Full-Stack Engineer, Generative AI @Marsh Tech

Posted 9 Days Ago
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Cluj-Napoca, Cluj, ROU
In-Office
Mid level
Fintech • HR Tech • Insurance • Consulting
The Role
Build and operate enterprise-grade generative AI web applications across the full stack. Develop React and TypeScript frontends, Node.js or Python APIs, LLM integrations, and scalable cloud infrastructure. Own features from proof of concept through deployment, monitoring, and production operation while working with SQL and NoSQL data stores. Collaborate in Agile teams and apply engineering practices focused on security, reliability, maintainability, and scalability.
Summary Generated by Built In
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.

Skills Required

  • 3–4 years of relevant professional software engineering experience in production environments
  • 1–2 years of hands-on experience working with Large Language Models
  • Proficiency in a modern frontend framework, ideally React with TypeScript; Angular is acceptable
  • Hands-on experience with NestJS or Node.js
  • 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
  • Exposure to applied generative AI techniques in production or near-production systems, including RAG, AI frameworks, AI agents, or prompt engineering
  • Additional experience with cloud services such as AWS or Azure

Marsh McLennan Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Marsh McLennan and has not been reviewed or approved by Marsh McLennan.

  • Leave & Time Off Breadth — Leave offerings are described as generous, including sizable PTO, paid holidays, paid sick days, and additional time off such as paid volunteer time and “Summer days.” These time-off benefits are portrayed as a standout part of the overall rewards package.
  • Healthcare Strength — Healthcare coverage is characterized as comprehensive, spanning medical, dental, and vision options, with additional supports like disability and life insurance and access to mental health resources and an EAP. The breadth of plan options is positioned as a core strength of the benefits package.
  • Retirement Support — Retirement benefits are framed as solid, with 401(k) programs and employer matching frequently highlighted alongside other financial programs. Stock purchase options are also referenced as an additional wealth-building component of the total rewards mix.

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The Company
HQ: New York, NY
78,000 Employees
Year Founded: 1871

What We Do

Marsh McLennan (NYSE: MMC) brings together nearly 78,000 experts in risk, strategy, and people across Marsh, Guy Carpenter, Mercer, and Oliver Wyman, serving clients in over 130 countries. Marsh enables enterprise worldwide by helping clients manage risks, transforming uncertainty into opportunity. Guy Carpenter helps clients grow profitably with reinsurance broking expertise, advisory services, and advanced analytics. Mercer helps organizations advance the health, wealth, and careers of their most vital asset — their people. Oliver Wyman’s expertise in strategy, operations, risk, and organization transformation changes what is possible for our clients, their industries, and society. Together, we combine a unique range of capabilities to help our clients solve problems, seize opportunities, and build lasting success in increasingly complex operating environments.

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