Requirements
- 3+ years in solutions engineering, forward-deployed engineering, or consulting engineering, ideally with enterprise-facing experience. Open to less years for exceptional builders who ship and learn fast.
- LLM/AI experience: prompt design, evaluation, and deployment of LLM-powered systems. Understanding of memory/knowledge retrieval and safety/guardrails.
- Systems & judgment: track record of deciding what should be bespoke vs. reusable, designing for modularity without over-engineering.
- Enterprise craft: stakeholder management, discovery, and communication. You know when to push back and when to ship.
- Collaborate deeply: Partner with Product, AI Engineering, and Coaching SMEs to deliver solutions with measurable impact.
- Quality mindset: you hold the line on accuracy, safety, and performance while maintaining pragmatism.
Nice to Have
- Growth mindset: Growth mindset focused on continuous skill development in rapidly evolving AI landscape
- Startup DNA: Startup experience preferred with proven comfort navigating ambiguity and high-velocity execution.
Work Arrangement
Hybrid — UK
