Full-Stack Engineer, Generative AI

We are seeking a talented Full-Stack Engineer, Generative AI to join our technology organization. This role offers an exciting opportunity to contribute to the design, development, and operation of AI-enabled web applications across the full stack, integrating modern frontend and backend frameworks, Large Language Models (LLMs), and cloud-based infrastructure. You will work within a collaborative, Agile team environment focused on delivering enterprise-grade, production-ready solutions.

Full-Stack Engineer, Generative AI

• Design, develop, and maintain scalable web applications using React with TypeScript.
• Build robust, high-performance APIs with NestJS/NodeJS or FastAPI/Django.
• Integrate applications with LLM APIs and related AI components.
• Evolve proofs of concept into production-ready, enterprise-grade solutions.
• Own end-to-end feature design and implementation, working alongside Tech Leads and Architects.
• Deploy, operate, and monitor applications on cloud platforms such as AWS or Azure, ensuring security, reliability, and scalability.
• Work with both SQL and NoSQL databases to support application needs.
• Collaborate effectively in distributed Agile teams through daily stand-ups, sprint planning, and retrospectives.
• Write clean, maintainable, and well-documented code following best engineering practices.
• Embrace continuous learning and adapt quickly to new challenges.

• 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.

• Experience with applied generative AI techniques such as Retrieval-Augmented Generation (RAG).
• Familiarity with frameworks like LangChain, LlamaIndex, CrewAI, or similar.
• Knowledge of AI agents and prompt engineering techniques.
• Additional cloud services experience (AWS, Azure).

• 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 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.

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 or follow us on LinkedIn and X.

Marsh is committed to embracing 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, Traveller community, or any other characteristic protected by applicable law. We are an equal opportunities employer. We are committed to providing reasonable support to any candidate with a disability/health condition to allow them to fully participate in the recruitment process. We welcome candidates to contact us at to discuss any specific needs.

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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