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Cambridge University Press & Assessment, a distinguished global academic publisher, is seeking a Senior AI Software Developer in Manila. The role focuses on designing, building and scaling responsible AI and Generative AI solutions that drive business value.
Hybrid work with a two-day office presence and a 10:00–18:00 or 12:00–20:00 schedule in Manila. You will lead end-to-end AI pipelines, ensure secure deployment, and mentor engineers while aligning with engineering best practices across the
Work setup : We operate in a hybrid work environment, and we encourage applicants who are open to working in the office two days a week to apply.
Work schedule : Monday to Friday, 10AM to 6PM or 12PM to 8PM Manila time Employment type
: Permanent Location : Makati City, Metro Manila
Pay range : Php 104,000 to Php 142,000 We value transparency and want to ensure a good fit for both parties.
We encourage applicants who are comfortable with this salary range to apply. Discover a world of endless possibilities with Cambridge University Press & Assessment, a distinguished global academic publisher and assessment organization proudly affiliated with the prestigious University of Cambridge. We are looking for a Senior AI Software Developer to join our Technology – AI Centre of Excellence team.
This role will be an opportunity for you to design, build and scale responsible AI and Generative AI solutions that deliver measurable business value while shaping engineering best practices across the organisation. Why Cambridge? Cambridge University Press & Assessment is a world-renowned not-for-profit academic publisher and assessment organisation, proudly part of the prestigious University of Cambridge.
With a legacy rooted in over 800 years of educational excellence, we are dedicated to unlocking the potential of learners and educators across the globe. Joining Cambridge's second largest global office in the Philippines —operating for over 22 years with 1,300+ colleagues— means becoming a part of an extraordinary institution renowned worldwide. We are recognised as a
Great Place to Work® for three consecutive years, reflecting our inclusive culture, strong sense of purpose, and commitment to the professional growth and well-being of our people.
At Cambridge, we don't just publish books or deliver tests—we empower progress, inspire curiosity, and champion the pursuit of knowledge. What can you get from Cambridge? At Cambridge, you'll become a part of a vibrant and forward-thinking community that transcends tradition, fostering a culture of continuous growth and personal development.
Here, we provide the right environment for you to thrive, supporting your professional journey and empowering you to reach your highest potential, that is why our pay philosophy is intricately tied to your skills and competencies, ensuring that your compensation aligns with the unique value you bring to the role you are applying for. The organization offers a wide range of benefits and opportunities including: Regular Employment on Day 1
Reporting to the Head of AI Development, AI CoE, your accountabilities will include:
Lead the design and delivery of AI-driven solutions using large language models, multimodal models and other Generative AI technologies to solve real-world business challenges. Own the end-to-end technical design of AI pipelines, including data preparation, model selection, deployment, monitoring and continuous improvement. Design and implement advanced AI solution patterns including prompt engineering, retrieval-augmented generation (RAG), embeddings and vector search.
Establish and maintain secure, scalable and reliable AI engineering standards, including API integration, automated testing, CI/CD and operational documentation. Provide technical leadership through architecture reviews, code reviews, mentoring and collaboration with cross-functional stakeholders to integrate AI into products and services Please review the attached job description for further details on the role.
An ideal candidate has the following qualities: Essential:
Demonstrates advanced proficiency in designing, building and deploying AI or machine learning solutions in production environments. Exhibits advanced expertise in Python, AI/ML libraries, SDKs and API integrations. Demonstrates strong capability in implementing Generative AI solutions, including RAG, embeddings, vector search and model evaluation approaches.
Shows proven expertise in designing secure, scalable AI services and integrating them with enterprise applications and data sources. Exhibits strong technical leadership, analytical thinking and stakeholder management skills to translate business needs into effective AI solutions. Desirable:
Shows ability to work with AI platforms and frameworks such as Azure OpenAI, AWS Bedrock, OpenAI, Anthropic, Ollama or LangChain. Demonstrates experience with graph databases, agentic systems, workflow orchestration or low-code/no-code AI tooling. Displays initiative in mentoring engineers, developing reusable engineering standards and contributing to AI communities of practice.