workflows.

📋 Description

• Architect and implement scalable AI integration patterns, including RAG pipelines, agentic workflows, MCP tools, structured extraction, summarization, and compliance intelligence • Design and deliver production-grade AI-powered features embedded in procurement workflows and internal tooling • Define and implement evaluation frameworks, observability, and guardrails for model quality, cost governance, security, and compliance • Partner with architecture leadership to evolve the legacy monolithic platform toward modular, service-oriented capabilities • Establish engineering standards for AI systems, including testing strategies, prompt/version management, model lifecycle practices, and performance monitoring • Collaborate with Product, UX, and domain subject matter experts to ensure AI solutions address real user problems • Contribute to architectural reviews and technical design sessions supporting platform modernization • Use PlanetBids-issued AI tools and platforms to seek efficiencies • Produce clear technical documentation for maintainability and knowledge sharing

🎯 Requirements

• English fluency • Based in Latin America • 3–5 years of software engineering experience, with 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, with experience building APIs and scalable services • Experience with cloud platforms such as AWS, GCP, or Azure • Familiarity with vector databases or retrieval systems, such as Pinecone or FAISS • Solid understanding of modular or service-oriented architectures • Experience with monitoring, logging, and system performance in production environments • Ability to collaborate with cross-functional teams and translate business needs into technical solutions • Exceptional communication and relationship-building skills • Adaptability, attention to detail, proactivity, and commitment to continuous learning

🏖️ Benefits

• Remote work • Independent contractor engagement through a payroll platform