Backend Engineer (Python)
⚲ Warszawa
20 000 - 27 000 PLN netto (B2B)
Wymagania
- Python
- Django
- Celery
- PostgreSQL
- REST API
- TypeScript
- LLM Integration
Opis stanowiska
Nettle is a VC-backed insurtech building one of the most compelling real-world applications of AI: transforming how commercial insurers assess risk, 5x faster, more consistently and at far greater scale. We work with tier-1 global carriers including Allianz, as well as specialty and regional carriers across Europe and the US. Insurtech of the Year 2025 (Finance Awards) and European Insurtech of the Year 2025 (Guidewire Awards). Founding team from McKinsey and QuantumBlack.
About the role
Risk surveyors collect photos, audio and documents on site; our AI pipelines process that evidence and draft the risk assessment reports that used to take days of manual work. We are live in production with enterprise carriers, and the backend is where all of it happens.
We're hiring a Backend Engineer to build the engine room: the Django APIs, data models and async AI pipelines that turn raw site evidence into finished reports. You'll work directly with our CTO and a small engineering team, shipping to production constantly. No layers, no ticket factory. You own features end to end and see them used by real surveyors within days.
What you'll do
Own backend features end to end: data model, API, production, monitoring. Nothing gets handed off halfway.
Build the AI pipelines at the heart of the product. Evidence processing and report writing run asynchronously through Celery; you'll extend them, harden them and make them faster as volume scales.
Ship LLM-powered features that work in production: prompt design, structured outputs, confidence handling, evaluation.
Keep quality high while moving fast. Tested, reviewable, maintainable code.
Use AI to scale yourself. We use Claude, Cursor and similar tools daily to operate at a level that shouldn't be possible for a team our size.
Must-haves
3+ years of professional backend experience with strong Python
Solid grasp of relational databases and API design; you can model a complex domain cleanly
Experience with async task queues (Celery or similar) in production
Pragmatic and self-directed; you ship things and communicate clearly in English
Nice-to-haves
TypeScript/React for frontend changes when a feature needs it
Experience integrating LLMs or AI models into production systems
Django specifically
How we work
Small team, ships fast, high bar. Fully remote from Poland on a B2B contract, working closely with our London-based team.
Interview process
• Screening (30 min): technical conversation with one of our engineers
• Culture and background (45 min): with our CTO
• Take-home technical assessment (a few hours async + 30 min discussion)
• Paid trial week: work with us on real problems for a week
About the role
Risk surveyors collect photos, audio and documents on site; our AI pipelines process that evidence and draft the risk assessment reports that used to take days of manual work. We are live in production with enterprise carriers, and the backend is where all of it happens.
We're hiring a Backend Engineer to build the engine room: the Django APIs, data models and async AI pipelines that turn raw site evidence into finished reports. You'll work directly with our CTO and a small engineering team, shipping to production constantly. No layers, no ticket factory. You own features end to end and see them used by real surveyors within days.
What you'll do
Own backend features end to end: data model, API, production, monitoring. Nothing gets handed off halfway.
Build the AI pipelines at the heart of the product. Evidence processing and report writing run asynchronously through Celery; you'll extend them, harden them and make them faster as volume scales.
Ship LLM-powered features that work in production: prompt design, structured outputs, confidence handling, evaluation.
Keep quality high while moving fast. Tested, reviewable, maintainable code.
Use AI to scale yourself. We use Claude, Cursor and similar tools daily to operate at a level that shouldn't be possible for a team our size.
Must-haves
3+ years of professional backend experience with strong Python
Solid grasp of relational databases and API design; you can model a complex domain cleanly
Experience with async task queues (Celery or similar) in production
Pragmatic and self-directed; you ship things and communicate clearly in English
Nice-to-haves
TypeScript/React for frontend changes when a feature needs it
Experience integrating LLMs or AI models into production systems
Django specifically
How we work
Small team, ships fast, high bar. Fully remote from Poland on a B2B contract, working closely with our London-based team.
Interview process
• Screening (30 min): technical conversation with one of our engineers
• Culture and background (45 min): with our CTO
• Take-home technical assessment (a few hours async + 30 min discussion)
• Paid trial week: work with us on real problems for a week
🔍 Dekoder Ogłoszenia
✓ Ogłoszenie wygląda transparentnie — brak typowych czerwonych flag.