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Founding AI Engineer

GrandDublin
On-site Full-time

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Experience Level

Experience

Qualifications

Essential RequirementsStrong foundation in backend engineering principles. Demonstrated experience in deploying AI or LLM-based systems into production environments. Expertise in designing distributed systems with state management, retries, and failure handling mechanisms. Comfort and experience working with probabilistic systems in high-stakes environments. Excellent problem-solving skills and attention to detail. Ability to communicate effectively with cross-functional teams, including regulatory, product, and data science.

About the job

The Opportunity

We are seeking a pioneering Founding AI Engineer to develop systems that ensure AI operates in a safe, reliable, and repeatable manner at Grand. This pivotal role focuses on transforming intelligence into production-ready capabilities, combining an AI-first approach with engineering instincts for control, failure handling, and system integrity.

This role is distinct from product feature development or research; you will not be responsible for user experience or model theory. Instead, your ownership will encompass AI operations within the system, including orchestration, guardrails, observability, auditability, and lifecycle management.

As a close collaborator with the founders, product, data science, and regulatory teams, you will influence how AI decisions are triggered, constrained, inspected, and executed in a regulated environment. This position offers a chance to contribute significantly to the company's foundational structure.

Your Responsibilities

  • Design and implement the runtime and orchestration layer for AI systems across our platform.
  • Transform probabilistic AI outputs into controlled, repeatable behaviors within the system.
  • Define the processes for triggering, gating, validating, and executing AI decisions.
  • Integrate guardrails, fallbacks, and confidence thresholds into AI workflows.
  • Design human-in-the-loop and escalation pathways as necessary.
  • Manage prompt lifecycle, including evaluation and versioning.
  • Oversee context assembly, scoping, and data boundaries for AI tasks.
  • Establish systems for logging, tracing, replaying, and auditing AI processes.
  • Control latency, cost, reliability, and performance in production environments.
  • Collaborate closely with AI data scientists to transition models and signals into production.
  • Work together with product engineers to ensure safe AI integration within workflows.
  • Ensure that AI systems are defensible, inspectable, and ready for regulatory scrutiny.

About Grand

Grand is at the forefront of AI technology, dedicated to creating robust systems that harness the power of artificial intelligence. We believe in building a safe and efficient future through intelligent automation and innovative solutions.

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