Senior Software Engineer

Job description: Senior AI Engineer

Role title

Senior Software Engineer

Place in the organization

AI Learning Capabilities, ELL Technology

Reports to

Software Engineering Manager

Office
Poland or Spain

Role aim

Are you passionate about software development, AI, and shaping the future of education? Are you excited about developing software and intelligent systems that improve how people learn? Do you want to design and build software and AI technologies that redefine education? We are thrilled to announce a great opportunity to join our international AI organization inside the English Language Learning division as a Senior Software Engineer to work on one of the most strategic [DJ1] products in the company. In Pearson English Language Learning we aspire to become the world's leading destination to learn, assess and improve English language skills. Our main focus is to deliver our promise to committed learners from around the world, who want to reach their full potential through learning English.

Role profile

This position requires an experienced and highly competent software engineer with proven expertise integrating AI and LLM‑based capabilities into real-world products. 

We are looking for a highly autonomous professional who can drive work independently, navigate ambiguity, and take ownership of delivering high‑quality solutions.

 

Work distribution is strongly weighted toward new feature development, with minimal maintenance needs given the product’s early lifecycle. Documentation and collaboration remain essential parts of the role.

Responsibilities

• Partner with product owners to design, implement, and maintain backend components for digital products.
• Collaborate in cross-functional teams to define objectives, requirements, and timelines.
• Lead projects and advocate for backend best practices, supporting strategic and innovation initiatives.
• Architect scalable backend services and APIs, including AI integration and deployment of microservices. 

• Operationalize AI models with data science teams and ensure system reliability and scalability. 

• Maintain technical documentation and mentor junior engineers.
• Champion continuous improvement, innovation, and knowledge sharing within the team.
• Lead and influence the software development lifecycle, adhering to best practices like DevOps, Clean Code, and DDD.
• Ensure security and compliance, working closely with relevant teams.
• Stay updated on industry trends and recommend processes or technical improvements.

Most desirable qualifications:

• Bachelor's or master's degree in computer science, Software Engineering, or a related field.

• Proven experience in software engineering principles, development processes, technologies, extreme development methodologies and practices and industry trends for Development and QA.

• Hands-on experience with programming languages such as Python

• Proficiency in at least one of the modern cloud environments (AWS, GCP, Azure)

• Proficiency in best practices for software engineering (code review, multi-stage testing, CI/CD) 

• E[DJ2] xperience with scalable development (Docker, Kuber