Founding AI Engineer (LLM Systems, Agents & Decision Intelligence)
£100,000-130,000 Depending on Experience + Equity
London
MBN Solutions are partnering with a start up AI platform that specialises in Synthetic Human behaviour.
We are hiring a Founding AI Engineer to help build AI systems that let companies test decisions before they happen.
We're building a decision platform that helps businesses understand how customers, markets, and competitors may respond before a pricing change, product launch, or growth initiative goes live.
Today, many critical business decisions are still tested directly in the real world. We believe there should be a safer environment to explore those decisions first.
As a Founding AI Engineer, you'll work on the intelligence layer behind that vision:
• Build production-grade LLM and agentic workflows
• Design evaluation, tracing, replay, and quality-control systems
• Turn messy business data into reliable reasoning contexts
• Improve AI reliability through structured outputs, retrieval, calibration, and testing
• Develop systems that expose assumptions, uncertainty, and evidence
• Help define what trustworthy AI predictions look like
We're looking for someone with:
✓ 5+ years of engineering experience
✓ Strong Python and production systems expertise
✓ Hands-on experience with LLMs, agents, RAG, or AI workflow systems
✓ Experience building evaluation frameworks, tests, or quality gates for AI systems
✓ Strong product instincts and comfort working in ambiguity
This isn't a prompt-engineering role, and it isn't pure research. You'll be building real systems that help customers make better decisions and continuously improve by learning from real-world outcomes.
If you're excited by AI systems that are auditable, measurable, and tested against reality, we'd love to hear from you.
#Hiring #AIEngineer #MachineLearning #LLM #AgenticAI #FoundingEngineer #ArtificialIntelligence #StartupJobs #Python #RAG
Founding AI Engineer (LLM System, Agent & Decision Intelligence) • City of London, London, United Kingdom
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