Cluj-Napoca, Romania
Actively hiring, first seen by us 3 days agoDesign and maintain scalable backend services and APIs with Python, Flask and FastAPI
Build production-ready LLM solutions, REST APIs and WebSocket streaming
Build RAG pipelines, vector search and AI agent workflows
Optimize SQL Server and PostgreSQL schemas and queries
Monitor AI model response quality, latency, cost and hallucinations
Design, develop and maintain scalable backend services and APIs using Python, Flask and FastAPI.
Build production-ready AI/LLM solutions, including REST APIs, WebSocket streaming, authentication and integration with external systems.
Build and maintain RAG pipelines, vector search solutions and AI agent workflows using tools such as pgvector, MCP and function calling.
Work with SQL Server and PostgreSQL, optimizing database schemas, queries and data handling processes.
Monitor and evaluate AI model performance, including response quality, latency, cost efficiency and hallucination mitigation.
Strong Python programming skills and hands-on experience with Flask and FastAPI.
Experience with Docker, Kubernetes or containerized application deployments.
Good understanding of software design, debugging, performance optimization and backend development.
Familiarity with CI/CD pipelines and tools such as GitHub Actions.
Solid knowledge of SQL Server and PostgreSQL, including database design, indexing, query optimization and ORM tools such as SQLAlchemy.
30+ days off (including legal days, birthday, public holiday replacements, and benefits options);
Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 3
Early. Similar jobs usually come down between day 4 and day 77.
At Marsh McLennan, jobs usually come down by about day 33.
From 51 similar postings that came down, and 216 of Marsh McLennan’s. Coming down is not always a hire.
56 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Familiarity with CI/CD pipelines and tools such as GitHub Actions. - Basic JavaScript knowledge for application integration or tooling. Why join our team?
We are looking for a motivated Data Science Analyst to join our team and support the development of data-driven solutions, analytics and reporting capabilities. This opportunity is ideal for a professional with experience in Python, data analysis and data processing who is interested in working with diverse datasets, developing analytical solutions and contributing to data science and automation projects. Working closely with technical and business teams, you will help transform complex data into meaningful insights, support data modelling initiatives and contribute to the development of scalable data solutions.
We will count on you to: - Design, develop and maintain scalable backend services and APIs using Python, Flask and FastAPI. - Build production-ready AI/LLM solutions, including REST APIs, WebSocket streaming, authentication and integration with external systems.
What you need to have: - Around 2 years of experience in a corporate IT environment, with exposure to Artificial Intelligence, Machine Learning and Python development. - Strong Python programming skills and hands-on experience with Flask and FastAPI.
- Around 2 years of experience in a corporate IT environment, with exposure to Artificial Intelligence, Machine Learning and Python development. - Strong Python programming skills and hands-on experience with Flask and FastAPI. - Good understanding of software design, debugging, performance optimization and backend development.
- Integrate internal and external data sources, databases and APIs into AI-powered applications. - Work with SQL Server and PostgreSQL, optimizing database schemas, queries and data handling processes. - Apply machine learning and deep learning techniques using frameworks such as TensorFlow, Keras and Scikit-learn.
- Good understanding of software design, debugging, performance optimization and backend development. - Solid knowledge of SQL Server and PostgreSQL, including database design, indexing, query optimization and ORM tools such as SQLAlchemy. - Experience or practical knowledge of Large Language Models (LLMs), AI integrations and related development frameworks.
What makes you stand out: - Experience with Docker, Kubernetes or containerized application deployments. - Familiarity with CI/CD pipelines and tools such as GitHub Actions.
- Work with SQL Server and PostgreSQL, optimizing database schemas, queries and data handling processes. - Apply machine learning and deep learning techniques using frameworks such as TensorFlow, Keras and Scikit-learn. - Monitor and evaluate AI model performance, including response quality, latency, cost efficiency and hallucination mitigation.
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New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
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We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
We are looking for a motivated Data Science Analyst to join our team and support the development of data-driven solutions, analytics and reporting capabilities.
This opportunity is ideal for a professional with experience in Python, data analysis and data processing who is interested in working with diverse datasets, developing analytical solutions and contributing to data science and automation projects.
Working closely with technical and business teams, you will help transform complex data into meaningful insights, support data modelling initiatives and contribute to the development of scalable data solutions.
We will count on you to:
What you need to have:
What makes you stand out:
Why join our team?
Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow us on LinkedIn and X.
Marsh is committed to providing an inclusive work environment. We aim to attract and retain the best, most qualified people and value colleagues of all backgrounds, without regard to age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.
Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.
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Cluj-Napoca, Romania
Marsh is committed to providing an inclusive work environment. We aim to attract and retain the best, most qualified people and value colleagues of all backgrounds, without regard to age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.
No clear work-authorization passage found. Eligibility is unconfirmed.