Senior Applied AI Engineer

Role overview Lead the development of applied AI systems that help compliance teams interpret complex regulatory and legal materials and assess risk. The role covers the full lifecycle, from research and experimentation through production deployment, with responsibility for making model outputs dependable in high-stakes customer workflows.

Responsibilities - Design, train, and deploy machine learning systems for compliance automation. - Integrate and adapt large language models for regulatory document analysis and interpretation. - Build document-processing pipelines that extract structure, meaning, and risk signals from complex materials. - Develop risk assessment capabilities that surface useful findings to compliance teams. - Create evaluation methods, quality benchmarks, and monitoring for model output. - Work with product and engineering partners to deliver customer-facing AI features and apply relevant advances in AI research.

Requirements - At least 5 years of applied AI or machine learning engineering experience in production settings. - Practical experience integrating large language models, whether commercial or open source. - Strong Python and machine learning engineering fundamentals. - Experience in natural language processing, document understanding, or information extraction.

Benefits and work setup - Full-time, remote-first role, with the option to work from an office in Tallinn, Estonia. - Competitive compensation and early-stage equity are listed. - Hardware budget, access to AI tools, annual learning funds, and conference support. - Async-first working practices, protected focus time, and direct influence over product and architecture.