Senior AI Engineer (Remote)
hace 2 días
Barcelona
ppbAbout Finom /b /p pFinom 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. /p pWe 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. /p pFinom’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 such as Germany, France, the Netherlands, Italy, and Spain. /p pAt 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. /p pbSenior AI Engineer /b /p pThis 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. /p pThis 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. /p h3What You Will Be Doing /h3 ul liBuild and ship AI‑powered product and internal solutions using LLMs, RAG, tool calling, workflows, and agentic patterns /li liOwn AI systems end‑to‑end: problem framing, architecture, implementation, evaluation, deployment, monitoring, and iteration /li liPartner closely with solution managers, domain teams, and engineers to integrate AI into real workflows rather than isolated demos /li liDesign quality and evaluation frameworks for AI systems, including offline evals, online signals, failure analysis, and continuous improvement loops /li liDevelop scalable and reliable inference pipelines with strong attention to latency, cost, security, and observability /li liWork on use cases such as onboarding, customer care, transaction and document classification, knowledge assistants, fraud detection, and operational automation /li liContribute to AI platform and tooling decisions that improve reuse, speed, and consistency across teams /li liChallenge assumptions, propose better approaches, and help shape the roadmap rather than only execute tickets /li liExperiment boldly, learn quickly from failures, and turn insights into stronger systems and better practices /li /ul h3What Success Looks Like /h3 ul liBecome fully embedded in the team and business domains you support /li liDeliver at least one significant AI capability into production /li liGenerate visible impact through revenue uplift, cost savings, productivity gains, or risk reduction /li liRaise the technical bar for how Finom builds, evaluates, and operates AI systems /li liHelp other teams adopt AI more effectively through strong engineering practice and pragmatic guidance /li /ul h3Who You Are /h3 ul liA strong software engineer with deep Python experience and a track record of shipping production systems /li liComfortable across the full lifecycle: prompting, retrieval, experimentation, evaluation, deployment, and production support /li liStrong at turning ambiguous business problems into robust technical solutions /li liProduct‑minded and focused on real user outcomes, not just model outputs /li liAutonomous, pragmatic, and able to keep momentum without heavy supervision /li liClear in communication and comfortable working across functions /li liCurious, proactive, low‑ego, and biased toward action /li liSomeone who actively keeps up with the fast‑moving AI landscape and can separate hype from what is actually useful /li /ul h3Must‑Haves /h3 ul liProven experience building and deploying AI systems in production /li liStrong Python and software engineering fundamentals /li liHands‑on experience with LLM applications, including some of: RAG, tool use, agents, prompt engineering, evals, structured outputs, guardrails, or fine‑tuning /li liExperience integrating AI systems into backend or product workflows /li liAbility to design meaningful evaluation, monitoring, and continuous improvement loops /li liExperience with cloud infrastructure and containerized deployments /li liStrong ownership mindset and ability to work through ambiguity /li liActively experiments with new AI models, tools, and agentic patterns, and can evaluate which approaches are worth productionizing /li liStrong grasp of the fast‑moving AI landscape, with the ability to turn relevant advances into practical product and engineering decisions /li liFluent English /li /ul h3Nice‑to‑Haves /h3 ul liExperience in fintech, financial services, risk, compliance, or operations‑heavy environments /li liExperience with applied ML beyond LLMs, such as classification, anomaly detection, ranking, or document intelligence /li liExperience with vector databases, knowledge systems, and retrieval infrastructure /li liExperience with model benchmarking, experimentation frameworks, and cost or latency optimization at scale /li liBackground in startups or as a founder /li liContributions to open‑source or visible side projects in AI /li /ul h3Example Tech Stack /h3 ul liLanguages: Python, SQL, noSQL /li liLLM / AI: OpenAI, Anthropic, LangGraph, Hugging Face, Ollama, PyTorch, OpenClaw /li liPatterns: RAG, tool calling, agent workflows, eval pipelines /li liInfrastructure: Docker, Kubernetes, AWS / GCP / Azure /li liData / Platform: Vector databases, event‑driven systems, APIs, observability tooling /li /ul h3What You Will Get In Return /h3 pMake a genuine impact on the product. Join our upward trajectory, and grow with us. We provide resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product. /p pWork in the EU: enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe. /p pBecome a stock options holder: unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This opportunity is available to every team member, from junior team members to our founders. /p pReceive unwavering support and care: Finom stands by you at every step, embodying our commitment to your well‑being and success reflected in modern, friendly, and eco‑conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling. /p pWork Swim program: immerse yourself in our exclusive Work Swim Program. Spend one month in a comfortable corporate apartment in Cyprus. It's the ideal opportunity to strike the perfect work‑life balance while enjoying breathtaking Mediterranean views. /p h3Equal Opportunity Statement /h3 pAt 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. /p pWe 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 judgement. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. /p /p #J-18808-Ljbffr