Software Engineer AI

Company: Aperia Search
Apply for the Software Engineer AI
Location: London
Job Description:

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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Posted: June 12th, 2026