2 days ago
Cluj-Napoca, RomaniaMid Level
Responsibilities
- Design, develop, and maintain scalable backend services and APIs using Python, Flask, and FastAPI.
- Build production-ready AI and LLM solutions with WebSocket streaming, authentication, and external-system integrations.
- Develop LLM applications using GPT and open-source models, including prompt engineering and model evaluation.
- Build and maintain RAG pipelines, vector search solutions, and AI agent workflows using pgvector, MCP, and function calling.
- Integrate internal and external data sources, databases, and APIs into AI-powered applications.
- Work with SQL Server and PostgreSQL, including schema optimization, query optimization, and data handling.
- Apply machine learning and deep learning techniques using TensorFlow, Keras, and Scikit-learn.
- Monitor and evaluate AI model performance for response quality, latency, cost efficiency, and hallucination mitigation.
- Participate in code reviews, troubleshooting, documentation, and continuous improvements for code quality, reliability, and security.
Requirements
- Around 2 years of experience in a corporate IT environment with exposure to AI, machine learning, and Python development.
- Strong Python skills and hands-on experience with Flask and FastAPI.
- Understanding of software design, debugging, performance optimization, and backend development.
- Knowledge of SQL Server and PostgreSQL, including database design, indexing, query optimization, and SQLAlchemy.
- Practical experience or knowledge of LLMs, AI integrations, and related development frameworks.
- Understanding of security, privacy, and compliance best practices in software development.
- Strong analytical, problem-solving, communication, independent-working, collaboration, and technical documentation skills.
- Preferred experience with Docker, Kubernetes, containerized deployments, CI/CD tools such as GitHub Actions, and basic JavaScript.
Benefits
- Professional development opportunities, interesting work, supportive leaders, and an inclusive culture.
- Yearly budget and flexible benefits package of up to 20% of annual salary.
- More than 30 days off, including legal days, birthday leave, public holiday replacements, and benefits options.
- Performance bonus scheme.
- Matching charity contributions, charity days off, and the Pay it Forward charity challenge.
- Pension, life and medical insurance, meal vouchers, and travel insurance.
- Hybrid work with remote flexibility and at least three days per week in the local office or onsite with clients; office-based teams have at least one weekly anchor day.
Tech Stack
DockerFastAPIFlaskGitHub ActionsJavaScriptKerasKubernetesMicrosoft SQL ServerPostgreSQLPythonscikit-learnTensorFlow
Categories
About Marsh
Marsh is a global insurance broker and risk advisor that helps businesses, public entities, and individuals assess, transfer, and manage risk through insurance placement, captives, and advisory services. It sells brokerage, risk consulting, and claims management across industries, including cyber and property, and operates in more than 130 countries. Marsh is a business of Marsh McLennan and is headquartered in New York.