Fullstack python developer for underwriting

Ness Solution; Warszawa; On-site; PLN 150,000 - 270,000; Full time

Job summary

Ness Solution приглашает в команду Full Stack Python/AI разработчика для трансформации андеррайтинговых процессов через ИИ и облачные технологии. Вы будете работать над приложением Underwriter OS (Next.js/React frontend, FastAPI/Python backend) и интеграциями с системами, включая LangGraph и агентные оркестрации.

Требуется опыт в Data Science/AI и продакшн-деплой, знание Azure, MLOps и современных инструментов оркестрации. Возможны развитие в смежных областях и участие в конференциях.

Qualifications

• Опыт работы с Data Science/AI: не менее 2 лет, из них 1 год в продакшне.
• Глубокие знания Python (pandas, scikit-learn, PyTorch/TensorFlow) и SQL.
• Хорошее владение React/Next.js и Python/FastAPI.
• Знания Azure Blob Storage, Document Intelligence и AI Foundry.
• Опыт с LangGraph и инструментами оркестрации, prompt/context engineering.
• Знания PostgreSQL. Практический опыт MLOps (Azure ML, MLflow, Docker, Kubernetes, CI/CD).
• Опыт работы с Azure облаком.
• Понимание требований AI Governance и AI Act.
• Степень бакалавра или выше в технической сфере.

Responsibilities

• Разработка Underwriter OS: frontend на Next.js/React и backend на FastAPI/Python.
• Интеграция агентов с приложением (LangChain/LangGraph).
• Интеграция с системами страхования: админ/оценочные движки, DMS, CRM, портал брокеров, Outlook.
• Деплой в Azure с контейнерами и CI/CD.
• Разработка и оркестрация AI-агентов: преобразование руководств в инструкции для агентов.
• Создание процесса извлечения данных из брокерских документов.

Skills

Data Science & AI

Python proficiency

SQL

React/Next.js knowledge

Azure cloud familiarity

MLOps practices

Prompt & context engineering

AI governance awareness

Azure governance

Education

Bachelor's degree in a technical field

Azure certifications: DP-100, AI-102, AI-900

Tools

Python

FastAPI

React

Next.js

Azure Blob Storage

Document Intelligence

LangGraph

PostgreSQL

Docker

Kubernetes

Job description

Описание:

We are looking for a Full Stack Python/AI Developer with production experience delivering agent- and LLM-based systems to join a newly formed cross-functional team responsible for transforming underwriting processes through the use of artificial intelligence and cloud technologies.

Задачи:

• Building the Underwriter OS application: Next.js/React frontend, FastAPI/Python backend
• Integrating agents with the application (e.g. extending the LangChain/LangGraph orchestrator that coordinates agent runs)
• Integrating with the policy administration system, rating engines, DMS, CRM, broker portal, and Outlook
• Deploying to Azure using containers and CI/CD
• Building and orchestrating AI agents: Transforming underwriting guidelines into instructions for AI agents
• Building a process for extracting data from broker documents

Требования:

At least 2 years of experience in Data Science / AI, including at least 1 year of production deployments Proficiency in Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL Good knowledge of React/Next.js and Python/FastAPI Good knowledge of Azure Blob Storage, Document Intelligence, and AI Foundry Good knowledge of LangGraph or similar orchestration tools, prompt engineering, and context engineering Knowledge of PostgreSQL databases Practical experience with MLOps (Azure ML, MLflow, Docker, Kubernetes, CI/CD) Experience with the Azure cloud platform Understanding of AI Governance and AI Act requirements A bachelor's or higher degree in a technical field (Mathematics, Computer Science, Natural Sciences, Engineering) Будет плюсом: Experience with Azure AI Search and Power Platform; Azure certifications: Data Scientist (DP-100), AI Engineer (AI-102), AI Fundamentals (AI-900); Knowledge of the insurance industry and the specifics of its business processes; Experience with integration tools (Kafka, ESB)

Условия:

Work on interesting and rewarding projects The opportunity to influence the choice of technological solutions Development opportunities in full-stack, backend, or systems architecture Collaboration with an experienced and supportive team Training budget and the opportunity to attend conferences Modern tools and a modern working environment A stable form of collaboration and attractive compensation