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Ai Engineer - Performance Team
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Ai Engineer - Performance Team
AI Engineer - Performance Team
Location: United Kingdom Company: Partner company (remote)
This position is listed on behalf of a partner company, who manages all applications and next steps. As an AI Engineer - Performance Team, you will play a critical role in enhancing the performance, accuracy, and scalability of AI-powered solutions used weekly by thousands of users. In a fully remote yet collaborative environment, your responsibilities include designing, evaluating, and optimizing AI agents while ensuring production reliability. This role bridges experimentation, analytical disciplines, and hands-on development—offering you exposure to leading-edge LLM technologies and emerging AI tools. Your work will directly shape the future of AI systems, turning innovative ideas into scalable, high-impact solutions.
About the Role
- Work in a fully remote, collaborative environment with significant autonomy.
- Focus on AI performance optimization, ensuring quality, reliability, and scalability.
- Combine theoretical research with hands-on development and testing.
- Contribute to defining and improving best practices in AI reliability.
- Ideal for professionals passionate about AI agent design and its real-world impact.
Accountabilities
- Design, develop, and optimize AI agents to improve performance, reliability, and user experience in production.
- Create, maintain, and enhance evaluation frameworks to measure agent accuracy and uphold quality standards.
- Monitor user feedback, identify performance bottlenecks, and implement improvements based on real-world data.
- Conduct cutting-edge experiments involving prompts, models, agent architectures, and workflows for maximum efficiency.
- Maintain and scale AI evaluation infrastructure within CI/CD pipelines, ensuring cost-effectiveness and reliability.
- Stay updated on the latest AI, large language model (LLM), and agent technology advancements.
- Collaborate closely with engineering, product, and design teams to deliver seamless AI experiences.
- Document findings, experiments, and learnings to establish lasting AI performance best practices.
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Requirements
Technical Skills & Experience
- Practical coding proficiency in Python and/or TypeScript.
- Hands-on experience with Large Language Models (LLMs) via professional or personal projects.
- Experience designing, building, or optimizing AI agents and agent-based workflows.
- Strong understanding of LLM providers, model capabilities, limitations, and trade-offs.
- Familiarity with AI development tools and frameworks, including OpenAPI and modern agent ecosystems (e.g., LangChain, AutoGen).
- Exposure to AI observability, monitoring, or evaluation tools (advantageous).
- Background in open-source AI models or frameworks is a bonus.
- Experience in software engineering, product development, QA, or data-related disciplines.
Soft Skills & Mindset
- Analytical mindset with a passion for experimentation, testing, and iteration.
- Comfortable navigating ambiguous and evolving processes.
- Excellent communication skills and strong collaboration ability.
- Proficient in English; knowledge of Portuguese, Spanish, or Italian is considered a plus.
- Adaptability to new challenges in fast-moving fields.
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Benefits
- Competitive salary: Annual gross remuneration between €40,000 and €60,000.
- Equity participation: Through a VSOP program.
- Permanent contract.
- Fully remote work environment (Europe-based).
- Flexible compensation with an employee benefits scheme.
- Technical support:
- Company-provided MacBook.
- €500 onboarding budget for your workstation setup.
- €2,000 annual development budget for learning materials, tools, or remote work upgrades.
- Healthcare benefits: Comprehensive insurance, with options to include family members based on eligibility.
- Well-being support:
- 25 paid vacation days.
- Optional caring days for personal projects or social impact initiatives.
- Family-friendly policies, including extended parental leave and extra days for birthdays/celebrations.
- Team engagement:
- Regular in-person gatherings and virtual networking opportunities.
- Diverse, inclusive culture focused on autonomy, ownership, and employee growth.
(Retrieval note: Accountabilities & benefits formatted with enhanced heading hierarchy and structured lists for clarity.)
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