Senior AI Platform Engineer
LondonFull-timePosted 3mo ago
About the role
Senior AI Platform Engineer at 9fin responsible for designing, building, and evolving the core AI platform to support Generative AI, Agentic AI, and ML applications across the business. Early-stage platform building with significant influence on architecture, standards, and reusable infrastructure.
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.
Qualifications
- Have 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 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 engineer with production experience using Python and/or TypeScript.
- Designed 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.
- Proficiency with Docker, Kubernetes, CI/CD pipelines, and containerised deployments.
- Experience with AWS Bedrock and AgentCore.
- Understanding of deploying, monitoring, and operating AI services in production.
- Experience implementing monitoring, tracing, evaluation, and cost optimisation for AI systems.
- Experience with observability tools such as Arize Phoenix, Langfuse, or Langsmith.
- Understanding operational challenges of deploying LLM-powered applications (latency, reliability, hallucination monitoring, model quality evaluation).
- Ability to collaborate across engineering disciplines and influence architecture and platform direction without formal management responsibilities.
- Thrives in fast-moving environments where platform capabilities are still being designed and built.
Skills
Required:Software EngineeringAI/ML Platform DevelopmentLLMsRAG and MCPBackend EngineeringCloud & InfraObservability
Benefits
- Competitive Salary (top end of market)
- Equity
- Pension with 4% minimum employee contributions and 7% company match
- Private Medical Insurance
- Paid sick leave with Income Protection
- Group Life Assurance
- Season Ticket Loan & Cycle to Work schemes
- 25 holiday days per year
- Local public holidays with exchange option
- Work abroad up to 3 months per year
- 1 month paid sabbatical after 5 years
- Enhanced parental leave & flexible working arrangements
- Professional learning and development budget
- AI experimentation budget of £800 per employee (UK) per year
- Quarterly team socials
- Summer and Winter company events
- Hybrid policy with designated office days (Tuesdays and Wednesdays) from Jan 2027
Last updated Oct 21, 2026. Interested? Apply on the company site.
About 9fin
Faster, smarter, debt market intelligence
9fin is a leading provider of debt market intelligence and offers everything you need to analyse a credit, or win a mandate in one AI-powered platform
Debt Market IntelligenceDataAnalyticsCredit AnalysisFinancial Data
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