Ai Engineer - Performance Team

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Engineer - Performance Team based in Portugal.

As an AI Engineer focused on performance and reliability, you will play a key role in improving the quality, accuracy, and scalability of AI-powered products used by thousands of users every week. Working in a fully remote and collaborative environment, you will design, evaluate, and optimize AI agents while ensuring consistent performance in production. This role combines experimentation, analytical thinking, and hands-on development, offering the opportunity to work with cutting-edge LLM technologies and emerging AI tools. You will contribute directly to the evolution of AI systems, helping transform innovative ideas into reliable, high-impact solutions. Ideal for professionals passionate about AI performance, this position offers significant autonomy, continuous learning opportunities, and the chance to shape best practices in a rapidly evolving field.

• Design, develop, and optimize AI agents to improve performance, reliability, and user experience across production environments.
• Create, maintain, and enhance evaluation frameworks to measure agent accuracy and ensure consistent quality standards.
• Monitor user feedback, identify performance issues, and implement improvements based on insights and real-world usage data.
• Conduct experiments involving prompts, models, agent architectures, and workflows to increase effectiveness and efficiency.
• Maintain and improve AI evaluation infrastructure, ensuring scalability, reliability, and cost-effectiveness within CI/CD pipelines.
• Stay informed about the latest developments in AI, large language models, and agent technologies to continuously improve solutions.
• Collaborate closely with engineering, product, and design teams to deliver high-quality AI-powered experiences.
• Document findings, share learnings, and contribute to the establishment of AI performance best practices.

Requirements

• Practical coding experience with Python and/or TypeScript.
• Demonstrated hands-on experience working with Large Language Models, either through professional projects or personal initiatives.
• Experience designing, building, or maintaining AI agents and agent-based workflows.
• Strong understanding of LLM providers, model capabilities, limitations, and performance trade-offs.
• Familiarity with AI development tools and frameworks, including OpenAI APIs and modern agent development ecosystems.
• Exposure to observability, evaluation, or monitoring tools for AI applications is considered an advantage.
• Experience with open-source AI models is a plus.
• Background in software engineering, product development, quality assurance, or data-related disciplines is beneficial.
• Strong analytical mindset with a passion for experimentation, testing, and continuous improvement.
• Comfortable working in ambiguous environments where processes evolve alongside technological advancements.
• Excellent communication skills and a proactive approach to sharing knowledge and collaborating with cross-functional teams.
• Professional proficiency in English; knowledge of Portuguese, Spanish, or Italian is considered a plus.

Benefits

• Competitive annual gross salary ranging from €40,000 to €60,000.
• Equity participation through a VSOP program.
• Permanent employment contract.
• Fully remote work environment within Europe.
• Flexible compensation package and employee benefits card.
• Company-provided MacBook and a €500 onboarding budget for workstation setup.
• Annual €2,000 professional development budget for learning, equipment, and remote work support.
• Comprehensive health insurance, with options to include family members depending on location.
• 25 paid vacation days per year.
• Additional caring days to support personal projects and social impact initiatives.
• Family-friendly policies, including extra paid parental leave and additional days off for birthdays.
• Regular team gatherings and opportunities to connect with colleagues in person.
• Inclusive, collaborative, and diverse company culture focused on autonomy, ownership, and professional growth.