Large Language Model Engineer

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 

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