The Role
Design and implement AI-powered solutions for document extraction and financial reasoning, focusing on ML pipelines and application of LLMs.
Summary Generated by Built In
Arvexi (https://arvexi.com) is building AI that handles the work accountants shouldn't be doing manually. We're looking for an AI/ML Engineer to push the boundaries of what's possible in document intelligence and financial reasoning.
What you'll build:
- AI-powered document extraction pipeline that converts lease PDFs into structured financial data
- Financial reasoning engine for ASC 842, IFRS 16, and GASB 87/96 lease accounting standards
- Agentic AI workflows with 40+ tools, compute sandbox, and multi-turn reasoning
- Prompt engineering and evaluation pipelines for production Claude API integration
- Confidence scoring and quality assurance systems for extracted data
What we're looking for:
- 3+ years of experience in ML/AI engineering or applied AI
- Deep experience with LLMs (prompt engineering, structured output, tool use, evaluation)
- Strong Python or TypeScript skills
- Experience building production ML pipelines (not just notebooks)
- Understanding of document processing, OCR, or information extraction
Nice to have:
- Experience with Claude API or Anthropic's tool use patterns
- Background in fintech, accounting, or financial document processing
- Experience with RAG systems, embedding models, or vector databases
Tech stack: Claude API (Anthropic), TypeScript, Next.js 16, Prisma 7, Supabase PostgreSQL, pgBoss queues
About Arvexi: AI-powered lease accounting platform for ASC 842, IFRS 16, and GASB 87/96. Founded by ex-OpenAI and Google DeepMind engineers. Remote-first. Early stage, big ambition.
Learn more at https://arvexi.com
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
