AI Engineer

About The Role We're looking for an experienced AI Engineer to join our innovative team and drive the development of cutting-edge applications leveraging Large Language Models (LLMs). The ideal candidate will have a strong background in Python development, machine learning, and a proven track record of deploying robust, scalable AI solutions. Key Responsibilities * Design, develop, and deploy production-ready systems that integrate and utilize state-of-the-art LLMs (e.g., GPT, Llama, specialized models). * Implement and optimize data pipelines for model training, fine-tuning, and inference, ensuring high performance and data quality. * Develop robust, scalable, and maintainable Python codebases, APIs, and microservices to support LLM-powered applications. * Collaborate with product managers and cross-functional teams to translate business requirements into technical specifications and viable AI solutions. * Conduct experimentation, evaluation, and iteration on model/algorithm performance, efficiency, and cost-effectiveness. * Stay current with the latest advancements in LLMs, AI/ML methodologies, and relevant tooling (e.g., LangChain, Hugging Face, vector databases). * Ensure responsible AI practices, including model fairness, transparency, and security, are integrated into all development phases. Required Qualifications * 3+ years of professional experience in machine learning, AI engineering, or a related field. * Experience fine-tuning LLMs for domain adaptation. * Hands-on experience building algorithms leveraging Large Language Models. * Know-how of experimentations for model/algorithm improvements. * Expertise in Python and its relevant data science/ML libraries. * Strong understanding of natural language processing (NLP) fundamentals and machine learning algorithms. * Experience with MLOps principles and tools for managing the end-to-end machine learning lifecycle. * Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related quantitative field. Preferred Qualifications * Familiarity with frameworks like LangChain or LlamaIndex for building LLM applications and retrieval-augmented generation (RAG) systems. * Experience with vector databases (e.g., Pinecone, Milvus, Chroma) and embedding models. * Contributions to open-source projects or a strong portfolio demonstrating relevant AI/LLM work. Benefits * A dynamic work environment with an international team, where collaboration and diversity thrive. * Work alongside top talent, united by a shared purpose and committed to making a real impact. * Comprehensive private health coverage to ensure your physical and mental well-being. * Hybrid work model offering flexibility to balance your professional and personal life. * Company events to celebrate achievements and enjoy time together. * Get equipped with a MacBook to enhance your productivity and work experience. * Our office is pet-friendly By submitting this application, I agree