Software Developer; Artificial Intelligence

Software Developer (Artificial Intelligence)

Department: IT

Employment Type: Full Time

Location: Remote, UK

Oxford Economics, a leading economic forecasting and consulting firm, is looking for an ambitious, passionate Software Engineer with a strong interest in AI to join our Technology team and help us build, ship and scale the next generation of AI-enabled capabilities at Oxford Economics. This is a hands-on engineering role for someone who writes great software, is genuinely excited by emerging technology, and wants to build tools people actively use.

You will work across our Content, Data and Models teams, embedding alongside them to understand their workflows, identify where AI can make a meaningful difference, and develop practical solutions around real business challenges. The role will involve a mix of prototyping, software engineering, integrations, workflow automation, and product ionising AI-enabled features across internal and client-facing platforms.

This role suits someone who learns fast, enjoys solving problems across different domains, and likes building things that move from idea to production. You will work closely with engineers, economists, product owners, and business stakeholders across the organisation, helping shape how AI is applied across research, consulting, sales, and operational workflows.

• Design, build and ship production software that brings AI capabilities to OE’s production teams including agents, retrieval‑augmented generation (RAG) pipelines, conversational interfaces, internal tools and client‑facing features.
• Embed with delivery teams to understand their domain, identify high‑leverage opportunities for AI, and translate them into working software that genuinely improves how they work.
• Collaborate with Product Owners to establish business requirements and develop them into tangible deliverables, adapting based on the business needs.
• Build and operate Model Context Protocol (MCP) servers and other integrations that connect frontier models to OE’s data, systems and workflows, including Salesforce, Microsoft 365, Azure and our proprietary economic forecasts and datasets.
• Take ideas from prototype to production end‑to‑end, owning the full software lifecycle: design, code, testing, CI/CD, observability, cost monitoring, evaluation and safe rollout.
• Apply solid software engineering fundamentals, clean code, testing, modularity, performance, security, to AI‑enabled systems, where quality and reliability matter just as much as anywhere else.
• Experiment with new models, frameworks and techniques as they emerge, and form a strong, well‑evidenced point of view on what is hype and what is worth betting on.
• Design evaluation harnesses and feedback loops so we can measure whether our features are actually working, and keep improving them as models and data evolve.
• Help shape OE’s internal AI tooling, including Claude skills, internal MCP servers, shared libraries and the wider AI application framework.
• Embed AI safety, security and responsible‑use practices into everything you build, including data handling, prompt‑injection defences, and alignment with ISO 27001 controls and OE’s AI Acceptable Use Policy.
• Contribute to internal AI enablement, share what you learn, run brown‑bag sessions, write up patterns and help colleagues across OE raise their own AI fluency.
• Stay close to the frontier: track research, model releases and ecosystem developments, and bring back what matters for OE.

• Software Engineering / Product Owners
• IT Operations
• Business Development / Marketing

• Frontier model providers (e.g. Anthropic)
• Cloud providers
• AI tooling and SaaS vendors

• 2+ years of professional software engineering experience, shipping production code in modern cloud environments.
• Software engineering fundamentals, clean code, testing, version control, code review, modular design and a feel for when to be pragmatic versus principled.
• Strong proficiency in C#/Type Script, with comfort working across the stack from APIs through to lightweight user interfaces.
• Experience designing, deploying and operating cloud‑native services on…