Barcelona•Warsaw•Belgrade•Berlin•Bulgaria•Cyprus•Estonia•Greece•Hungary•Latvia
Remote
Senior
Full Time
remoteleadershipAIPythonLLMfintechcloudKubernetesDocker
Requirements
- •Proven experience leading a team of engineers, formally or as a tech lead, with responsibility for what the team delivered
- •Track record of owning the technical direction of a system used by teams other than your own
- •Experience changing a product or business decision through technical argument rather than escalation
- •Experience working directly with non-technical stakeholders on commitments and tradeoffs, not through a manager as intermediary
- •Experience growing other engineers through review, mentoring, or design guidance
- •Strong ownership mindset and the ability to create clarity in genuine ambiguity
- •Proven experience building and deploying AI systems in production
- •Strong Python and software engineering fundamentals
- •Hands-on experience with LLM applications, including some of: 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 grasp of the fast-moving AI landscape, with the ability to turn relevant advances into practical product and engineering decisions
- •Fluent English (C1)
What You'll Do
- •Lead a team of AI engineers — set direction, review designs, and grow their technical scope through review, pairing, and design guidance
- •Own 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 challenged
- •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 and reliable inference pipelines with strong attention to latency, cost, security, and observability
- •Set the evaluation and quality bar — offline evals, online signals, failure analysis, and continuous improvement loops that other teams adopt rather than renegotiate per project
- •Design AI systems with auditability, model governance, and EU AI Act obligations built in from the start rather than retrofitted
- •Drive AI platform and tooling decisions that improve reuse, speed, and consistency across teams
- •Partner with solution managers, domain teams, and engineers to integrate AI into real workflows rather than isolated demos
- •Tell a product stakeholder when the thing they asked for is the wrong solution, and be persuasive about the right one
- •Negotiate scope and sequencing with domain teams that have their own roadmaps and no obligation to yours
- •Decide what to stop doing — deprecate, simplify, or kill approaches that the evidence no longer supports
- •Shape the roadmap rather than only execute tickets
Nice to Have
- •Experience in fintech, financial services, risk, compliance, or operations-heavy environments
- •Experience with applied ML beyond LLMs, such as classification, anomaly detection, ranking, or document intelligence
- •Experience with vector databases, knowledge systems, and retrieval infrastructure
- •Experience with model benchmarking, experimentation frameworks, and cost or latency optimization at scale
- •Background in startups or as a founder
- •Contributions to open-source or visible side projects in AI
Benefits
- •Make a genuine impact on the product
- •Work in the EU with flexibility of traveling and working remotely or in a hybrid model across Europe
- •Become a stock options holder through Stock Options Program
- •Receive unwavering support and care in a modern, friendly, and eco-conscious corporate culture
- •Work & Swim program: spend one month in a corporate apartment in Cyprus for work-life balance
About Finom
Finom provides an online payment solution that integrates business accounts, invoicing, and accounting.
Amsterdam, Netherlands
500 - 1000
Finance