Design, build, and operate AI systems that solve real business problems across Finom.
Move comfortably from prototype to production: shaping the solution, building the system, measuring quality, and improving it over time.
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.
Deliver production-grade AI capabilities that create clear value for customers and the business.
Requirements
A strong software engineer with deep Python experience and a track record of shipping production systems
Comfortable across the full lifecycle: prompting, retrieval, experimentation, evaluation, deployment, and production support
Strong at turning ambiguous business problems into robust technical solutions
Product-minded and focused on real user outcomes, not just model outputs
Autonomous, pragmatic, and able to keep momentum without heavy supervision
Clear in communication and comfortable working across functions
Curious, proactive, low-ego, and biased toward action
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