{"id":15451,"url":"https://alion.io/job/9fin-senior-ai-platform-engineer","title":"Senior AI Platform Engineer","company":{"id":4757,"name":"9fin","domain":"9fin.com","url":"https://alion.io/company/9fin","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":79,"open_postings":7,"ghost_share":0,"stale_share":0.857,"repost_share":0,"time_to_fill_p50_days":44,"computed_at":"2026-10-19T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":122000,"max_usd":227000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":38},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Arize Phoenix","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Bedrock AgentCore","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"Hallucination","optional":false},{"name":"Kubernetes","optional":false},{"name":"Langfuse","optional":false},{"name":"LangSmith","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"TypeScript","optional":false},{"name":"CrewAI","optional":true},{"name":"DSPy","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LlamaIndex","optional":true}],"status":"live","first_seen_at":"2026-07-06T13:49:24Z","employer_posted_date":"2026-07-06","last_verified_at":"2026-10-19T06:38:33Z","board_verified":true,"closed_at":null,"days_open":104,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":104},"description":"About 9fin\n9fin is the AI platform powering global debt markets - the world’s largest asset class at over $145 trillion.\nDebt markets are vast, global, and mission-critical, yet still run on fragmented data, PDFs, and manual workflows. 9fin replaces this broken infrastructure with a single platform that centralises proprietary credit data, deep analysis, and high-value workflows across global markets.\nToday, 9fin powers teams at 300+ blue-chip institutions worldwide, including global banks, asset managers, private equity firms, law firms, and advisors. The business is scaling at exceptional speed, with rapid expansion in the US and best-in-class retention driven by deep workflow adoption.\nWe’re at a defining inflection point. With proven product-market fit and strong, global market pull, 9fin is accelerating toward becoming the category-defining platform for debt markets worldwide.\nThe Opportunity\nThe AI Engineering team at 9fin is building the next generation of AI capabilities that will power our products for years to come. We're looking for a Senior AI Platform Engineer to help design, build, and evolve the core AI platform that enables Generative AI, Agentic AI, and machine learning applications across the business.\nThis is an opportunity to join at the beginning of the platform's journey. Rather than inheriting a mature internal platform, you'll help shape its architecture, define engineering standards, and build reusable infrastructure that allows AI teams to move quickly, safely, and at scale.\nWorking alongside backend engineers and AI engineers, you'll create the shared platform services that power everything from intelligent document understanding to autonomous AI agents capable of running scheduled workflows, generating morning briefings, identifying distressed companies, and supporting future AI-powered product experiences.\nEvery day is different, but here's an example of the kind of things you'll work on:\nDesign, build and continuously evolve the enterprise AI platform that powers AI products across 9fin.\n\nDevelop scalable AI services supporting Agentic AI, Retrieval-Augmented Generation (RAG), embeddings, vector search, model serving, and intelligent automation.\n\nBuild orchestration layers that transform structured and unstructured enterprise data into reusable AI capabilities.\n\nDevelop production-ready AI applications using modern LLM frameworks and orchestration tools.\n\nDesign reusable platform components for prompt management, model serving, vector search, embeddings, AI gateways, and evaluation services.\n\nBuild APIs, SDKs, and developer tooling that enable self-service AI development across engineering teams.\n\nDesign secure, scalable deployment pipelines for AI models and applications.\n\nBuild AI observability capabilities including monitoring, tracing, evaluation, cost optimisation, and production quality measurement.\n\nCollaborate closely with AI Engineers, Backend Engineers and Engineering Leadership to define platform architecture and engineering standards.\n\nEstablish engineering best practices around testing, governance, Responsible AI, deployment, and operational excellence.\n\nContinuously evaluate emerging AI technologies and evolve the platform as the ecosystem rapidly advances.\n\nWhat Makes This Role Different\nUnlike many AI Platform roles that focus on maintaining existing infrastructure, this role is centred around building the platform from the ground up.\nYou'll join at an early stage where many architectural decisions have yet to be made, giving you genuine influence over how AI is built, deployed, and operated across 9fin.\nWithin your first six months, you'll help build the platform that powers production AI agents capable of running autonomously in the background-supporting workflows such as scheduled market briefings, distressed company discovery, and future intelligent financial research products.\nRather than owning a single AI product, you'll build the shared capabilities that enable multiple engineering teams to rapidly develop, deploy, and operate AI solutions at scale.\nYou'll be one of a small number of senior engineers helping shape the technical direction of the platform alongside the Engineering Lead and fellow senior engineers.\nAbout You\nThis role will be a great fit if you:\nAI Platform Engineering\nHave 5+ years of software engineering experience, including 2+ years building AI/ML platforms, Generative AI applications, or production machine learning systems.\n\nHave experience designing and deploying enterprise AI applications into production with a strong focus on scalability, reliability, and developer experience.\n\nLLMs & Agentic AI\nHave hands-on experience building applications powered by Large Language Models (LLMs).\n\nHave experience building Model Context Protocol (MCP) and Retrieval-Augmented Generation (RAG) solutions, making use of embeddings, vector databases, and modern LLM orchestration frameworks.\n\nHave experience building or contributing to agentic AI systems, intelligent workflows, or orchestration frameworks.\n\nBackend & Platform Engineering\nAre a strong backend engineer with production experience using Python and/or TypeScript.\n\nHave designed scalable backend services, REST APIs, and event-driven architectures.\n\nHave experience building reusable platform capabilities, internal developer tooling, SDKs, or shared engineering services.\n\nCloud & Infrastructure\nHave strong experience building cloud-native applications.\n\nAre comfortable working with Docker, Kubernetes, CI/CD pipelines, and containerised deployments.\n\nHave experience with solutions such as AWS Bedrock and AgentCore\n\nUnderstand how to deploy, monitor, and operate AI services in production.\n\nAI Operations & Observability\nHave experience implementing monitoring, tracing, evaluation, and cost optimisation for AI systems.\n\nHave experience with observability solutions such as Arize Phoenix, Langfuse, or Langsmith\n\nUnderstand the operational challenges of deploying LLM-powered applications, including latency, reliability, hallucination monitoring, and model quality evaluation.\n\nCollaboration & Technical Leadership\nEnjoy collaborating across multiple engineering disciplines to shape technical direction and establish engineering best practices.\n\nAre comfortable operating as one of a small number of senior engineers, influencing architecture and platform direction without necessarily having formal management responsibilities.\n\nThrive in fast-moving environments where many platform capabilities are still being designed and built.\n\nBonus Points\nExperience with any of the following would be highly advantageous:\nAI gateways and model routing\n\nPrompt management platforms\n\nAI evaluation frameworks\n\nLangGraph, LangChain, LlamaIndex, DSPy, CrewAI or similar orchestration frameworks\n\nVector databases and semantic retrieval\n\nKnowledge graphs or document understanding systems\n\nBuilding internal AI platforms used by multiple engineering teams\n\nBenefits\nWe’re a scaling start up, and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people. We also offer huge amounts of responsibility, an abundance of opportunity for growth and a platform to truly excel.\nFinancial & Insurance\nCompetitive Salary (our salary bands are benchmarked at the top end of the market)\n\nEquity\n\nPension (your minimum contributions are 4% with 9fin matching up to 7%)\n\nPrivate Medical Insurance\n\nPaid sick leave with Income Protection for long periods of illness\n\nGroup Life Assurance\n\nSeason Ticket Loan & Cycle to Work schemes\n\nTime off\n25 holiday days per year\n\nLocal public holidays (with the ability to exchange them for alternative days)\n\nHybrid working model\n\nWork abroad for up to 3 months a year\n\n1 month paid sabbatical after 5 years of service\n\nEnhanced parental leave & flexible working arrangements available\n\nTraining & Culture\nProfessional learning and development budget\n\nAI experimentation budget of £800 (UK) per employee to trial AI tools\n\nQuarterly team socials\n\nSummer and Winter company social events\n\n9fin is a hybrid company, and the office is a regular part of how we work. From January 2027, all employees will work from their designated 9fin office on Tuesdays and Wednesdays. Some teams may be asked to be in the office more often, where the nature of their work calls for it. For the rest of the week, you may work from wherever works best for you and your team.\n9fin is an equal opportunities employer\nAt 9fin we are dedicated to building and promoting a fair and inclusive workplace where everyone can reach their full potential and truly belong. We recognize that building diverse teams enables a more creative and productive environment. If you’re excited about this role but your experience doesn’t perfectly align with the job description, we encourage you to apply anyway. 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