AI Product Engineer - Frontend/Backend & AI Workflows

Understanding Recruitment; City Of London; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

Understanding Recruitment is partnering with an AI startup in Central London to hire an AI Product Engineer. You will build interfaces between users and AI-powered design systems, spanning frontend, backend, and applied AI to turn ideas into structured workflows.

You will translate natural-language inputs into engineering specs, design agentic systems, and evaluate model behavior with an eye toward reliability. Hybrid work and strong product focus are core to this role.

Qualifications

• Strong product-engineering fundamentals with experience delivering user-facing software.
• Deep understanding of LLM behaviour beyond prompting and API basics.
• Experience building agents that use tools and interact with backend services.
• Sound judgement around model selection, evaluation, and reliability.
• Ability translating ambiguous user needs into practical product features.

Responsibilities

• Build polished applications that help engineers describe, generate, and refine designs.
• Translate natural-language requests, images, and drawings into structured engineering specifications.
• Design agentic systems that interact with tools, backend services, and CAD/geometry systems.
• Evaluate models, investigate failures, and decide when adaptation or fine-tuning is needed.
• Create workflows letting users review, correct, and guide AI-generated outputs.
• Own features across frontend, backend, and applied AI from design through implementation.

Skills

Frontend development

Backend development

Applied AI

LLM behaviour

Agentic systems

React

TypeScript

Python

Job description

Understanding Recruitment is partnering with an AI startup in Central London to hire an AI Product Engineer. You will build interfaces between users and AI-powered design systems, spanning frontend, backend, and applied AI to turn ideas into structured workflows.

You will translate natural-language inputs into engineering specs, design agentic systems, and evaluate model behavior with an eye toward reliability. Hybrid work and strong product focus are core to this role.