Full-Stack AI Engineer

About The Company This organization is an AI-native workspace initially designed for investment banking, private equity, consultancies, and asset managers. This organization has already raised double figures from prominent investors and top-tier venture firms. With strong product-market fit and live production deployments at some of the world's largest and most prestigious institutions, the team is working around the clock across offices in New York, London, and Hong Kong to become the leading AI application platform for enterprise. London’s AI workflow automation platform for financial services recently announced a €65 million ($75 million) Series A financing in order to accelerate its global expansion and deepen its AI workflow-automation capabilities. Research, Analysis and Execution - This organization connects to clients' entire digital universe—files, folders, emails, meetings, data vendors, company filings, internal databases, and more. It finds what matters, reasons through complexity, and delivers polished outputs—faster than ever before. About The Role Seeking a Full-Stack Engineer with 5+ years experience in React/Next.js, Python, and AI systems to design and deploy AI agent infrastructure and features at scale. The client is seeking seeking a highly skilled Full-Stack AI Engineer with at least 5 years of professional experience. The ideal candidate has a strong background in building modern web applications, has experience in React/Next.js, experienced with backend development (Python preferred), and has hands-on exposure to infrastructure, DevOps, and AI system development. This role will own and drive large portions of AI agent infrastructure, from designing and deploying multi-agent systems to integrating Retrieval-Augmented Generation (RAG) pipelines, model fine-tuning, and evaluation frameworks. Responsible for delivering AI-powered features into production at scale — ensuring they are performant, reliable, and secure — while also contributing across the stack, from frontend interfaces to backend APIs, databases, and deployment pipelines. Key Responsibilities • Design, develop, and maintain frontend applications using React and Next.js. • Build, test, and deploy backend services and APIs (Python/Django/FastAPI preferred, but other languages/frameworks welcome). • Collaborate with founders, growth team, designers, and other engineers to deliver high-impact features. • Ensure scalability, performance, and security across the stack. • Implement CI/CD pipelines, automated testing, and monitoring solutions. • Contribute to infrastructure planning, deployment, and optimization in cloud environments (AWS, GCP, or Azure). • Develop and deploy AI-powered features in production, including RAG (Retrieval-Augmented Generation) systems, multi-agent infrastructure, and evaluation frameworks (Evals). • Build real-world AI use cases by integrating fine-tuned models and large language model APIs into user-facing products. • Create data pipelines for AI model training, evaluation, and continuous improvement. • Mentor junior developers and promote engineering best practices. Requirements • 5+ years of professional software engineering experience • Proven experience with React and Next.js in production environments • Strong backend development skills (Python preferred) • Solid understanding of relational and/or NoSQL databases • Experience with Git and collaborative development workflows • Knowledge of cloud infrastructure, containerization (Docker, Kubernetes), and CI/CD pipelines • Experience implementing background workers and task queues (Celery, RQ, etc.) • Proficiency with Redis for caching, pub/sub, or job queues • Hands-on experience building and deploying AI applications in production environments • Experience implementing RAG pipelines, AI agent orchestration, model fine-tuning, and performance monitoring • Familiarity with LLM evaluation techniques and tools for measuring model accuracy, reliability, and safety Required Skills • React • Next.js • Python • Django • FastAPI • AWS • GCP • Azure • Docker • Kubernetes • CI/CD pipelines • Redis • Celery • RQ • AI system development • DevOps • Frontend development • Backend development • Infrastructure planning • Cloud environments • AI-powered features • RAG (Retrieval-Augmented Generation) systems • Multi-agent infrastructure • Model fine-tuning • Evaluation frameworks • Data pipelines • Mentoring • Problem-solving Benefits • Reporting directly to the founders • Competitive salary £100 - 200 K GBP + equity • Performance-based incentives • Opportunity to be instrumental in our expansion into the APAC market • Supportive and innovative work environment Team members • two well-known founders • growth team • designers • other engineers Salary: 100000 - 200000 GBP Equity: equity