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Large Language Model Engineer at Foundever. Location Information: Remote, Any Location, ES. . About Us. . Foundever® is a global leader in the customer experience (CX) industry. With 150,000 associates across the globe, we’re the team behind the best experiences for +800 of the world’s leading and digital-first brands. Our innovative CX solutions, technology and expertise are designed to support operational needs for our clients and deliver a seamless experience to customers in the moments that matter. . . Supporting +9 million customer conversations every day in +60 languages across 45 countries, Foundever combines global strength and scale with the agile, entrepreneurial approach of our founder-led culture, enabling companies of all sizes and industries to transform their CX.. . . . • Winner of Comparably’s Award for Best Global Culture in 2024, 2023, 2022 and 2021 . • Gold Stevie Award Winner for Great Employers in 2024 and 2022. • We foster an exciting culture of creativity, connection, and commitment. . Read more about our culture: . Stories. Job Summary. . As an experienced LLM Engineer, you will play a critical role in designing, implementing, and optimizing AI-driven solutions that leverage large language models to meet business goals. Your work will directly contribute to the development of innovative applications, enhance scalability, and empower the team’s AI initiatives. A deep understanding of NLP, machine learning frameworks, and AI ethics will position you as a key contributor to Foundever's AI-first strategy. Primary Job Responsibilities. . AI Model Development. Design, fine-tune, and deploy large language models (LLMs) such as OpenAI’s GPT, BERT, or custom architectures to deliver advanced natural language processing solutions.. . API Integration. Build and optimize APIs for seamless integration of AI-driven functionalities into Qelp’s core products, ensuring compatibility and performance.. . Collaborative Research. Partner with cross-functional teams including UX/UI Designers, Front-End Developers, and Product Managers to align AI capabilities with business needs.. . Scalability Optimization. Enhance the scalability of AI solutions by creating modular architectures, and efficient model deployment practices.. . Data Handling and Preprocessing. Develop . pipelines. for processing large datasets, ensuring data quality and relevance for training and fine-tuning LLMs.. . AI Governance. Ensure ethical and transparent use of AI by implementing robust bias detection, explainability, and compliance frameworks.. . Continuous Innovation. Stay updated on the latest advancements in AI/ML, particularly in NLP and LLMs, to incorporate cutting-edge features into Qelp’s products.. . Performance Monitoring. Implement tools to track the performance and reliability of AI models in production, iterating for continuous improvement.. Required Skills and Experience. . . Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. . Minimum of 5 years of experience in machine learning and AI development, with at least 2 years focused on LLMs or NLP. . Proficiency in Python and frameworks such as TensorFlow, . PyTorch. , or Hugging Face Transformers. . Demonstrated experience in deploying and optimizing LLMs in production environments. . Familiarity with cloud platforms (AWS, Azure, or Google Cloud) for AI deployments. . Advanced proficiency in NLP techniques and AI model development. . Deep knowledge of transformer-based architectures such as GPT, BERT, or T5. . Strong skills in API development and microservice-based architecture. . Familiarity with DevOps tools for AI model deployment (e.g., Docker, Kubernetes). . Understanding of AI regulations and best practices for ethical AI deployment. . Strong understanding of data preprocessing techniques and dataset management. . Our Offer. . . Competitive compensation package. . Excellent learning and development opportunities (AI, technology, evolving BPO landscape). . Growth opportunities within an expanding team . . Fully remote working available. . Working alongside a team of high-caliber and dynamic leaders . . Excellent work-life balance culture . . . . . #LI-MB2. .