LLM / GenAI Engineer

Oliver Wyman; Lisboa; Híbrido; EUR 60 000 - 110 000; Tempo integral

Resumo da oferta

Oliver Wyman is building a new hub in Lisbon and seeks an experienced LLM/GenAI Engineer to join the Data Analytics Team. You will design, develop and deploy enterprise Generative AI solutions using Databricks Genie, LLMs, and modern AI frameworks.

This hybrid role requires working in the Lisbon office at least three days per week and entails building scalable AI architectures, RAG pipelines, APIs, and intelligent workflows with a focus on enterprise deployment.

Qualificações

• 3+ years of experience in AI/ML, software engineering, or related roles.
• Strong Python skills and enterprise AI application development.
• Experience with LLM frameworks and AI deployment is required.

Responsabilidades

• Design, develop, and deploy enterprise GenAI/LLM solutions.
• Build scalable architectures and RAG pipelines for AI workflows.
• Develop APIs and AI services to expose LLM capabilities across enterprise apps.

Conhecimentos

Python

LLM/GenAI

AI orchestration

Cross-functional collaboration

Ferramentas

Databricks Genie

LangChain

LlamaIndex

Descrição da oferta de emprego

We are seeking for an experienced LLM / GenAI Engineer to jpin our Data Analytics Team at Mercer.You will be joining us in building Oliver Wyman’s new hub in Lisbon.

This role is focused on designing, developing, and deploying enterprise Generative AI solutions using Databricks Genie, LLMs, and modern AI frameworks. It involves building scalable AI architectures, RAG pipelines, APIs, and intelligent workflows, while optimizing and deploying production-ready AI applications. The ideal candidate has strong Python skills and hands‑on experience with LLMs, prompt engineering, MCP integrations, AI orchestration, and enterprise AI deployment.

This is a hybrid role that has a requirement of working at least three days a week in the office.

We will count on you to

• Develop and optimize enterprise GenAI and LLM solutions using Databricks Genie
• Build scalable frameworks and architectures for LLM applications
• Design and implement RAG (Retrieval-Augmented Generation) pipelines and semantic search solutions
• Develop APIs and AI services to expose LLM capabilities across enterprise applications
• Design and support MCP (Model Context Protocol) integrations to enable AI agents and intelligent workflows
• Integrate structured and unstructured data into AI solutions

What you need to have:

• 3+ years of experience in AI Engineering, Machine Learning Engineering, Software Engineering, or related roles
• Strong hands‑on experience with Python and enterprise AI application development
• Experience working with Databricks Genie, LLM frameworks (LangChain, LlamaIndex, etc.), and Generative AI technologies
• Experience integrating structured and unstructured data into AI workflows

What makes you stand out:

• Strong critical thinking and problem-solving skills with passion for AI innovation
• Deep curiosity about Generative AI, LLMs, intelligent agents, and emerging technologies
• Strong ability to rapidly prototype and develop scalable AI solution and self‑motivated with ability to work independently while collaborating across cross‑functional teams

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 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.

Oliver Wyman is a business of Marsh (NYSE: MRSH), 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, visitoliverwyman.com, or follow us onLinkedInandX.

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.