Senior AI Product Engineer

About 9fin 9fin is the AI platform powering global debt markets — the world’s largest asset class at over $145 trillion. Debt 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. Today, 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. We’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. THE OPPORTUNITY The 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. This 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. Working 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. Every day is different, but here's an example of the kind of things you'll work on: * 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. WHAT MAKES THIS ROLE DIFFERENT Unlike many AI Platform roles that focus on maintaining existing infrastructure, this role is centred around building the platform from the ground up. You'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. Within 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. Rather 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. You'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. ABOUT YOU This role will be a great fit if you: AI PLATFORM ENGINEERING * Have 5+ years of software engineering experience, including 2+ years building AI/ML platforms, Generative AI applications, or production machine learning systems. * Have experience designing and deploying enterprise AI applications into production with a strong focus on scalability, reliability, and developer experience. LLMS & AGENTIC AI * Have hands-on experience building applications powered by Large Language Models (LLMs). * Have experience building Model Context Protocol (MCP) and Retrieval-Augmented Generation (RAG) solutions, making use of embeddings, vector databases, and modern LLM orchestration frameworks. * Have experience building or contributing to agentic AI systems, intelligent workflows, or orchestration frameworks. BACKEND & PLATFORM ENGINEERING * Are a strong backend engineer with production experience using Python and/or TypeScript. * Have designed scalable backend services, REST APIs, and event-driven architectures. * Have experience building reusable platform capabilities, internal developer tooling, SDKs, or shared engineering services. CLOUD & INFRASTRUCTURE * Have strong experience building cloud-native applications. * Are comfortable working with Docker, Kubernetes, CI/CD pipelines, and containerised deployments. * Have experience with solutions such as AWS Bedrock and AgentCore * Understand how to deploy, monitor, and operate AI services in production. AI OPERATIONS & OBSERVABILITY * Have experience implementing monitoring, tracing, evaluation, and cost optimisation for AI systems. * Have experience with observability solutions such as Arize Phoenix, Langfuse, or Langsmith * Understand the operational challenges of deploying LLM-powered applications, including latency, reliability, hallucination monitoring, and model quality evaluation. COLLABORATION & TECHNICAL LEADERSHIP * Enjoy collaborating across multiple engineering disciplines to shape technical direction and establish engineering best practices. * Are 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. BONUS POINTS Experience with any of the following would be highly advantageous: * AI gateways and model routing * Prompt management platforms * AI evaluation frameworks * LangGraph, LangChain, LlamaIndex, DSPy, CrewAI or similar orchestration frameworks * Vector databases and semantic retrieval * Knowledge graphs or document understanding systems * Building internal AI platforms used by multiple engineering teams BENEFITS We’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. Financial & Insurance * Competitive Salary (our salary bands are benchmarked at the top end of the market) * Equity * Pension (your minimum contributions are 4% with 9fin matching up to 7%) * Private Medical Insurance * Paid sick leave with Income Protection for long periods of illness * Group Life Assurance  * Season Ticket Loan & Cycle to Work schemes Time off  * 25 holiday days per year * Local public holidays (with the ability to exchange them for alternative days) * Hybrid working model, to allow you the flexibility to decide how, where and when you do your best work * Work abroad for up to 3 months a year * 1 month paid sabbatical after 5 years of service * Enhanced parental leave & flexible working arrangements available Training & Culture  * Professional learning and development budget * AI experimentation budget of £800 (UK) per employee to trial AI tools * Quarterly team socials * Summer and Winter company social events 9fin is an equal opportunities employer At 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. You might just be who we’re looking for — either for this role, or perhaps another.

About us: Causaly is redefining how humans acquire knowledge and develop insights in biomedicine. Our AI-powered platform enables researchers and decision-makers to discover and interpret evidence from millions of scientific publications, clinical trials, regulatory documents, and other complex data sources in minutes. We are building the world’s most advanced biomedical knowledge platform, powered by a high-precision Knowledge Graph and GenAI capabilities. Our technology is already used by leading biopharmaceutical organizations to accelerate drug discovery, improve safety, and drive better decision-making. Backed by top-tier investors including ICONIQ, Index Ventures, Pentech, and Marathon, we are scaling rapidly and expanding our product suite and market presence.  ABOUT THE TEAM We’re hiring AI engineers to help us transform research outcomes in biomedical sciences. We utilise generative AI and agents to help scientists find novel connections and insights from biomedical literature and datasets. Delivering a faster research experience is not just a matter of picking the latest LLM model. Getting accurate, scientifically relevant, trustworthy and meaningful results relies on building trust with our users that comes from integrating proper levels of guardrails, biomedical curation, consistent update cycles and robust deployment practices that make our platform a one-stop shop for a researcher’s needs. We’re looking for AI engineers who will champion this cause and help us apply AI to transform the way biomedical professionals carry out their research and day-to-day exploration. WHAT YOU’LL BE DOING · Design and implement ML/AI solutions end-to-end, from the idea and data exploration phase to deployment and monitoring, balancing cutting-edge techniques with pragmatism to deliver measurable impact. · Apply strong software engineering principles, such as modularity, testing, code reviews, CI/CD and observability, to ensure AI systems are reliable, maintainable, production-ready and can be readily adapted to future developments. · Choose the right approach for the problem at hand, evaluating classical ML and NLP techniques, LLM-based solutions, and agentic solutions to balance trade-offs between speed, cost, complexity, interpretability, and performance. · Collaborate closely with product, design, and other engineering teams to scope work, align on success metrics, and incrementally ship improvements in user-facing features powered by AI. · Document system architectures and decision rationale early and clearly, enabling alignment across teams and accelerating onboarding and iteration. · Champion model and data quality, including dataset versioning, robust evaluation, fairness/bias assessment, and real-world performance tracking. · Mentor junior AI engineers and cross-functional teammates, sharing best practices in modelling, coding, maintaining and integrating product features, and helping grow a high-trust, high-performance team culture. · Stay up-to-date with emerging research and tools, distilling key insights and bringing back relevant innovations to elevate team capabilities and product opportunities. · Contribute to a culture of knowledge sharing, through company-wide Slack channels, Show and Tell presentations and technical deep-dives. WHAT EXPERIENCE YOU’LL NEED TO BE SUCCESSFUL · A master's degree or above in Computer Science, Electrical Engineering or a related field. · 5+ years of experience building AI/ML systems in production environments, including ownership of key lifecycle stages: data collection, modeling, evaluation, deployment, and monitoring. · Proficiency in Python and modern ML and agentic frameworks such as PyTorch, TensorFlow, or LangChain, with experience packaging models into APIs or integrating them into applications. · A solid understanding of LLMs for natural language processing applications, including topics such as embeddings, prompt engineering and fine-tuning. · Strong software engineering foundations such as version control, unit/integration testing, CI/CD, containerization plus a mindset of building for reliability and scale. · Experience working in product-focused teams, collaborating with designers, engineers, and PMs, to scope and ship AI features iteratively · Ability to reason about system behavior end-to-end, including model performance, latency, and observability, and how these impact user experience. · Clear, structured communicator, comfortable documenting and defending architectural decisions and engaging in thoughtful technical debate. NOT REQUIRED, BUT IT’S A PLUS IF YOU ALSO HAVE: · Experience with MLOps/LLMOps frameworks and best practices · A PhD in Computer Science, Electrical Engineering or a related field. · A background or work experience in life-sciences, health-tech, or other data-intensive domains BENEFITS 💰 Competitive compensation package    🩺 Private medical & dental insurance   📔 Life insurance (4 x salary)    🤓 Personal development budget   🧘 Individual wellbeing budget   🌴 25 days holiday plus bank holidays   🥳 Your birthday off!  🚀 Potential to have real impact and accelerated career growth as a member of an international team that's building a transformative AI product.  We are on a mission to accelerate scientific breakthroughs for ALL humankind, and we are proud to be an equal opportunity employer. We welcome applications from all backgrounds and fairly consider qualified candidates without regard to race, ethnic or national origin, gender, gender identity or expression, sexual orientation, disability, neurodiversity, genetics, age, religion or belief, marital/civil partnership status, domestic / family status, veteran status or any other difference.