Senior AI Platform Engineer

Salary: £55,000 - 95,000 per year

Requirements:

• 5+ years of software engineering experience, including 2+ years building AI/ML platforms, Generative AI applications, or production machine learning systems.
• Experience designing and deploying enterprise AI applications into production with a strong focus on scalability, reliability, and developer experience.
• Hands-on experience building applications powered by Large Language Models (LLMs).
• Experience building Model Context Protocol (MCP) and Retrieval-Augmented Generation (RAG) solutions using embeddings, vector databases, and modern LLM orchestration frameworks.
• Experience building or contributing to agentic AI systems, intelligent workflows, or orchestration frameworks.
• Strong backend engineering experience with Python and/or TypeScript.
• Experience designing scalable backend services, REST APIs, and event-driven architectures.
• Experience building reusable platform capabilities, internal developer tooling, SDKs, or shared engineering services.
• Strong experience building cloud-native applications.
• Comfortable working with Docker, Kubernetes, CI/CD pipelines, and containerised deployments.
• Experience with solutions such as AWS Bedrock and AgentCore.
• Understanding of how to deploy, monitor, and operate AI services in production.
• Experience implementing monitoring, tracing, evaluation, and cost optimisation for AI systems.
• Experience with observability solutions such as Arize Phoenix, Langfuse, or Langsmith.
• Understanding of the operational challenges of deploying LLM-powered applications, including latency, reliability, hallucination monitoring, and model quality evaluation.
• Enjoy collaborating across multiple engineering disciplines to shape technical direction and establish engineering best practices.
• Comfortable operating as one of a small number of senior engineers, influencing architecture and platform direction without necessarily having formal management responsibilities.
• Thrive in fast-moving environments where many platform capabilities are still being designed and built.

Responsibilities:

• Design, build, and continuously evolve the enterprise AI platform that powers AI products across 9fin.
• Develop scalable AI services supporting Agentic AI, Retrieval-Augmented Generation (RAG), embeddings, vector search, model serving, and intelligent automation.
• Build orchestration layers that transform structured and unstructured enterprise data into reusable AI capabilities.
• Develop production-ready AI applications using modern LLM frameworks and orchestration tools.
• Design reusable platform components for prompt management, model serving, vector search, embeddings, AI gateways, and evaluation services.
• Build APIs, SDKs, and developer tooling that enable self-service AI development across engineering teams.
• Design secure, scalable deployment pipelines for AI models and applications.
• Build AI observability capabilities including monitoring, tracing, evaluation, cost optimisation, and production quality measurement.
• Collaborate closely with AI Engineers, Backend Engineers, and Engineering Leadership to define platform architecture and engineering standards.
• Establish engineering best practices around testing, governance, Responsible AI, deployment, and operational excellence.
• Continuously evaluate emerging AI technologies and evolve the platform as the ecosystem rapidly advances.

Technologies:

• Agentic AI
• AI
• AWS
• Backend
• CI/CD
• Cloud
• Docker
• Support
• Kubernetes
• LLM
• Langfuse
• Machine Learning
• MCP
• Model Serving
• Phoenix
• Python
• RAG
• REST
• TypeScript
• AI Agents
• Excel

More:

We are 9fin, the AI platform powering global debt markets. We centralise proprietary credit data, deep analysis, and high-value workflows across global markets, and today we support teams at 300+ blue-chip institutions worldwide, including global banks, asset managers, private equity firms, law firms, and advisors. We are scaling rapidly, with expansion in the US and strong workflow adoption, and we are building the next generation of AI capabilities across our business. This Senior AI Platform Engineer role is based in London, full time, within our Data & AI department. We offer a hybrid working model, the flexibility to work abroad for up to 3 months a year, competitive salary, equity, pension, private medical insurance, paid sick leave, group life assurance, season ticket loan and cycle to work schemes, 25 holiday days plus local public holidays, a one month paid sabbatical after 5 years, enhanced parental leave, a professional learning and development budget, an AI experimentation budget, and team socials and company events. We are an equal opportunities employer and we are committed to building a fair and inclusive workplace.

last updated 36 week of 2026