Job Overview
Location
South Africa
Job Type
Full-time
Category
Full-Stack Engineer
Date Posted
April 10, 2026
Full Job Description
đź“‹ Description
- • The Full-Stack AI Engineer role at Pavago involves designing, building, and deploying AI-powered applications by integrating machine learning models into scalable, production-ready systems. This position bridges software engineering and applied ML to deliver business-driven AI solutions that are reliable, user-friendly, and compliant with data privacy standards.
- • Day-to-day responsibilities include deploying pre-trained and fine-tuned ML/LLM models via APIs (FastAPI, Flask, Node.js), implementing vector search for RAG, building ETL pipelines for data ingestion and transformation, developing front-end UIs with React/Next.js/Vue, designing back-end services, containerizing services with Docker, deploying to Kubernetes, automating CI/CD pipelines, monitoring model performance and latency, ensuring GDPR/HIPAA/SOC 2 compliance, and collaborating with data science and product teams to productionize AI features.
- • Pavago partners with clients to deliver remote technical talent, and this role supports a U.S.-based client requiring alignment with U.S. business hours. The company focuses on connecting skilled engineers with global opportunities, emphasizing flexibility in work hours to accommodate model experimentation and deployment cycles.
- • In this role, you will gain hands-on experience scaling AI prototypes to production, deepen expertise in MLOps and full-stack development, work with cutting-edge LLMs and vector databases, contribute to measurable business outcomes through AI adoption, and grow as a versatile engineer capable of owning end-to-end AI system delivery.
🎯 Requirements
- • 3+ years in software engineering with exposure to AI/ML
- • Proficiency in Python (PyTorch, TensorFlow) and JavaScript/TypeScript (React, Node.js)
- • Experience deploying ML models into production systems
- • Strong SQL and experience with cloud data warehouses (Snowflake, BigQuery, Redshift)
🏖️ Benefits
- • Fully remote position with flexibility to work during U.S. client business hours
- • Opportunity to work on cutting-edge AI/LLM projects including RAG, fine-tuning, and vector search
- • Exposure to modern MLOps tools and practices (Kubeflow, MLflow, Vertex AI, SageMaker)
- • Collaboration with cross-functional teams including product and data science
- • Focus on measurable impact through KPIs like system uptime, latency reduction, and user adoption
Skills & Technologies
About Pavago
Pavago is a technology company focused on developing innovative solutions for the logistics and supply chain industry. Their platform aims to streamline operations, enhance visibility, and improve efficiency for businesses involved in transportation and warehousing. By leveraging advanced data analytics and automation, Pavago helps clients optimize their routes, manage inventory effectively, and reduce operational costs. The company serves a diverse range of clients, from small to large enterprises, seeking to modernize their supply chain management and gain a competitive edge in the global market. Their core business revolves around providing a comprehensive software-as-a-service (SaaS) solution tailored to the specific needs of the logistics sector.
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