Top Tech Jobs & Startup Jobs in London

Develop backend services and APIs powering AI and generative AI tools, while improving search performance, scalability, and reliability. Design data flows, integrate ML services, work with Elasticsearch and PostgreSQL, and contribute to architecture, access control, and visualization infrastructure. Lead code reviews, mentor engineers, refactor systems, document solutions, and own projects through delivery while collaborating with product, design, data science, and business teams.

Own strategy and execution for AI-powered products, including conversational AI, agentic workflows, legal document extraction, and covenant analysis. Partner with ML engineers, data scientists, legal experts, and customers to define roadmaps, evaluate probabilistic model outputs, improve data and feedback loops, and ensure accuracy, explainability, and responsible AI practices. Lead an engineering squad while translating technical capabilities into value for financial and legal professionals.

Build and evolve 9fin’s AI platform from the ground up, supporting generative AI, agentic AI, RAG, model serving, embeddings, vector search, and intelligent automation. Develop APIs, SDKs, orchestration layers, deployment pipelines, observability, evaluation, and governance capabilities. Partner with AI and backend engineers to establish scalable architecture, developer tooling, operational standards, and reliable production AI services.

Own the operational engine of 9fin’s Legal Affairs function, including Ironclad CLM, legal intake, playbooks, knowledge management, KPI reporting, outside counsel spend tracking, and legal technology. Partner with the General Counsel on business reviews and cross-functional initiatives such as M&A diligence, trademark management, and regulatory readiness. The role requires building scalable processes, managing projects, improving workflow adoption, and supporting stakeholders across the business.

Deploy 9fin’s AI platform within buy-side investment workflows, including sourcing, underwriting, portfolio monitoring, and relative value analysis. Map client processes, configure AI capabilities, drive user adoption, support champions, monitor usage, and identify expansion opportunities. Translate client feedback into product roadmap input, case studies, workflow evidence, and competitive intelligence. The role requires deep credit investing experience, familiarity with AI-native research tools, strong communication, confidentiality, and cross-functional collaboration.

Backend Engineer responsible for designing systems, developing Python backend services, APIs, data processing, automation, and web application functionality. The role includes technical leadership on projects, code reviews, mentoring, experimentation, refactoring, documentation, and collaboration with product, financial, legal, and editorial teams. The engineer will work primarily with Flask, FastAPI, PostgreSQL, AWS, Lambda, Docker, and ECS.

Lead cross-functional engineering projects from system design through deployment, building backend services, APIs, data processing, automation, and web application functionality. Work across Python, TypeScript, React, AWS, and PostgreSQL while mentoring developers, conducting code reviews, improving developer experience, and collaborating with product, design, clients, and domain experts. Own features through iteration and contribute to AI-enabled financial data and workflow products.

Design and maintain AWS infrastructure, Infrastructure as Code modules, CI/CD pipelines, developer portals, observability practices, and SRE capabilities. The role focuses on improving developer experience, cloud security, release velocity, reliability, and scalable engineering workflows through platform and DevOps solutions.

Owns backend systems across the product platform, leading architecture, scaling, distributed systems initiatives, production migrations, code reviews, and mentorship. Partners with Product, Data, editorial, and legal experts to deliver reliable services. The role requires strong Python, API, SQL, relational modeling, event-driven architecture, observability, and production operations experience, with opportunities to improve developer tooling and modernize legacy systems.