Full-Stack AI Engineer (LLMs)

TL;DR

Full-Stack AI Engineer (LLMs): Building and deploying production-ready AI applications that integrate Large Language Models, vector databases, and cloud infrastructure with an accent on end-to-end system development. Focus on creating scalable AI-powered features, optimizing RAG pipelines, and ensuring high-performance production reliability.

Location: Must be based in South Africa or Kenya

Company

hirify.global is a talent and recruitment partner connecting skilled professionals with global clients.

What you will do

• Design and deploy production-ready AI applications using modern software engineering practices.
• Integrate LLMs and machine learning models into scalable backend services.
• Build and optimize RAG pipelines and semantic search functionality using vector databases.
• Develop responsive user interfaces and high-performance APIs for AI-powered features.
• Implement CI/CD pipelines and monitor infrastructure for latency, reliability, and cost efficiency.
• Ensure system security and compliance with standards like GDPR, HIPAA, and SOC 2.

Requirements

• Must be based in South Africa or Kenya
• 3+ years of software engineering experience with exposure to AI/ML systems.
• Strong proficiency in Python and JavaScript/TypeScript.
• Hands-on experience with OpenAI APIs, Hugging Face, PyTorch, or TensorFlow.
• Experience building scalable REST APIs and working with cloud databases.
• Front-end development experience with React, Next.js, or Vue.js.

Nice to have

• Experience building AI-powered SaaS platforms.
• Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI.
• Knowledge of serverless architectures and microservices.
• Experience optimizing inference latency and cloud infrastructure costs.

Culture & Benefits

• Fully remote role with long-term career growth opportunities.
• Opportunity to work with cutting-edge LLMs, RAG pipelines, and AI infrastructure.
• Collaborative engineering culture with significant technical ownership.
• Clear career progression paths into senior, architect, or management roles.

Hiring process

• Application review followed by a Spark Hire intro video.
• Recruiter interview and technical assessment.
• Final client interview and background verification.