Python Senior Engineer - 12 Months - London - Hybrid

You will join the Recommendations team, contributing to the AI Stylist experience, an AI-powered product that combines conversational interfaces with recommendation capabilities.

The work sits at the intersection of engineering and AI, focused on improving relevance, quality, and reliability in a live, customer-facing system.

You will collaborate closely with engineers, data scientists, and product stakeholders to evolve the system and support its rapid growth

Your responsibilities:

• Building and evolving AI-powered services using Python
• Designing and implementing evaluation frameworks for LLM-based systems
• Improving output quality through structured evals rather than purely code changes
• Applying techniques such as LLM-as-a-Judge to assess response and recommendation quality
• Working with non-deterministic systems and iterating based on real-world behaviour
• Integrating AI services into a broader platform and API ecosystem
• Contributing to production readiness including reliability, observability, and performance
• Partnering with data scientists on prompts, model usage, and evaluation strategies

Essential skills/knowledge/experience:

• Strong Python engineering experience in production environments
• Experience building AI-enabled applications, particularly in recommendation or conversational systems
• Hands-on experience with evaluation frameworks for LLM or AI systems
• Clear understanding of how AI systems differ from traditional deterministic systems
• Ability to design meaningful evals and improve system quality over time
• Experience working in cross-functional teams with engineering, data, and product

Desirable skills/knowledge/experience:

• Experience with Azure AI services or similar platforms
• Familiarity with OpenAI or similar SDKs
• Exposure to infrastructure and distributed systems
• Experience with tools such as Terraform or Kafka

The Offer

• Day Rate: £450/day (inside IR35)
• Length: 12 Months (Extenstion Potential)
• Mode: Hybrid (2x p/w in London)
• Start: ASAP