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.Lead AI EngineerThis is a leadership role from day one. You will set the technical and quality bar, lead a team of AI engineers, and stay hands‑on in the code. You have done this before — we are not looking for someone stepping into technical leadership for the first time.You will build AI services for Finom customers, and internal platform solutions that allow other teams to ship AI capabilities of their own. You take architecture responsibility for the services you and your team develop, along with the alignment that comes with it — translating between business intent and technical reality, and challenging product decisions when they are wrong.This is not a research role. It is a hands‑on engineering leadership role focused on production‑grade AI capabilities that create clear value for customers and the business.What You Will Be DoingLead a team of AI engineers — set direction, review designs, and grow their technical scope through review, pairing, and design guidanceOwn the architecture for the services you and your team develop — and write down the decisions, tradeoffs, and rejected alternatives so they can be reviewed and challengedBuild and ship AI-powered customer and internal solutions using LLMs, RAG, tool calling, workflows, and agentic patternsOwn AI systems end to end — problem framing, implementation, evaluation, deployment, monitoring, and iterationDevelop scalable and reliable inference pipelines with strong attention to latency, cost, security, and observabilitySet the evaluation and quality bar — offline evals, online signals, failure analysis, and continuous improvement loops that other teams adopt rather than renegotiate per projectDesign AI systems with auditability, model governance, and EU AI Act obligations built in from the start rather than retrofittedDrive AI platform and tooling decisions that improve reuse, speed, and consistency across teamsPartner with solution managers, domain teams, and engineers to integrate AI into real workflows rather than isolated demosTell a product stakeholder when the thing they asked for is the wrong solution,



and be persuasive about the right oneNegotiate scope and sequencing with domain teams that have their own roadmaps and no obligation to yoursDecide what to stop doing — deprecate, simplify, or kill approaches that the evidence no longer supportsShape the roadmap rather than only execute ticketsWho You AreA leader who earns authority through technical credibility rather than titleStill an engineer at heart — close enough to the code and the designs to have an opinion worth defendingComfortable being accountable for outcomes you did not personally buildSomeone who has held a technical position against pushback, revised it when the pushback was right, and can tell the differenceDirect with stakeholders and with your team — you surface problems early, including the ones that reflect badly on your own decisionsDecisive under ambiguity: you make the call on incomplete information and revisit it when better information arrivesClear in writing — able to make a technical argument that a non-engineer can follow and act onProduct‑minded and focused on real user outcomes, not just model outputsCurious, low‑ego, and biased toward action; motivated by what the team ships, not only by what you ship yourselfMust‑HavesProven experience leading a team of engineers, formally or as a tech lead, with responsibility for what the team deliveredTrack record of owning the technical direction of a system used by teams other than your ownExperience changing a product or business decision through technical argument rather than escalationExperience working directly with non‑technical stakeholders on commitments and tradeoffs, not through a manager as intermediaryExperience growing other engineers through review, mentoring, or design guidanceStrong ownership mindset and the ability to create clarity in genuine ambiguityProven 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 grasp of the fast‑moving AI landscape, with the ability to turn relevant advances into practical product and engineering decisionsFluent English (C1)Nice‑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 toolingTech StackLanguages: Python, SQL, noSQL,



.NET (optional)LLM / 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 Success Looks LikeIn your first 3 monthsYou have enough context on the team and the business domains it serves to know which problems are worth solvingYou have taken architectural ownership of your team's services, including the decisions you inheritedThe team's priorities are clear and defensible, and you are who product and business stakeholders come to for themYou have identified the biggest constraint on the team's delivery — technical debt, unclear ownership, missing skills, or process — and started removing itBy 6 to 12 monthsYour team has delivered significant AI capabilities to Finom customers, with measurable impact through revenue uplift, cost savings, productivity gains, or risk reductionThe team delivers predictably: commitments you make on its behalf hold, and when they will not, stakeholders hear it from you earlyThe architecture and standards you set are documented, adopted, and used by teams beyond your ownQuality is systemic rather than heroic — failures are caught by evals and monitoring rather than by customers, and the team debugs its own production issuesEngineers on your team have grown measurably in scope, and several can lead significant workstreams without you in themYou shape the AI roadmap together with product and business leadership rather than receiving it, and your “not this way” or “not yet” carries weightWhat 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 adecuado opportunity to strike the perfect work‑life balance while enjoying breathtaking Mediterranean views.Equal Opportunity StatementAt 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.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.#J-18808-Ljbffr

📌 Lead Ai Engineer (Remote) (Valencia)
🏢 Finom
📍 Valencia