AI Engineer

Our Team: Workforce Skills – We provide upskilling and reskilling that ensures people can thrive in a digital, automated future. Faethm is a SaaS platform that uses artificial intelligence to help prepare people for the future of work and was acquired by Pearson in 2021. Workforce Skills is the newest division at Pearson with ambitious and exciting plans for growth.

About the role: Reporting to our Lead Engineer, you will work alongside Faethm’s AI and Backend Engineers to solve interesting technical challenges and implement our product roadmap. To give you a sense of our work, we have designed and implemented systems like:

• large scale on-demand GPU clusters with Machine Learning / NLP pipelines to extract billions of data points from job ads within a few hours
• deep learning and LLM based based learning content recommendation system
• libraries and APIs for bleeding edge transformer-based NLP model pipelines
• high-concurrency, low-latency analytics environment across 7 geographic regions to serve enterprise customers all over the world

As a Backend Engineer in AI Systems, you’ll be responsible for: 

• Build RESTful APIs and micro-services for compute heavy and data intensive Machine Learning models
• Design and build highly scalable AI backends using Python, AWS, MongoDB, and Postgres
• Support the consumption of Faethm’s APIs and data outputs by other teams and organisations
• Drive code quality by facilitating code reviews within the team and ensuring that our engineering practices are followed in relation to testing, security and monitoring
• Work closely with data scientists and product managers to understand the needs of the customer and our business so that you can build the right features

To be successful in this role, you will ideally have:  

• BS, MS, or PhD in Computer Science, Software Engineering, or related fields
• 0-4 years of experience in a software engineering role
• Practical experience in Python, including at least one web application framework like FastAPI, Django, or Flask
• Knowledge of SQL and/or NoSQL database technologies
• Familiarity with micro-services, and containerization
• Understanding of distributed systems and scalability
• Understanding of Artificial Intelligence, Machine Learning, and Big Data Concepts
• Interest in Natural Language Processing, Embeddings, Large Language Models, and Recommendation Systems

Our tech stack: Python, FastAPI, PyTorch, AWS, MongoDB, Postgres, Databricks, Kubernetes, Terraform

Our purpose: At Pearson we ‘add life to a lifetime of learning’ so everyone can realise the life they imagine. We do this by creating vibrant and enriching learning experiences designed for real-life impact.