AI/ML Engineer – RAG, API Pipelines

🕒 June 11

🌐 Colombia, Peru, +3 more countries – Remote

🇨🇴 Colombia – Remote 🇵🇪 Peru – Remote 🇧🇷 Brazil – Remote 🇩🇴 Dominican Republic – Remote 🇦🇷 Argentina – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 Machine Learning Engineer

👻 Ghost score 34%

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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Jalasoft

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2003

☁️ SaaS

📚 Education

Software Development • SaaS • Education

Jalasoft is a global nearshore software development company with a strong presence across 70 cities in 13 countries. With a team of over 1000 South American-based software engineers, Jalasoft specializes in software development, quality assurance (QA), and DevOps solutions. The company focuses on staff augmentation and dedicated teams tailored to meet client needs, ensuring quality and efficiency in project delivery. Jalasoft places a strong emphasis on security, holding an ISO 27001 certification, and partners with leading technology firms like Palo Alto, NVIDIA, and Cisco to offer reliable network and data center management. In addition, Jalasoft operates Jala University, offering educational programs in technology to foster and recruit top tech talent. The company aims to drive digital transformation by providing agile, culturally aligned nearshore software solutions.

📋 Description

• Act as the bridge between data infrastructure and customer-facing AI products. • Specialize in building low-latency API layers, production-grade RAG systems, complex ingestion pipelines, and Human-in-the-Loop workflows. • Work alongside Data Engineers to turn raw data lakes into live AI features.

🎯 Requirements

• Overall Experience: 7+ years in Backend Software Engineering and AI Application Engineering, including exposure to Distributed Systems • AI & RAG Integration: 2+ years engineering production-grade RAG pipelines, managing vector retrieval context, and implementing secure validation layers for LLMs • Prototyping & Collaboration: proven track record working synchronously with Data Engineers to rapidly turn raw data lakes and streams into production-ready AI feature prototypes • Proficiency in Advanced API Design & GraphQL Architecture • Proficiency in RAG, Data Flows & Ingestion Pipelines • Proficiency in State Management & Human-in-the-Loop (HITL) Automation • Production fluency in Python • Working knowledge of C# (.NET Core), Java, or Node.js/TypeScript for enterprise ingestion systems

🏖️ Benefits

• Remote work. • 13 floating holiday. • 15 vacation days per year completed. • Good working environment.