Mid Full Stack Python/AI Developer
Summary
Joins a new cross-functional team building an AI-driven 'Underwriter OS' for underwriting operations: frontend in React/Next.js, backend in Python/FastAPI, with AI agent orchestration via LangGraph/LangChain, document extraction, and deployment on Azure with CI/CD. Hybrid role in Poland: 3 days in office, 2 remote.
We are looking for a Mid Full Stack Python/AI Developer to join a newly formed cross-functional team focused on transforming underwriting operations with AI and cloud technologies. The person in this role will help design and deliver agent-driven systems and modern applications that support underwriters, working with technologies such as React/Next.js, Python/FastAPI, LangGraph/LangChain and Microsoft Azure services. This hybrid position (3 days in the office / 2 days remote) offers a pioneering opportunity to shape a new operational model through AI-driven automation and product innovation in a public cloud environment.
Responsibilities
- Develop the Underwriter OS application: frontend using Next.js/React and backend using FastAPI/Python.
- Integrate AI agents with the application, extending orchestrators (e.g., LangChain/LangGraph) to coordinate agent execution.
- Connect solutions with core business systems such as policy administration, rating engines, DMS, CRM, broker portal and Outlook.
- Deploy and maintain applications on Azure using containers and CI/CD pipelines.
- Design and orchestrate AI agents by converting underwriting guidelines into instructions for agents.
- Build document-data extraction processes for broker documents and other incoming content.
Qualifications
- At least 2 years of experience in Data Science / AI, including a minimum of 1 year with production deployments.
- Strong skills in React/Next.js and Python/FastAPI.
- Experience with Azure services: Blob Storage, Document Intelligence, Azure AI Foundry / Azure OpenAI.
- Familiarity with LangGraph or similar orchestration tools, prompt engineering and context engineering.
- Proficiency with PostgreSQL and SQL.
- Advanced Python knowledge (pandas, scikit-learn, PyTorch or TensorFlow) and practical MLOps experience (Azure ML, MLflow, Docker, Kubernetes, CI/CD).
- Hands-on experience with Azure cloud platform.
- Awareness of AI governance requirements, including AI Act implications.
- Degree in a technical field (Mathematics, Computer Science, Natural Sciences, Engineering) or equivalent professional experience.
- Strong analytical and conceptual skills with a structured approach to problem solving, and the ability to explain technical topics to non‑technical audiences.
- Proactive attitude and readiness to take responsibility from concept through implementation.
Nice to Have
- Experience with Azure AI Search and Power Platform.
- Relevant Azure certifications (e.g., DP-100, AI-102, AI-900).
- Knowledge of the insurance industry and underwriting processes.
- Experience with integration tools such as Kafka or ESB.
- Hybrid work model: 3 days in the office and 2 days remote each week.
- Unique TEAL culture, relationship- and respect-driven community, non-corporate atmosphere.
- Agile approach and no bureaucracy.
- Outstanding integration trips to various places in Europe.
- Activities to support your well-being and health.
- Luxmed Gold Extended medical care and Multisport Plus benefit.