We are looking for a skilled Python Engineer (Mid-Senior) to join our team building intelligent, secure, and scalable AI solutions for the legal sector. You’ll work on agentic workflows, document intelligence, and cloud-native microservices, collaborating with experienced engineers and legal experts to deliver impactful products for notaries and legal professionals.
Important!
This role involves some travel to the Netherlands to collaborate closely with the client, run in-person consulting sessions at the WeAreBrain office in Amsterdam, and occasionally visit the client’s office. Candidates must have the flexibility and ability to travel within Europe.
Our client is a Netherlands-based company building a SaaS platform for notaries. AI-powered workflow automation, document intelligence, and agentic orchestration for the legal sector. Our stack includes Python (FastAPI, PydanticAI, LangChain), OCR/NLP pipelines, React/Tailwind portals, and cloud-native infrastructure (Kubernetes, Docker, GitHub Actions). We focus on privacy, compliance, and practical AI for real-world legal workflows. The solution is hosted in the Netherlands and fully aligned with EU data and security requirements. The project is a long-term partnership with a blended team from both the client and our company, working together as a single product team.
Tech Stack:
— Python 3.9+, FastAPI, Flask, PydanticAI, LangChain
— SQLAlchemy, PostgreSQL, SQLite, MongoDB, Redis, Kafka
— PaddleOCR, Tesseract, custom NLP models
— Docker, Kubernetes, GitHub Actions
— React, Tailwind, Keycloak (frontend)
— Microsoft Graph API, OAuth2/MSAL (integration)
— Implement document intelligence features (OCR, LLM integration)
Responsibilities:
— Develop, test, and maintain Python microservices and agentic AI workflows
— Implement document intelligence features (OCR, NLP, LLM integration)
— Collaborate with frontend, DevOps, and legal teams to deliver seamless solutions
— Write clean, readable, and well-documented code using type hints and Pydantic models
— Participate in code reviews and contribute to continuous improvement
— Ensure system stability, security, and compliance (AVG/GDPR)
— Research and prototype new technologies (LLMs, OCR, cloud-native patterns)
— Support CI/CD, testing, and deployment automation
Qualifications:
— 3+ years of professional Python experience, ideally with microservices or AI/NLP projects
— Experience with FastAPI, Pydantic, SQL/NoSQL databases, and cloud infrastructure
— Familiarity with Docker, Kubernetes, and GitHub Actions
— Understanding of REST APIs, authentication (OAuth2, JWT), and security best practices
— Experience with frontend integration (React, Keycloak) and Microsoft 365 APIs is a plus
— Good communication and collaboration skills; fluent English (B2+)
— Bachelor’s degree in Computer Science, Software Engineering, or related field
— Experience with testing frameworks (Pytest, etc.)
— Familiarity with document automation or ERP integration is a bonus
- 25 vacation days per year
- Public holidays
- 5 fully paid sick leave days per year
- 50% remuneration for additional sick leave days
To apply, please share your CV, a short note on relevant agent and data pipeline projects you've built, and your availability and rate.