Senior Generative AI Engineer

Location: London, UK. Hybrid working with 2 days per week in the London office.

Company

hirify.global is the UK's largest online car-selling platform, connecting private sellers with more than 8,000 dealers through a technology-led marketplace.

What you will do

• Own AI features end to end, from ambiguous problems through to reliable, observable production systems used by customers.
• Build retrieval and data foundations, including grounding data and systems that support high-quality AI features.
• Design evaluation, monitoring, safety, and reliability approaches for GenAI applications.
• Build LLM-powered applications and agents with orchestration, APIs, structured outputs, and production software practices.
• Make decisions about models, operating cost, and latency, and document the reasoning behind them.
• Prototype quickly, develop reusable components, review code and designs, and communicate technical decisions to product managers and stakeholders.

Requirements

• Experience shipping AI or ML systems that real users depend on and staying close to their production operation.
• Strong Python and practical SQL skills, including assembling grounding data, building golden datasets, and investigating failures.
• Experience with testing, error handling, CI/CD, observability, and MLOps practices for live systems.
• Hands-on experience with LLM APIs, retrieval and vector stores, tool-using agents, and structured outputs.
• Experience running AI systems on AWS and GCP cloud infrastructure.
• Ability to design trustworthy evaluations and reason about hallucinations, prompt injection, model failure modes, and their impact on users.
• Ability to choose appropriately between models and simpler solutions, and to take responsibility for shipped systems.

Nice to have

• Background in either data science and machine learning with developed software engineering skills, or software engineering with developed ML and data skills.
• Curiosity about unclear problems, constructive disagreement, early collaboration, and attention to the operational work that makes AI features reliable.

Culture & Benefits

• Flexible hybrid working with 2 days per week in the London office.
• 25 days of holiday, private medical insurance through BUPA, life assurance, and a pension scheme with a 5% company contribution.
• Equity scheme, enhanced family leave including up to 26 weeks of full-pay maternity or adoption leave, and a 24/7 Employee Assistance Programme.
• EV leasing, cycle-to-work, nursery salary-sacrifice schemes, and 1 paid volunteering day per year.