AI Engineer

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, and cutting-edge development tools.

This listing is from ats_lever. View original listing ↗