We are seeking a skilled Software Engineer with expertise in Generative AI and Large Language Models (LLMs) to help grow adoption across our organisation. Your responsibilities will include interpreting AI use cases, building and integrating solutions, optimising performance, and ensuring seamless deployment. If you are passionate about AI, thrive in an agile environment, and have a knack for effective communication and stakeholder management, we’d love to hear from you!
Our databanks and modelling software provide clients across the world with advanced economic forecasting technology covering a range of industrial and commercial scenarios. Your team will own and maintain its own software and be responsible for ensuring the quality and information security of your deliverables.
Software System Development and Maintenance : Design, develop, and maintain software systems integral to LLMs and Generative AI. Optimization and Efficiency : Optimize existing software for performance, scalability, and reliability. Implement robust security measures, including following our SDLC, conforming to ISO27001 and protecting against SQL injection attacks. Security is paramount to safeguard user data and prevent vulnerabilities.
Data Privacy and Compliance : Work with our Head of Information Security to ensure data privacy and compliance with relevant regulations and that relevant legal and ethical considerations are incorporated to build trust.
Define access controls and permissions for different user roles to ensure proper data handling and user management.
User Insights and Experience : Ensure correct instrumentation and management of performance and usage data to allow integration of valuable usage data to help drive business strategy.
System Stability and Performance : Conduct load testing to optimize performance. Monitor system performance proactively and address bottlenecks to maintain system health.
Pricing Strategy and Collaboration : Work with senior business stakeholders and product owners to implement pricing models tied to usage that can drive adoption and successful product monetization.
Software Developers / Product Owner
Head of Information Security
Software vendors
At least 4 years of software development experience across the product lifecycle in a modern engineering environment (APIs, CI/CD, Cloud infrastructure, Git, Agile, Scrum)
Proficiency in programming languages: Python, Typescript and C#
Commercial experience in the following:
Writing production features leveraging LLMs and generative AI
Adding vector search to production applications using vector databases
Interacting with relational datasets with dynamic SQL
Cloud computing platforms - Azure, AWS, or GCP
Serverless architecture, azure function apps or similar (such as AWS lambda).
Understanding of data structures, algorithms, and software design principles
Experience building and maintaining large-scale software systems
Knowledge of modern software engineering practices (CI/CD, containerization)
University honours degree qualification preferably in Computer Science, Mathematics, Statistics, or other quantitative fields, or related work experience
Domain experience / demonstrable interest in economics-related fields
UI/UX: Ability to create intuitive user interfaces.
Working understanding of Dev Ops, CI/CD and integrating systems into a deployment pipeline including cloud development (Azure preferred)
An understanding of object-orientation, idiomatic and pattern-oriented, modern software design, programming principles and development best practices
Oxford Economics is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.
Oxford Economics was founded in 1981 as a commercial venture with Oxford University’s business college to provide economic forecasting and modelling to UK companies and financial institutions expanding abroad. Since then, we have become one of the world’s foremost independent global advisory firms, providing reports, forecasts and analytical tools on more than 200 countries, 250 industrial sectors, and 7,000 cities and regions. Headquartered in Oxford, England, with regional centres in London, New York, and Singapore, Oxford Economics has offices across the globe in Belfast, Boston, Cape Town, Chicago, Dubai, Frankfurt, Hong Kong, Houston, Johannesburg, Los Angeles, Melbourne, Mexico City, Milan, Paris, Philadelphia, Sydney, Tokyo, and Toronto. We employ over 600 full-time staff, including more than 400 professional economists, industry experts and business editors—one of the largest teams of macroeconomists and thought leadership specialists. Our global team is highly skilled in a full range of research techniques and thought leadership capabilities, from econometric modelling, scenario framing, and economic impact analysis to market surveys, case studies, expert panels, and web analytics.