AI Engineer - Performance Team

Overview

This opportunity is posted on behalf of a partner employer, which will handle applications and subsequent hiring steps. The role is for an AI Engineer - Performance Team based in Ireland, working fully remotely from within Europe.

You will focus on making AI products more dependable, accurate, and scalable for a large weekly user base. The position blends experimentation, practical engineering, and analytical problem-solving, with hands-on work across AI agents, evaluation methods, and production performance. It is a strong fit for someone who enjoys improving real-world AI systems, working with LLM technologies, and helping define reliable practices in a fast-moving space.

What You'll Do

• Build, refine, and optimize AI agents so they perform reliably and deliver a better user experience in production.
• Develop and improve evaluation systems that track agent accuracy and uphold quality standards.
• Review user feedback, diagnose performance gaps, and roll out enhancements based on usage data and observed issues.
• Run experiments across prompts, models, agent designs, and workflows to improve effectiveness and efficiency.
• Support and strengthen AI evaluation infrastructure so it remains scalable, dependable, and cost-aware within CI/CD workflows.
• Keep up with new progress in AI, large language models, and agent tooling, then apply useful learnings to the product.
• Work closely with engineering, product, and design colleagues to ship strong AI-driven experiences.
• Record insights, communicate learnings, and help establish best practices for AI performance.

Requirements

• Working coding experience in Python and/or TypeScript.
• Hands-on exposure to Large Language Models through professional work or personal projects.
• Experience creating, building, or maintaining AI agents and agent-based workflows.
• Good understanding of LLM providers, including their strengths, limitations, and trade-offs.
• Familiarity with AI development ecosystems and tools such as OpenAI APIs and modern agent frameworks.
• Exposure to observability, monitoring, or evaluation tools for AI systems is an advantage.
• Experience with open-source AI models is a plus.
• A background in software engineering, product work, QA, or data-focused roles would be beneficial.
• Strong analytical thinking and a clear interest in experimentation, testing, and ongoing improvement.
• Comfort working in changing or ambiguous environments where processes evolve with the technology.
• Strong communication skills and a proactive, collaborative approach across functions.
• Professional fluency in English; Portuguese, Spanish, or Italian would be an added advantage.

Benefits

• Annual gross pay between €40,000 and €60,000.
• Equity through a VSOP scheme.
• A permanent employment contract.
• Fully remote setup for candidates based in Europe.
• Flexible compensation and an employee benefits card.
• Company MacBook plus a €500 onboarding allowance to set up your workspace.
• €2,000 yearly development budget to support learning, equipment, and remote work needs.
• Health coverage, with family inclusion available depending on location.
• 25 paid vacation days each year.
• Extra caring days for personal initiatives and social impact activities.
• Family-supportive policies, including additional paid parental leave and birthday time off.
• Regular team meetups and in-person opportunities to connect with coworkers.
• An inclusive, diverse, and collaborative environment with a strong focus on autonomy, ownership, and growth.

Data Processing and Hiring Process

Applications are reviewed through an AI-assisted matching process so that candidates are assessed quickly, consistently, and fairly against the core requirements. The system helps identify the strongest matches, after which the shortlisted candidates are sent to the hiring company. Interviews, assessments, and final hiring decisions are handled by the employer’s internal team.

By applying, you agree that your personal data may be processed for candidacy evaluation and shared with the hiring employer under applicable data protection rules, including GDPR. You can request access, correction, deletion, or objection to this processing at any time.

Some parts of the recruitment workflow may use AI tools to review applications, examine resumes, or flag possible inconsistencies or verification signals. These tools support the recruitment team, but people make the final decisions. For further information about data processing, you may contact the recruiter.