Senior Applied AI Engineer

Role overview This role focuses on designing and shipping applied AI systems that solve concrete business problems for enterprise clients. The work spans the full stack of applied AI, from LLM-powered applications and ML pipelines through to production deployment and monitoring. It is a hands-on, client-facing engineering position embedded directly with customer teams.

Responsibilities - Design, build, and deploy machine learning and LLM-powered applications for enterprise clients - Own the full lifecycle of AI solutions, from prototyping and experimentation through production deployment and ongoing monitoring - Collaborate directly with client teams to translate business problems into technical approaches - Build and optimize data pipelines, model serving infrastructure, and evaluation frameworks on AWS or Azure - Communicate progress, trade-offs, and recommendations to both technical and non-technical stakeholders - Contribute to internal tooling, best practices, and knowledge sharing across the delivery team

Requirements - 4+ years of experience building machine learning applications, grounded in mathematics and statistics - Hands-on experience with NLP and LLM-based systems, including prompt engineering, fine-tuning, RAG, and agent architectures - Solid software engineering fundamentals with a track record of clean, testable, production-grade code - Familiarity with AWS or Azure and with building scalable, reliable systems - Strong results orientation, able to manage urgency without cutting corners - Clear written and spoken communication, comfortable in client-facing settings - First-principles thinker who can dissect complex problems and propose innovative approaches - Active curiosity about AI, with awareness of emerging trends and new techniques

Benefits and work setup - Fully remote, full-time engagement based in Europe