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Текст:
Hirify AI/Оригинал
TL;DR
AI Engineer (Generative AI): Building large-scale AI-powered systems and generative AI applications for complex financial and legal workflows with an accent on information retrieval, knowledge graphs, recommendation systems, and predictive modelling. Focus on driving the full model lifecycle, deploying production-ready solutions on AWS, and translating complex problems into practical product improvements.
Location: London, United Kingdom. Hybrid working is required, with regular office attendance; from January 2027, employees will work from their designated hirify.global office on Tuesdays and Wednesdays, with some teams requiring more frequent attendance.
Company
hirify.global provides an AI platform for global debt markets, centralizing credit data, analysis, and workflows for financial and professional-services institutions.
What you will do
Design and build generative AI applications for complex financial and legal workflows using state-of-the-art models.
Drive the end-to-end model development lifecycle, including experimentation, training, testing, monitoring, deployment, and reproducible research.
Collaborate cross-functionally to understand business problems, define scoped product bets, and improve end-user outcomes.
Apply research and advanced AI techniques in a fast-paced internal startup-style environment.
Share ideas and work across the organization and help lead AI adoption at hirify.global.
Mentor and elevate teammates through knowledge sharing and strong engineering practices.
Requirements
Strong proficiency in Python for production-ready delivery.
Expertise in at least one of the following areas, with familiarity with others: information retrieval; entity and relationship extraction or resolution; knowledge graphs and graphRAG; recommendation systems and ranking; tabular machine learning; or statistical and predictive modelling.
Deep understanding of the generative AI landscape and agentic frameworks.
Experience across the full model lifecycle, including experimentation, training, testing, monitoring, and deployment.
Strong product focus and willingness to understand the end-to-end impact of solutions for end users.
Good knowledge of AWS AI infrastructure.
Culture & Benefits
Hybrid working model with flexibility over where and when to work for the rest of the week; work abroad is permitted for up to 3 months per year.
25 days of annual leave, local public holidays, enhanced parental leave, and flexible working arrangements.
Private medical insurance, paid sick leave with income protection, group life assurance, pension contributions with hirify.global matching up to 7%, and season ticket and cycle-to-work schemes.
Professional learning and development budget plus an AI experimentation budget of £800 per UK employee.
Quarterly team socials, summer and winter company events, and a paid one-month sabbatical after 5 years of service.
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