Senior Software Engineer

1 week ago

London, Greater London, United Kingdom Oxford Economics Full time

We are seeking a skilled Senior Software Engineer with expertise in Generative AI and Large Language Models (LLMs) to help grow adoption across our organisation.

As part of our AI Platform team, you will play a pivotal role in developing and deploying systems that leverage the power of LLMs and generative AI.

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


As our lead AI Engineer, you will work with the in-house team behind our first wave of AI Assistants and Tools in use across Oxford Economics.

Your team will be part of an established team of customer-focused individuals who are passionate about solving complex problems at scale.

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.


Main ResponsibilitiesnAI Integration :

Collaborate with the product team to integrate AI features into our platform such as NLP, chatbot frameworks, and AI model APIs that enhance product value.


nSoftware System Development and Maintenance :
Design, develop, and maintain software systems integral to LLMs and Generative AI. These systems form the backbone of your platform, directly contributing to its core functionality.

nOptimization and Efficiency :
Optimize existing software for performance, scalability, and reliability. Improving current systems ensures efficiency, scalability, and user satisfaction.

nSecurity and Vulnerability Prevention :
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.

nCommunication :
Implement APIs for seamless communication between our platform and key external services e.g. OpenAI.

nData 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.


nUser Authentication and Access Control :
Implement secure authentication mechanisms for user access. Define access controls and permissions for different user roles to ensure proper data handling and user management.

nUser 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

nSystem Stability and Performance :
Conduct load testing to optimize performance. Monitor system performance proactively and address bottlenecks to maintain system health.

nPricing 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.


Key Working RelationshipsnInternal:
nSoftware Developers / Product OwnernHead of Information SecuritynEconomists / Consulting TeamsnExternal:nCloud providersnSoftware vendors

Skills and Experience:
RequirednAt least 4 years of software development experience across the product lifecycle in a modern engineering environment (APIs, CI/CD, Cloud infrastructure, Git, Agile, Scrum)nProficiency in programming languages: C#/Java and Python

Commercial experience in the following:

nWriting production features leveraging LLMs and generative AInAdding vector search to production applications using vector databasesnInteracting with relational datasets with dynamic SQLnCloud computing platforms - Azure, AWS, or GCPnServerless architecture, azure function apps or similar (such as AWS lambda).


Solid understanding of the following concepts:nHow embedding models work and how they are used for semantic search.nInformation retrieval systems in general and how to use traditional IR tools and systems to monitor, measure, and optimize the results of our retrieval systems.nPrompt engineering in the context of production applications, knowing the capabilities and limitations of LLMs, and having a good intuition of where and when we should delegate functionality to them.nStrong Problem-Solving Skills and ability to identify critical issues and propose effective solutions.nAbility and collaborate effectively with cross-functional teams.

nUnderstanding of microservices architectures and distributed systemsnUnderstanding of data structures, algorithms, and software design principlesnExperience building and maintaining large-scale software systemsnKnowledge of modern software engineering practices (CI/CD, containerization)nComfortable working independently and handling ambiguity

Skills and Experience:

DesirednUniversity honours degree qualification preferably in Computer Science, Mathematics, Statistics, or other quantitative fields, or related work experiencenDomain experience / demonstrable interest in economics-related fieldsnExperience or familiarity with AI model evaluation techniquesnUnderstanding of the state of the art in generative AI, including RAG, LoRA, RLHF and othersnUI/UX: Ability to create intuitive user interfaces.

nWorking understanding of Dev Ops, CI/CD and integrating systems into a deployment pipeline including cloud development (Azure preferred)nAn 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.


About Oxford EconomicsnOxford 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.

Our best-of-class global economic and industry models and analytical tools give us an unparalleled ability to forecast external market trends and assess their economic, social and business impact.


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.

We look forward to welcoming you to the Oxford Economics family.

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