Senior AI Engineer

Join Finom as a Senior AI Engineer, where you will design, build, and operate AI systems that address real business challenges. This hands-on engineering role focuses on delivering production-grade AI capabilities that create clear value for customers and the business. You will work on high-impact initiatives across various domains, including onboarding, customer support, AI accounting, fraud detection, and internal automation.

• Design, build, and operate AI systems that solve real business problems across Finom, focusing on high-impact initiatives.
• Own AI systems end-to-end, including problem framing, architecture, implementation, evaluation, deployment, monitoring, and iteration.
• Partner closely with solution managers, domain teams, and engineers to integrate AI into real workflows, ensuring production-grade AI capabilities.
• This role is for someone who can move comfortably from prototype to production: shaping the solution, building the system, measuring quality, and improving it over time
• Strong Python and software engineering fundamentals
• Strong at turning ambiguous business problems into robust technical solutions
• Hands-on experience with LLM applications, including some of: RAG, tool use, agents, prompt engineering, evals, structured outputs, guardrails, or fine-tuning
• Ability to design meaningful evaluation, monitoring, and continuous improvement loops
• Curious, proactive, low-ego, and biased toward action
• Autonomous, pragmatic, and able to keep momentum without heavy supervision
• Product-minded and focused on real user outcomes, not just model outputs
• Strong grasp of the fast-moving AI landscape, with the ability to turn relevant advances into practical product and engineering decisions
• Strong ownership mindset and ability to work through ambiguity
• Proven experience building and deploying AI systems in production
• Experience with cloud infrastructure and containerized deployments
• Comfortable across the full lifecycle: prompting, retrieval, experimentation, evaluation, deployment, and production support
• Actively experiments with new AI models, tools, and agentic patterns, and can evaluate which approaches are worth productionizing
• Clear in communication and comfortable working across functions
• Someone who actively keeps up with the fast-moving AI landscape and can separate hype from what is actually useful
• Experience integrating AI systems into backend or product workflows
• Fluent English
• A strong software engineer with deep Python experience and a track record of shipping production systems
• 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