Applied AI Engineer

Role overview

We are seeking an Applied AI Engineer in Ireland for a partner organization that will handle applications and the rest of the hiring process. This is a high-impact engineering position centered on building the core systems that support AI and machine learning across the business. The role sits at the intersection of platform engineering and applied AI, with responsibility for creating the infrastructure that helps teams build, deploy, monitor, and operate LLM- and ML-driven products at scale.

You will be shaping how AI services are accessed, evaluated, monitored, and governed in production. Rather than owning a single product, you will develop shared platform capabilities that multiple engineering and product teams can use. The environment is fast-paced, collaborative, and technically demanding, with a strong focus on reliability, scalability, and a smooth developer experience. This opportunity is well suited to engineers who enjoy solving complex systems challenges and enabling others to deliver better AI products.

Key responsibilities

• Create and improve platform services such as LLM routing or proxy layers, internal APIs, and reusable tooling for AI and ML workflows.
• Advance LLMOps and MLOps capabilities, including observability, monitoring, evaluation, and deployment processes.
• Own support for the full AI system lifecycle, from testing and scaling through optimization and production stability.
• Work closely with product, infrastructure, and data teams to establish consistent, reusable ways of building AI solutions.
• Take part in system design choices that improve performance, cost control, safety, and response latency for AI services.
• Assess and bring in new AI models, frameworks, and tools that can strengthen shared platform functionality.

Requirements

• At least 4 years of software engineering experience, including work on production-grade systems.
• Minimum 1 year of hands-on experience in MLOps, LLMOps, or AI/ML infrastructure-focused roles.
• Background in building backend systems, internal platforms, or developer tooling for engineering teams.
• Strong grasp of the end-to-end ML and LLM lifecycle, especially deployment and production operations.
• Good engineering judgment with the ability to weigh reliability, scalability, latency, cost, and maintainability.
• Strong communication and teamwork skills, with a collaborative mindset.
• Comfort working with TypeScript and Python, or willingness to learn them in backend/platform settings.

Benefits

• Competitive pay package with base salary, variable compensation, and equity.
• Full healthcare coverage, including medical, dental, and vision.
• Flexible work setup with a remote-first or hybrid-friendly approach.
• Unlimited paid leave and generous parental leave support.
• Learning and development budget to encourage ongoing growth.
• Home office stipend plus equipment support.
• Mental health and wellness resources.
• Chance to help build AI infrastructure that is used at scale.

Application and privacy details

The hiring process is managed by a partner company. Applications are reviewed through an AI-assisted matching process designed to shortlist candidates against the core requirements more quickly and consistently. The shortlisted profiles are shared with the hiring company, while interviews, assessments, and final hiring decisions are handled by their internal team.

By submitting an application, you consent to the processing of your personal data for recruitment evaluation and for sharing relevant details with the hiring employer, in line with applicable data protection laws such as GDPR. You may request access, correction, deletion, or objection at any time. AI tools may also support parts of the recruitment workflow, including resume review and response analysis, but final decisions remain with human reviewers.