Job Title: Senior AI Engineer

Company Name: Finom

Job Details: RemoteFull,Time

Job Url: https://hiring.cafe/viewjob/4o3omf0sua4zgvby

Job Description: Posted 2w agoSenior AI Engineer@ FinomView All JobsWebsiteUnited KingdomRemoteFull TimeResponsibilities:design systems, build production, evaluate performanceRequirements Summary:Proven production AI systems experience; strong Python software engineering; hands-on with LLMs and AI tooling; cloud deployments; English proficiency.Technical Tools Mentioned:Python, SQL, NoSQL, OpenAI, Anthropic, LangGraph, Hugging Face, Ollama, PyTorch, OpenClaw, Docker, Kubernetes, AWS, GCP, Azure, Vector databases, APIs, Observability tooling
About FinomFinom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business.We are looking for a Senior AI Engineer to design, build, and operate AI systems that solve real business problems across Finom.This role is for someone who can move comfortably from prototype to production: shaping the solution, building the system, measuring quality, and improving it over time. You will work on high-impact initiatives across onboarding, customer support, AI accounting, fraud and risk workflows, document understanding, internal automation, and agentic systems used by multiple teams.This is not a pure research role. It is a hands-on engineering role focused on delivering production-grade AI capabilities that create clear value for customers and the business. We are looking for a Senior AI Engineer to design, build, and operate AI systems that solve real business problems across Finom.This role is for someone who can move comfortably from prototype to production: shaping the solution, building the system, measuring quality, and improving it over time. You will work on high-impact initiatives across onboarding, customer support, AI accounting, fraud and risk workflows, document understanding, internal automation, and agentic systems used by multiple teams.This is not a pure research role. It is a hands-on engineering role focused on delivering production-grade AI capabilities that create clear value for customers and the business. We are looking for a Senior AI Engineer to design, build, and operate AI systems that solve real business problems across Finom.This role is for someone who can move comfortably from prototype to production: shaping the solution, building the system, measuring quality, and improving it over time. You will work on high-impact initiatives across onboarding, customer support, AI accounting, fraud and risk workflows, document understanding, internal automation, and agentic systems used by multiple teams.This is not a pure research role. It is a hands-on engineering role focused on delivering production-grade AI capabilities that create clear value for customers and the business. What You Will Be DoingBuild and ship AI-powered product and internal solutions using LLMs, RAG, tool calling, workflows, and agentic patternsOwn AI systems end-to-end: problem framing, architecture, implementation, evaluation, deployment, monitoring, and iterationPartner closely with solution managers, domain teams, and engineers to integrate AI into real workflows rather than isolated demosDesign quality and evaluation frameworks for AI systems, including offline evals, online signals, failure analysis, and continuous improvement loopsDevelop scalable and reliable inference pipelines with strong attention to latency, cost, security, and observabilityWork on use cases such as onboarding, customer care, transaction and document classification, knowledge assistants, fraud detection, and operational automationContribute to AI platform and tooling decisions that improve reuse, speed, and consistency across teamsChallenge assumptions, propose better approaches, and help shape the roadmap rather than only execute ticketsExperiment boldly, learn quickly from failures, and turn insights into stronger systems and better practicesWhat Success Looks LikeIn your first 6 to 12 months, you will:Become fully embedded in the team and business domains you supportDeliver at least one significant AI capability into productionGenerate visible impact through revenue uplift, cost savings, productivity gains, or risk reductionRaise the technical bar for how Finom builds, evaluates, and operates AI systemsHelp other teams adopt AI more effectively through strong engineering practice and pragmatic guidanceWho You AreA strong software engineer with deep Python experience and a track record of shipping production systemsComfortable across the full lifecycle: prompting, retrieval, experimentation, evaluation, deployment, and production supportStrong at turning ambiguous business problems into robust technical solutionsProduct-minded and focused on real user outcomes, not just model outputsAutonomous, pragmatic, and able to keep momentum without heavy supervisionClear in communication and comfortable working across functionsCurious, proactive, low-ego, and biased toward actionSomeone who actively keeps up with the fast-moving AI landscape and can separate hype from what is actually usefulMust-HavesProven experience building and deploying AI systems in productionStrong Python and software engineering fundamentalsHands-on experience with LLM applications, including some of: RAG, tool use, agents, prompt engineering, evals, structured outputs, guardrails, or fine-tuningExperience integrating AI systems into backend or product workflowsAbility to design meaningful evaluation, monitoring, and continuous improvement loopsExperience with cloud infrastructure and containerized deploymentsStrong ownership mindset and ability to work through ambiguityActively experiments with new AI models, tools, and agentic patterns, and can evaluate which approaches are worth productionizingStrong grasp of the fast-moving AI landscape, with the ability to turn relevant advances into practical product and engineering decisionsFluent EnglishNice-to-HavesExperience in fintech, financial services, risk, compliance, or operations-heavy environmentsExperience with applied ML beyond LLMs, such as classification, anomaly detection, ranking, or document intelligenceExperience with vector databases, knowledge systems, and retrieval infrastructureExperience with model benchmarking, experimentation frameworks, and cost or latency optimization at scaleBackground in startups or as a founderContributions to open-source or visible side projects in AIExample Tech StackYou do not need experience with every item, but this role will likely involve technologies such as:Languages: Python, SQL, noSQLLLM / AI: OpenAI, Anthropic, LangGraph, Hugging Face, Ollama, PyTorch, OpenClawPatterns: RAG, tool calling, agent workflows, eval pipelinesInfrastructure: Docker, Kubernetes, AWS / GCP / AzureData / Platform: Vector databases, event-driven systems, APIs, observability toolingWhat You Will Get In ReturnMake a genuine impact on the productJoin our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.Work in the EUEmbark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.Become a stock options holderUnlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.Receive unwavering support and careFinom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.Work & Swim programImmerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.Equal Opportunity Statement At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.