4 months ago
London, United KingdomSenior
Responsibilities
- Design, build, and evolve the enterprise AI platform supporting AI products across 9fin.
- Develop scalable services for agentic AI, 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 LLM frameworks and orchestration tools.
- Create reusable components for prompt management, model serving, vector search, embeddings, AI gateways, and evaluation services.
- Build APIs, SDKs, and developer tooling for self-service AI development.
- Design secure deployment pipelines and observability capabilities for AI models and applications.
- Collaborate with AI engineers, backend engineers, and engineering leadership on platform architecture, standards, governance, testing, Responsible AI, and operational excellence.
- Evaluate emerging AI technologies and help shape the platform’s technical direction.
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 scalable, reliable enterprise AI applications into production.
- Hands-on experience building applications powered by large language models and agentic AI systems.
- Experience with Model Context Protocol, RAG, embeddings, vector databases, and modern LLM orchestration frameworks.
- Strong backend engineering experience with Python and/or TypeScript, scalable backend services, REST APIs, and event-driven architectures.
- Experience building reusable platform capabilities, internal developer tooling, SDKs, or shared engineering services.
- Experience with cloud-native applications, Docker, Kubernetes, CI/CD pipelines, and containerized deployments.
- Experience with AWS Bedrock and AgentCore or similar solutions.
- Experience implementing monitoring, tracing, evaluation, and cost optimization for AI systems, including tools such as Arize Phoenix, Langfuse, or LangSmith.
- Understanding of production LLM application challenges including latency, reliability, hallucination monitoring, and model quality evaluation.
- Experience or interest in AI gateways, model routing, prompt management, evaluation frameworks, LangGraph, LangChain, LlamaIndex, DSPy, CrewAI, knowledge graphs, document understanding systems, or internal AI platforms.
Benefits
- Competitive salary, equity, pension with 9fin matching up to 7%, private medical insurance, paid sick leave with income protection, and group life assurance.
- Season ticket loan and Cycle to Work schemes.
- 25 holiday days per year plus local public holidays, with the option to exchange holidays for alternative days.
- Hybrid working with flexibility over where and when to work, and the option to work abroad for up to 3 months per year.
- One month of paid sabbatical after 5 years, enhanced parental leave, and flexible working arrangements.
- Professional learning and development budget, an £800 UK AI experimentation budget, and company social events.
Tech Stack
Categories
About 9fin
9fin builds an AI-driven intelligence platform for the global debt markets, combining real-time news, credit data, and analytics for investment banks, asset managers, advisors, and law firms. It sells subscriptions to tools that centralize deal information, public and private credit data, and workflows across leveraged finance, structured credit, and distressed debt. Founded in 2016 and headquartered in London, the privately held company reports adoption by 300+ financial institutions worldwide.