Senior AI Engineer

Job Overview

About This Role

ROLE OVERVIEW You will own an AI application module or agentic workflow end to end, including the parts most teams skip evaluation, guardrails, cost, and reliability. This is production AI engineering rather than prototyping. You will work directly with the client product owners who define how a feature should behave, and we keep teams small and senior, so there is little distance between your work and the users who depend on it. If you have shipped a GenAI feature that real users rely on, and know how much harder that is than the demo, this role is built for you.

Responsibilities

• ✓• Design the prompt and agent architecture for a feature, and own the technical approach within your module
• ✓• Build evaluation harnesses so model quality is measured rather than assessed by feel
• ✓• Build guardrail frameworks covering safety, failure modes and edge case behaviour
• ✓• Optimise latency and cost across LLM calls without giving up output quality
• ✓• Integrate AI components into production systems and own their reliability
• ✓• Demonstrate features directly to client product owners and gather requirements independently
• ✓• Mentor junior engineers on prompt and agent design and on testing discipline

Qualifications & Requirements

• ✓3 to 6 years of software or AI engineering experience
• ✓• At least one GenAI feature shipped to production and maintained after launch
• ✓• Experience building evaluation harnesses or guardrail frameworks from scratch
• ✓• Fine-tuning and adapter methods such as LoRA
• ✓• Exposure to AI security and adversarial testing, including prompt injection defence
• ✓• Prior mentoring experience, formal or informal