Senior AI Engineer

🕒 July 6

🇪🇸 Spain – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 29%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Finom

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2019

💳 Fintech

💸 Finance

🤝 B2B

Fintech • Finance • B2B

Finom is a fintech company offering comprehensive financial services for SMEs, freelancers, and companies. The platform provides tools for invoicing, expense management, and easy online account opening with added benefits like cashback and international IBAN accounts. Finom ensures data security through partnerships with banks like SolarisBank and Treezor, making it a fast and reliable service for business financial management.

📋 Description

• Build and ship AI-powered product and internal solutions using LLMs, RAG, tool calling, workflows, and agentic patterns • Own AI systems end-to-end, including problem framing, architecture, implementation, evaluation, deployment, monitoring, and iteration • Partner with solution managers, domain teams, and engineers to integrate AI into real workflows • Design quality and evaluation frameworks, including offline evaluations, online signals, failure analysis, and continuous improvement loops • Develop scalable and reliable inference pipelines with attention to latency, cost, security, and observability • Work on onboarding, customer care, transaction and document classification, knowledge assistants, fraud detection, and operational automation • Contribute to AI platform and tooling decisions that improve reuse, speed, and consistency • Challenge assumptions, propose better approaches, and help shape the roadmap • Experiment, learn from failures, and turn insights into stronger systems and practices • Deliver at least one significant AI capability into production within the first 6 to 12 months • Generate impact through revenue uplift, cost savings, productivity gains, or risk reduction • Help other teams adopt AI through strong engineering practice and pragmatic guidance

🎯 Requirements

• Proven experience building and deploying AI systems in production • Strong Python and software engineering fundamentals • Hands-on experience with LLM applications, including RAG, tool use, agents, prompt engineering, evals, structured outputs, guardrails, or fine-tuning • Experience integrating AI systems into backend or product workflows • Ability to design meaningful evaluation, monitoring, and continuous improvement loops • Experience with cloud infrastructure and containerized deployments • Strong ownership mindset and ability to work through ambiguity • Experience with new AI models, tools, and agentic patterns, and ability to evaluate production approaches • Strong grasp of the fast-moving AI landscape • Fluent English • Experience in fintech, financial services, risk, compliance, or operations-heavy environments is a plus • Experience with applied ML beyond LLMs is a plus • Experience with vector databases, knowledge systems, and retrieval infrastructure is a plus • Experience with model benchmarking, experimentation frameworks, and cost or latency optimization at scale is a plus • Background in startups or as a founder is a plus • Contributions to open-source or visible AI side projects are a plus

🏖️ Benefits

• Continuous personal and professional development opportunities • Flexibility to travel and work remotely or in a hybrid model across Europe • Stock Options Program available to every team member • Constant support and care • Modern, friendly, and eco-conscious corporate culture • Work & Swim Program: one month in a corporate apartment in Cyprus