AI Engineer positions focus on delivering results in their domain. This page aggregates open AI Engineer roles and what employers typically expect.
**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 based in United Kingdom.** As an AI Engineer, you will design, build, and deploy cutting-edge AI solutions that deliver real business value within a modern SaaS environment. Working as part of a collaborative Data & AI team, you will develop production-ready LLM applications, RAG pipelines, and AI-powered workflows while partnering closely with engineering and business stakeholders. This role offers end-to-end ownership across the AI development lifecycle, from problem definition and model implementation to deployment and monitoring. You'll contribute to scalable cloud-based solutions while leveraging the latest AI development tools to accelerate innovation. If you're passionate about applied AI, enjoy solving complex technical challenges, and thrive in a remote, high-autonomy environment, this is an exciting opportunity to shape impactful AI products. ### Accountabilities - Design, develop, and deploy production-ready AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and other machine learning techniques. - Own the end-to-end lifecycle of AI features, including problem definition, data preparation, model development, evaluation, deployment, monitoring, and continuous improvement. - Build and maintain scalable AI pipelines for data preprocessing, feature engineering, model inference, and application integration. - Integrate AI capabilities into cloud-based infrastructure while ensuring performance, scalability, reliability, and security. - Collaborate closely with software engineers, product teams, and business stakeholders to embed AI features into customer-facing products and internal systems. - Leverage modern AI-assisted development tools to improve engineering productivity and contribute to AI-driven development best practices. - Identify new opportunities where AI can optimize workflows, enhance products, and generate measurable business impact. ## Requirements - Minimum of 3 years of experience in software development, including at least 1 year focused on AI or machine learning engineering. - Proven experience building and deploying LLM-based applications or Retrieval-Augmented Generation (RAG) solutions in production environments. - Strong programming skills in Python, with hands-on experience using FastAPI, asynchronous programming, and modern backend development practices. - Practical experience integrating AI solutions into cloud platforms, preferably AWS, with an understanding of scalable distributed systems. - Solid knowledge of database technologies, data processing, algorithm design, statistics, and machine learning fundamentals. - Experience using AI-powered development tools such as Cursor, Claude Code, GitHub Copilot, or similar within professional engineering workflows. - Familiarity with MLOps concepts, vector databases, semantic search technologies, and AI frameworks such as PyTorch, TensorFlow, LangChain, or equivalent is an advantage. - Strong communication skills, a collaborative mindset, and the ability to work effectively within remote, asynchronous, cross-functional teams. - Self-motivated, curious, and proactive, with a strong sense of ownership and a continuous learning mindset. ## Benefits - Competitive salary package. - Full-time remote-first role with flexibility to work from Germany. - Asynchronous working environment that promotes autonomy and work-life balance. - Opportunity to work abroad temporarily while remaining part of the team. - Career development and internal growth opportunities within a rapidly expanding international organization. - Company-provided hardware and equipment to ensure a productive working environment from day one. - Collaborative, diverse, and inclusive international culture focused on innovation and continuous learning. - Opportunity to work with modern AI technologies, cloud platforms,…