Company:

Oliver Wyman

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.

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.

Nice to have:

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

• Opportunities for professional growth, learning, and development

• Interesting, high-impact work on enterprise AI solutions

• A collaborative and inclusive culture with talented colleagues

• The scale and stability of a global organization combined with modern engineering practices

• Competitive compensation and benefits aligned with local market practices

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 $24 billion and more than 90,000 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 embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, 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.