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Location
Hybrid (Cluj-Napoca, Romania)
Seniority
Middle · 3+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Oct 2, 2026.

Overview
Company
Impact
Profile match
Marsh McLennan is a global professional services firm in risk, strategy and people, headquartered in New York and listed on the New York Stock Exchange. It operates through four businesses, Marsh in insurance broking, Guy Carpenter in reinsurance, Mercer in health, wealth and benefits consulting and Oliver Wyman in management consulting, with about 90,000 colleagues in some 130 countries. It hires catastrophe risk analysts, reinsurance brokers, benefits consultants, sales executives, paralegals, software engineers and IT support staff in hubs such as London, Cluj-Napoca and Mexico City.

Company:

Marsh

Description:

The Role

We are seeking a talented Full-Stack Engineer, Generative AI (Mid-Level) to join our technology organization. This role focuses on designing, building, and operating AI-enabled web applications across the full stack, integrating modern frontend and backend frameworks, Large Language Models (LLMs), and cloud-based infrastructure. This role will be based in Cluj and has a requirement of working at least three days a week in the office.

You will work on real-world, enterprise-grade solutions that move from initial proof of concept through to scalable, production-ready systems. The role requires a strong engineering mindset, comfort working in Agile teams, and experience delivering reliable software in cloud environments.

You will build solutions that meet enterprise requirements for security, reliability, scalability, and maintainability. Success in this role means delivering reliable, production-ready AI-enabled solutions that are adopted by internal or external users.

We will count on you to:

· Design, develop, and maintain scalable web applications using React with TypeScript.

· Build robust and high-performance APIs using NestJS / NodeJS or FastAPI / Python.

· Integrate applications with Large Language Model (LLM) APIs and related AI components.

· Embrace an iterative development approach, starting from proofs of concept and evolving solutions into production-ready, scalable applications within enterprise constraints.

· Own the design and implementation of features or services end-to-end, from development through deployment, while collaborating with Tech Leads, Senior engineers and Architects.

· Deploy, operate, and monitor applications on cloud infrastructure (e.g., AWS), following enterprise standards for security and reliability.

· Work with both SQL and NoSQL data stores.

· Collaborate closely with cross-functional teams in an Agile environment, participating in daily stand-ups, sprint planning, and retrospectives.

· Write clean, maintainable, and well-documented code following established engineering best practices.

· Learn from failures, adapt quickly, and clearly communicate lessons learned.

· Maintain a lifelong learning mindset, continuously improving your technical and professional skills.

· Work effectively as part of a distributed (remote/virtual) team.

What you need to have:

· 3 - 4 years of relevant professional software engineering experience in production environments.

· 1 - 2 years of hands-on experience working with Large Language Models (LLMs).

· Proficiency in a modern frontend framework, ideally React with TypeScript (Angular is also acceptable).

· Hands-on experience with NestJS / NodeJS.

· Experience with or working knowledge of FastAPI or Django using Python.

· Strong understanding of RESTful APIs.

· Experience working in Agile delivery teams.

· Exposure to deploying and maintaining cloud-based systems.

· Strong communication skills in English.

What makes you stand out?

· Exposure to applied generative AI techniques in production or near-production systems, including:

· Retrieval-Augmented Generation (RAG)

· Frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, or similar

· Knowledge of AI agents

· Familiarity with prompt engineering techniques

· Additional experience with cloud services (e.g., AWS, Azure)

Why join our team:

  • We help you be your best through professional development opportunities, interesting work, and supportive leaders.
  • We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have an impact for colleagues, clients, and communities.
  • Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.
  • A yearly budget and the opportunity to build your flexible benefits package (up to 20 percent of your annual salary).
  • 30+ days off, including legal days, birthday, public holiday replacements, and benefits options.
  • Performance bonus scheme.
  • Matching charity contributions, charity days off, and the Pay it Forward charity challenge.
  • Core benefits: Pension, Life and Medical Insurance, Meal Vouchers, Travel Insurance.
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 creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of 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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