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, Kubernetes)
Strong problem-solving and analytical skills, with a keen attention to detail.
Some experience with data processing (building pipelines, data versioning)
Working experience in Agile practices, product and project management principles.
Commitment to fostering an inclusive and diverse work environment.
Excellent communication skills, with the ability to effectively collaborate and build relationships with stakeholders at all levels. Able to communicate technical concepts to non-technical individuals.
Experience with working in a diverse, remote, asynchronous team
Proficiency in written and spoken English
#LI-MG1
Skills Required
- Proven experience integrating AI and LLM-based capabilities into products
- Hands-on experience with Python
- Proficiency with at least one cloud environment (AWS, GCP, Azure)
- Experience with containerization and orchestration (Docker, Kubernetes)
- Familiarity with CI/CD, code review, and multi-stage testing practices
- Experience architecting scalable backend services, microservices, and APIs
- Experience operationalizing AI models in production with data science teams
- Experience with data processing, building pipelines, and data versioning
- Working experience in Agile practices and product/project management principles
- Strong problem-solving, communication skills, and ability to mentor junior engineers
- Bachelor's or Master's degree in Computer Science, Software Engineering, or related field
- Proficiency in written and spoken English; experience in diverse, remote, asynchronous teams
What We Do
We are the world’s learning company with more than 22,500 employees operating in 70 countries. We provide content, assessment and digital services to learners, educational institutions, employers, governments and other partners globally. We are committed to helping equip learners with the skills they need to enhance their employability prospects and to succeed in the changing world of work. We believe that wherever learning flourishes so do people.
