Most "AI Engineer" roles mean you're building CRUD apps with an OpenAI wrapper.
This isn't one of them.
If you're looking for:
Writing React components and CSS all day → wrong place
A senior engineer to review all your code → wrong place
Clear Jira tickets with detailed specifications → wrong place
Building another SaaS dashboard → wrong place
If you want:
To orchestrate multiple AI agents solving complex problems → keep reading
To build infrastructure that processes financial data at scale → keep reading
To learn AI engineering from founders who've shipped products → keep reading
What We're Building
Northscope automates the finance profession (accounting and controlling) for mid-market industrial companies. We're turning finance departments from cost centers into strategic partners.
The problem: Finance teams spend 85% of their time on manual data crunching instead of strategic work. 40,000 transactions categorized manually every month. 5–10 days just for month-end close. Copy-paste between SAP, Excel, PowerPoint.
We're flipping that to 85% strategic insights, 15% data work.
Why Northscope? Why Now?
Serial Founders:
Florian: 10+ years finance operations (Head of Finance at Blockpit, COO/CFO at 3Folio), built mytalents.ai to 50+ B2B customers (ÖBB, Bitpanda, EY)
Miro: 10+ years data engineering in corporate finance functions, built multiple fintechs (Consola.finance, …)
We've Done This Before:
Raised VC money ✓
Built B2B products customers actually pay for ✓
Secured pre-seed funding for Northscope ✓
We will not stop before huge success
We Know Our Market:
100+ customer discovery calls completed
Working with design partners already
Both founders have lived the pain we're solving
Your Role
The reality:
You're not coding like in the past. You're orchestrating AI agents while building enterprise-grade software.
What you'll build:
Multi-agent orchestration layer (Claude, GPT, specialized finance models)
Integration pipelines with enterprise finance systems (SAP, Dynamics, Excel)
AI workflows for variance analysis, month-end close, financial reporting
Scaling and improving technical architecture and processes (testing, QA, security)
What You Need to Bring
Non-Negotiables:
Experience with LLMs and AI agent frameworks
Strong full-stack engineering (Nextjs \& Python / Go preferred, but we care about thinking, not languages)
Profound security and data governance understanding
Ability to solve complex problems with clean, simple solutions
You've shipped products to production before
Based in Vienna or someday willing to relocate (2-3 days/week in office)
Strong Plus:
Experience with AWS/Azure/GCP and Terraform (or similar)
Experience with finance/ERP systems or complex data integrations
B2B SaaS experience (you understand enterprise requirements)
You've used Claude Code, Cursor, or similar AI coding tools
Interest in finance/accounting (or willingness to learn)
Tech Stack:
AI: Claude, GPT, Gemini
Backend: Python, FastAPI
Orchestration: LangGraph or similar
Infrastructure: Cloud-native, containerized
Integrations: SAP APIs, Microsoft Dynamics, Excel automation
What You'll Get
Compensation:
Minimum salary: €60.000 gross/year, with significant overpayment based on qualifications and experience
Founding team equity package
Higher compensation possible for freelancers (Austria or international)
Learning:
Direct collaboration with Miro (10+ years engineering in finance)
Build AI agent systems from scratch, not maintain legacy code
Work directly with design partners (CFOs, finance teams)
Shape product and technical architecture decisions
Growth:
Founding Engineer \= future VP path
Hire and lead your own engineering team as we scale
Own the entire technical vision
How to Apply
Apply here and we will contact you.