Our client is looking for an AI LLM Engineer to help build and improve AI-powered products. In this role, you will develop and integrate large language model (LLM) solutions, turning product and user needs into reliable, high-quality features. You will work with engineering and product colleagues in a remote, international environment, contributing across the LLM development lifecycle—from experimentation and evaluation to deployment and ongoing improvement. Your Role
• Design, develop and integrate LLM-powered features and services
• Build and maintain reliable backend components and APIs for AI applications
• Develop and refine prompts, workflows and model configurations to improve response quality
• Explore techniques such as retrieval-augmented generation (RAG), embeddings and tool use where appropriate
• Evaluate model outputs for quality, accuracy, consistency and relevance using appropriate tests and metrics
• Monitor AI features in production and investigate performance or reliability issues
• Collaborate with product, engineering and other stakeholders to define requirements and deliver solutions
• Contribute to decisions about model selection, integration approaches and system architecture
• Apply responsible AI practices, considering privacy, security, safety and potential model limitations
• Document technical decisions, workflows and evaluation results
• Keep up to date with developments in LLMs and related AI technologies, identifying opportunities to improve products Your Qualifications




• Professional experience in software engineering, machine learning or a related technical role
• Experience building applications or services that use large language models
• Strong programming skills in Python or another relevant language
• Understanding of LLM APIs, prompt design and the strengths and limitations of generative AI models
• Experience with backend development, APIs and integrating external services
• Familiarity with evaluation methods for AI systems, including testing model outputs and tracking quality
• Understanding of data handling, privacy and security considerations when working with AI systems
• Experience with RAG, vector databases, embeddings or AI orchestration frameworks is an advantage
• Familiarity with cloud platforms, containers, CI/CD or production monitoring is an advantage
• Strong analytical and problem-solving skills, with attention to reliability and maintainability
• Clear communication skills and the ability to collaborate effectively in a remote team
• Comfortable working independently, managing priorities and adapting to a fast-changing technical landscape
• Ability to work remotely within the EMEA region The Offer
• Remote opportunity for candidates based in the EMEA region
• Opportunity to build and improve products powered by large language models
• Collaborative work with colleagues across product and engineering
• Scope to contribute to technical decisions and the development of AI solutions

📌 AI LLM Engineer (Argentina)
🏢 Workster Jobs
📍 Argentina