London Hybrid (2 days per week in office)
Our client is an ecommerce leader in the consumer space, and is investing heavily in building AI-powered products, intelligent automation solutions and next-generation customer experiences that will create meaningful commercial impact across the business.
This is a role for someone who enjoys building software, solving complex technical problems and working with emerging technologies. You’ll work at the intersection of software engineering, AI and product development, creating production-grade applications that leverage LLMs, agentic workflows and modern AI frameworks to solve real business challenges.
Opportunity
- Join at the beginning of a major AI investment programme
- Build AI-powered products that will be deployed across a large ecommerce organisation
- Be one of the first dedicated engineers focused on developing AI applications and intelligent systems
- Significant ownership and technical influence from day one
- Greenfield environment with freedom to shape architecture, tooling and engineering standards
- Work closely with senior stakeholders to identify where AI can create genuine business value
- Design and deliver solutions that move beyond proof-of-concepts into production
- Opportunity to help shape the future direction of AI within a fast-growing business
- Exposure to a wide variety of AI, engineering and product challenges
- Design, build and deploy production-grade AI applications and services
- Develop intelligent workflows using LLMs, agentic architectures and orchestration frameworks
- Build RAG systems, knowledge retrieval platforms and AI-powered tooling
- Integrate AI applications with internal systems, business platforms and external services
- Develop scalable backend services and APIs that support AI-driven products
- Work closely with product, engineering and commercial teams to identify high-impact use cases
- Contribute to architecture decisions, platform design and engineering best practices
- Evaluate emerging AI technologies and determine where they can create competitive advantage
- Help establish standards around security, testing, observability and deployment of AI systems
- Strong software engineering foundations
- Experience building and deploying software products into production environments
- Excellent Python engineering skills and modern backend development experience
- Experience building APIs, integrations and scalable services
- Hands‑on experience working with LLMs and modern AI frameworks
- Experience building AI applications rather than purely researching models
- Exposure to RAG architectures, vector databases and agentic workflows
- Experience with LangChain, LangGraph, OpenAI, Anthropic or similar technologies
- MCP or similar protocols for connecting AI systems with tools, data sources and business applications
- Ability to balance engineering quality with commercial outcomes
- Up to £130,000 + Bonus + Benefits
- London Hybrid (2 days per week in office)
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