AI Engineer - RAG and Agents- Content Developer

Jalasoft; Colombia; A distancia; COP 89.280.000 - 133.920.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work (home office)

International reach

Descripción de la vacante

Jala University is seeking a content developer for its Master in AI Systems Engineering to bridge academia and industry by delivering practical education. The role demands hands-on work with production AI/ML, RAG systems, and observable AI agents.

Qualifications include 5+ years in production software, 2+ years in AI/ML, Python, LangGraph, ChromaDB, Neo4j, Docker, and strong English writing skills for technical documentation. Remote work option welcomed.

Formación

• 5+ years in production software
• 2+ years in production AI/ML
• Hands-on experience building RAG systems over real data
• Experience building retrieval eval frameworks that measure hallucination risk
• Track record shipping AI agents with observability and human-in-the-loop controls
• Proficient with Python, LangGraph, ChromaDB, Neo4j, RAGAS, DeepEval, Docker
• Strong technical writing and documentation skills
• Professional written English

Conocimientos

Production software

AI/ML production

RAG systems

Evaluation frameworks

Observability

Human-in-the-loop

Python

LangGraph

ChromaDB

Neo4j

Docker

Technical writing

English proficiency

Herramientas

LangGraph

ChromaDB

Neo4j

RAGAS

DeepEval

Docker

Descripción del empleo

Jala University is an innovative initiative designed to bridge the gap between academia and industry by delivering practical education tailored to industry needs, with a unique educational model integrating experts from both academia and industry. Our goal is to transform the economies of underserved regions through the software industry, creating professional opportunities that impact individuals, communities, and regions, while leaving a lasting legacy for future generations. We're looking for a content developer for its Master in AI Systems Engineering .

Requirements

• 5+ years in production software, 2+ in production AI/ML.
• Hands‑on experience building RAG systems (dense, sparse, hybrid retrieval) over real data.
• Experience building retrieval eval frameworks that measure hallucination risk.
• Track record shipping AI agents with observability and human-in-the-loop controls.
• Proficient with Python, LangGraph, ChromaDB, Neo4j, RAGAS, DeepEval, Docker.
• Strong technical writing and documentation skills.
• Professional written English.

Benefits

• Remote work modality (home office) .
• Joining a dynamic and growing organization with international reach.