Senior AI Engineer — Production‑Grade AI, Remote in Europe

DutchTech; Barcelona; Remote; EUR 110,000 - 160,000; Full time

Benefits offered by this job

Stock options

Remote/hybrid across Europe

Job summary

Finom is seeking a Senior AI Engineer to design, build, and operate production-grade AI systems across onboarding, support, fraud and risk workflows, and document understanding. You will move from prototype to production, shaping solutions, measuring quality, and continuously improving them with end-to-end ownership.

Seeking strong Python skills, production AI experience, and the ability to work with LLMs, RAG, tools, and agent patterns.

Qualifications

• 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 ownership mindset and ability to work through ambiguity.
• Actively experiments with new AI models, tools, and agentic patterns, and can evaluate which approaches are worth productionizing.
• Strong grasp of the fast-moving AI landscape, with the ability to turn relevant advances into practical product and engineering decisions.
• Fluent English.

Responsibilities

• Build and ship AI-powered product and internal solutions using LLMs, RAG, tool calling, workflows, and agentic patterns
• Own AI systems end-to-end: problem framing, architecture, implementation, evaluation, deployment, monitoring, and iteration
• Partner closely with solution managers, domain teams, and engineers to integrate AI into real workflows rather than isolated demos
• Design quality and evaluation frameworks for AI systems, including offline evals, online signals, failure analysis, and continuous improvement loops
• Develop scalable and reliable inference pipelines with strong attention to latency, cost, security, and observability
• Work on use cases such as 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 across teams
• Challenge assumptions, propose better approaches, and help shape the roadmap rather than only execute tickets
• Experiment boldly, learn quickly from failures, and turn insights into stronger systems and better practices

Skills

Python

LLM applications

RAG

Tool use

Agents

Prompt engineering

Eval pipelines

Production deployment

Cloud infrastructure

Docker

Kubernetes

AWS

GCP

Azure

English fluency

Tools

OpenAI

Anthropic

LangGraph

Hugging Face

Ollama

PyTorch

OpenClaw

Docker

Kubernetes

AWS

GCP

Azure

Job description

Finom is seeking a Senior AI Engineer to design, build, and operate production-grade AI systems across onboarding, support, fraud and risk workflows, and document understanding. You will move from prototype to production, shaping solutions, measuring quality, and continuously improving them with end-to-end ownership.

Seeking strong Python skills, production AI experience, and the ability to work with LLMs, RAG, tools, and agent patterns.