Lead AI Engineer

🔥 19 hours ago

🇪🇸 Spain – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 16%

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Logo of Finom

Finom

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

• Design, build, and operate AI systems solving business problems across Finom • Move AI solutions from prototype to production, including solution shaping, implementation, quality measurement, and ongoing improvement • Lead a team of AI engineers by setting direction, reviewing designs, pairing, and providing design guidance • Own architecture and document decisions, tradeoffs, and rejected alternatives • Build and ship AI-powered customer and internal solutions using LLMs, RAG, tool calling, workflows, and agentic patterns • Own AI systems end to end: problem framing, implementation, evaluation, deployment, monitoring, and iteration • Develop scalable, reliable inference pipelines with attention to latency, cost, security, and observability • Establish evaluation and quality standards, including offline evaluations, online signals, failure analysis, and improvement loops • Design for auditability, model governance, and EU AI Act obligations • Drive AI platform and tooling decisions to improve reuse, speed, and consistency • Partner with solution managers, domain teams, and engineers to integrate AI into real workflows • Shape product roadmaps, negotiate scope and sequencing, and stop unsupported approaches • Work on onboarding, customer support, AI accounting, fraud and risk, document understanding, internal automation, and agentic systems

🎯 Requirements

• Proven experience leading a team of engineers, formally or as a tech lead, with responsibility for team delivery • Track record owning the technical direction of a system used by other teams • Experience influencing product or business decisions through technical argument • Experience working directly with non-technical stakeholders on commitments and tradeoffs • Experience growing engineers through review, mentoring, or design guidance • Strong ownership mindset and ability to create clarity in ambiguity • 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 evaluation, monitoring, and continuous improvement loops • Experience with cloud infrastructure and containerized deployments • Strong grasp of the fast-moving AI landscape • Fluent English (C1) • Nice-to-have: fintech, financial services, risk, compliance, or operations-heavy experience • Nice-to-have: applied ML beyond LLMs, vector databases, benchmarking, experimentation, startup/founder, or open-source experience • Technologies may include Python, SQL, NoSQL, OpenAI, Anthropic, LangGraph, Hugging Face, Ollama, PyTorch, OpenClaw, Docker, Kubernetes, AWS, GCP, Azure, vector databases, event-driven systems, APIs, and observability tooling

🏖️ Benefits

• Continuous personal and professional development resources and 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 • Work & Swim Program: one month in a corporate apartment in Cyprus

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