Design and build the runtime and orchestration layer for AI systems across the platform
Turn probabilistic AI outputs into controlled, repeatable system behaviour
Define how AI decisions are triggered, gated, validated, and executed
Build guardrails, fallbacks, and confidence thresholds into AI flows
Design human-in-the-loop and escalation paths where required
Own prompt lifecycle management, evaluation, and versioning
Manage context assembly, scoping, and data boundaries for AI tasks
Build systems for logging, tracing, replay, and auditability
Control latency, cost, reliability, and degradation in production
Partner closely with AI data scientists to productionise models and signals
Collaborate with product engineers to integrate AI safely into workflows
Ensure AI systems are defensible, inspectable, and regulator-ready

Strong backend engineering fundamentals
Proven experience shipping AI or LLM-based systems into production
Experience designing distributed systems with state, retries, and failure handling
Comfort working with probabilistic systems in high-consequence environments
Experience building guardrails, validation layers, or control flows around AI
Strong understanding of observability, logging, and system diagnostics
Experience managing model or prompt lifecycles in real systems
Ability to reason clearly about failure modes and degradation
Clear communicator who can explain complex system behaviour plainly
High technical judgment and strong ownership instincts

Excellent Salary: Competitive and reflective of the responsibilities of a founding role
Equity Options: Meaningful ownership in a long-term company
Hybrid Work: At least 3 days in our London or Dublin office
Extended Remote Work on Request: Outcomes matter more than optics
Builders, Not Tourists: Work with people who care deeply about getting this right

Founding AI Engineer

Key skills