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  "job_description": "Senior AI Engineer | LLM | Large Language Models | RAG | Python | PyTorch | London, Hybrid\n\nMission\n\nWe’re a Series A stage company redefining the future of finance with an AI-native research and task automation platform, backed by leading global venture investors. Founded by a team of experts from leading AI labs and global financial institutions, the company provides cutting-edge solutions to help finance professionals unlock unique insights with greater efficiency and accuracy.\n\nWe’re building a well-rounded team with multi-disciplinary expertise across product, AI, finance, UI/UX, and engineering to support our goal of developing AI agents capable of reading, analysing, and integrating disparate sources of financial and market data. Our platform is designed for the distinct demands of institutional investors, with accuracy, reliability, and privacy at the core of the product.\n\nThe Role\n\nAs an AI Engineer, you will:\n• Build scalable multi-modal large-language-model based AI agents\n• Research and develop solutions to applied AI challenges including RAG, semantic search, knowledge representation, function calling, fine-tuning, and reasoning in LLMs\n• Develop evaluations, metrics, and benchmarks for applied AI systems\n• Present innovative solutions through proofs of concept and demos, and convert them into production-ready code\n• Collaborate with engineers, product managers, designers, and other team members to design and build new capabilities\n\nWho You Are\n• A degree in Computer Science or a related field\n• Strong programming experience and familiarity with Python-based deep learning frameworks such as PyTorch, JAX, or TensorFlow\n• Experience writing production-quality code\n• Familiarity with recent developments in large language models and AI agents\n• Knowledge of core machine learning concepts and supporting mathematics including linear algebra, probability, statistics, and multivariate calculus\n• Strong communication and presentation skills (technical discussions, brainstorming, research writing, etc.)\n\nNice to Have\n• Experience in industrial research, such as research internships or previous AI/ML engineering roles\n• Experience in academic research, demonstrated through research projects or publications\n\nYou Will Thrive Here If You\n• Are comfortable being challenged and working in environments with ambiguity and rapid change\n• Enjoy working in a fast-paced, entrepreneurial environment where priorities can evolve quickly\n• Can work autonomously while maintaining strong collaboration\n• Are a clear and effective communicator\n\nWhy Join\n• Impact: Join an early-stage company building one of the most exciting AI platforms in financial services.\n• Exposure: Work closely with senior technical leadership on critical projects.\n• Growth: Be part of a rapidly scaling Series A company with opportunities to expand the scope and responsibility of your role.\n• Team: Work alongside a highly experienced team with backgrounds in leading AI labs and major financial institutions.\n• Culture: A collaborative environment that values intellectual curiosity, constructive debate, and high performance.\n\nBenefits\n\nAs part of a growing cross-functional team, you can expect:\n• 25 days PTO, excluding bank holidays\n• Flexible working, including the ability to work from home two days per week depending on role and team needs\n• Comprehensive healthcare and dental coverage\n\nSenior AI Engineer | LLM | Large Language Models | RAG | Python | PyTorch | London, Hybrid",
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