Salary
≈ $53k – $131k per year (Estimated)
Location
Remote (Lithuania)
Seniority
Senior · 3+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Financial solutions for entrepreneurs, self- employed and freelancers, combining digital business account benefits with multiple services
You'll join the AI Team - the group driving all AI products and technology at Finom. We build and ship AI across the company: AI financial co-pilot, voice agent, and internal AI-powered processes. Our belief: your AI agent is only as good as your eval loop - we can build AI as good as the evals we run on it. Your mission: own that eval loop across every AI product we ship - pre-launch quality gates, post-launch monitoring, continuous improvement. Close collaboration with AI engineers, Product, and domain experts across the company. Core stack: Databricks, DeepEval, Claude Code
What You Will Be Doing
- Own and extend our offline eval suite across products - datasets (capability + regression), judges, metrics
- Build and maintain online quality dashboards: resolution rate, CSAT, thumbs up/down, LLM-as-judge signals, error rate, latency
- Close the production feedback loop: mine failure patterns from real traffic → turn them into regression cases → propose fixes to Product and domain experts
- Harden methodology: judge stability, non-determinism handling
- Translate numbers into decisions - weekly syncs, clear trade-offs, no dashboards for their own sake
Must-Haves
- Python and SQL - you can build an analysis end-to-end
- Solid foundation in statistics - sampling, hypothesis testing, variance, understanding what a noisy metric is
- Analytical mindset - you start from the business question, not from the tool
- 3+ years in analyst / data scientist roles, at least one in a product context
Nice-to-Haves
- Experience in quality analytics for ML systems - ranking, recommendations, classification, etc.
- Hands-on experience evaluating LLM applications (RAG, agents, tool use, judges)
- Experience building LLM agents - side projects, toy builds, personal experiments all count
How we work - one thing we mean seriously
- AI-assisted coding is our default authoring environment, not a bonus
- Claude Code is our main tool - you'll reach for it for SQL, Python, analyses, dashboards, and internal scripts
- We're looking for analysts who are already curious and fluent with AI coding - or genuinely excited to become fluent fast
- We care about what you ship and how clearly you think
- If this idea excites you rather than worries you, you'll feel at home here
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