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
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 (EMEA, LATAM or APAC Market)
- Working alongside a team of high-caliber and dynamic leaders
- Excellent work-life balance culture
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