
Full-Stack Engineer, Gen AI @MarshTech
Company:
Mercer
Description:
We are currently seeking a highly skilled and motivated Full-Stack Engineer, Gen AI to join our Innovation Team. In this role, you will play a vital part in designing, developing, and maintaining state-of-the-art web applications. You will work with a diverse group of talented professionals in a dynamic, start-up-like environment, helping to shape the future of digital solutions. This position will be based in Cluj-Napoca, Romania as a hybrid role that has a requirement of working three days a week in the office.
Marsh has established its EMEA Technology Hub in Cluj, Romania, reflecting our commitment to innovation and excellence. This hub is central to our digital strategy, addressing emerging challenges and enhancing service delivery through advanced technology solutions that empower our clients and promote sustainable growth.
We will count on you to:
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Contribute early to a rapidly evolving field with strong executive backing.
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Experience the excitement of a start-up culture while being backed by a global pioneer in the industry.
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Engage in thrilling initiatives like Hackathons and connect with the broader MMC Tech ecosystem.
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Be part of our strategic tech hub that delivers innovative digital solutions for clients and colleagues alike.
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Embrace a fast-paced, experimental approach with a focus on rapid iteration and a willingness to pivot quickly adopt a proof-of-concept mindset to drive innovation and efficiency.
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Be able to learn from failures, adapt quickly, and effectively communicate the lessons learned.
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Engage effectively with our counterparts in the Dublin and Cluj AI teams.
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Operationalise prototypes developed by the Dublin or local AI teams.
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Ensure seamless handover of operationalised prototypes to business technology teams.
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Thrive as a collaborative developer in an Agile environment.
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Embrace a lifelong learning mindset, continuously seeking opportunities for improvement.
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Establish and maintain best practice development frameworks and standards, such as Prompt Engineering.
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Develop practices and guidelines to improve consistency and reuse of solutions.
What you need to have:
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Excellent communication skills in both English and Romanian.
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Basic understanding of AI concepts and be able to talk about a personal or professional project involving AI, including your approach and the reasoning behind it.
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Minimum 3-4 years of relevant experience.
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Proficiency in a modern frontend framework, ideally React (Vue or Angular are also great).
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Hands-on experience with NestJS / NodeJS or a similar technology stack.
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Experience with or knowledge of Python.
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Strong comprehension of RESTful APIs.
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Knowledge of Large Language Models (LLMs).
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Familiarity with prompt engineering techniques.
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Understanding of Retrieval-Augmented Generation (RAG).
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A creative, problem-solving mindset that drives your work.
What makes you stand out?
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Practical experience with Kubernetes and MongoDB.
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Knowledge of deployments and infrastructure.
Why join our team:
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Work in an environment that empowers individuals to reach their full potential, fostering personal and professional growth
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We help you be your best through professional development opportunities, interesting work, and supportive leaders;
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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;
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Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being;
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A yearly budget and the opportunity to build your flexible benefits package (up to 20% of your annual salary);
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30+ days off (including legal days, birthday, public holiday replacements, and benefits options);
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Performance bonus scheme;
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Matching charity contributions, charity days off, and the Pay it Forward charity challenge;
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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 corporate.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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关于Marsh McLennan

Marsh McLennan
PublicMarsh McLennan is a global professional services firm providing risk management, strategy consulting, and human capital solutions. The company operates through four main businesses: Marsh, Guy Carpenter, Mercer, and Oliver Wyman.
10,001+
员工数
New York
总部位置
$21.3B
企业估值
评价
10条评价
3.7
10条评价
工作生活平衡
3.2
薪酬
2.8
企业文化
4.1
职业发展
2.5
管理层
2.8
65%
推荐率
优点
Supportive management and good work-life balance
Strong company culture and values
Job security and stability
缺点
Below market compensation and pay issues
High workload and overwhelming demands
Limited career advancement opportunities
薪资范围
0个数据点
Junior/L3
Junior/L3 · Business Analyst
0份报告
$25,716
年薪总额
基本工资
-
股票
-
奖金
-
$21,860
$29,572
面试评价
1条评价
难度
1.0
/ 5
面试流程
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Technical Assessment
5
Final Interview
6
Offer
常见问题
Behavioral/STAR
Technical Knowledge
Past Experience
Industry Regulations
Risk Assessment
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