Full-Stack Engineer, Generative AI
Marsh & McLennan
Full-Stack Engineer, Generative AI
Marsh & McLennan
Brokers insurance and runs risk and HR consulting
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:
Brokers insurance and runs risk and HR consulting
Marsh & McLennan Companies, which operates under the Marsh brand, is an insurance broker and consulting group serving businesses, governments and institutions worldwide. Its Marsh Risk unit arranges property, casualty, cyber and employee-benefit coverage, while Guy Carpenter places reinsurance for insurers. Mercer advises employers on pay, benefits, retirement and investments, and Oliver Wyman, Lippincott and NERA handle strategy, brand and economic consulting. Brokers earn commissions and fees from placing coverage, and consultants bill client fees or charge fees based on assets or plan members. The company traces its roots to 1871 and is headquartered in New York City.
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