LLM Engineer at BairesDev As an LLM Engineer, you will design and build advanced applications powered by large language models, focusing on fine-tuning and retrieval-augmented generation (RAG). You will translate complex business requirements into high-performance AI solutions, ensuring that generative outputs are accurate, scalable, and production-ready. What You’ll Do Design and implement robust RAG architectures to ground LLM responses in external knowledge bases. Develop and manage the full lifecycle of LLM fine-tuning pipelines to align model outputs with specific domain needs. Optimize system performance through advanced prompt engineering, evaluation frameworks, and context management. Build and deploy production-grade AI agents using modern orchestration frameworks such as LangChain. Collaborate with cross-functional teams to integrate generative AI features seamlessly into existing product ecosystems. Ensure model reliability and cost-efficiency by implementing monitoring, validation layers, and inference optimization. What We Are Looking For 4+ years of experience in Software Engineering, AI/ML, or Data Science. Proven expertise in building and deploying applications powered by Large Language Models (LLMs). Hands‑on experience with fine‑tuning, RAG architectures, and prompt engineering. Proficiency with LLM frameworks such as LangChain or similar tools. Strong background in designing evaluation frameworks for model performance and accuracy. Advanced proficiency in English. Benefits 100% remote work (from anywhere). Excellent compensation in USD or local currency if preferred. Hardware and software setup to work from home. Flexible hours: create your own schedule. Paid parental leaves, vacations, and national holidays. Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent. Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities. #J-18808-Ljbffr