AI Engineer

Cari; København; Hybrid; DKK 786,000 - 1,081,000; Full time

Job summary

Lundbeck seeks an AI Engineer to own the commercial layer that translates predictive output into tools used by the commercial frontline. You will build agentic GenAI applications, design RAG pipelines and create scalable backend and frontend solutions across Python, FastAPI or Django and React/TypeScript.

You will work in Lundbeck's federated AI model, collaborating with Enterprise AI Solutions & Engineering, and ensure production readiness and enterprise security across tools and data.

Qualifications

• Degree in computer science, AI, machine learning or a related quantitative field.
• Several years of software development or ML engineering experience with strong Python and SQL.
• Hands-on experience building GenAI, LLM or AI-enabled applications, including RAG pipelines and LLM integration patterns using LangChain, LangGraph or similar frameworks.

Responsibilities

• Designing and building commercial GenAI applications on enterprise LLM platforms.
• Building commercial agentic AI workflows.
• Developing and optimizing RAG architectures for business and technical use cases.
• Integrating vector databases and semantic search to improve knowledge retrieval accuracy.
• Building AI copilots, assistants and workflow automation.
• Applying prompt engineering, evaluation and tuning to improve response quality, and optimizing model usage cost.

Skills

Python

SQL

GenAI/LLM experience

NLP

React

TypeScript

Git

CI/CD

Docker

Kubernetes

English fluency

Education

Degree in computer science or related field

Tools

LangChain

LangGraph

Azure AI Search

Elasticsearch/OpenSearch

TensorFlow

PyTorch

.NET/C#

Job description

AI Engineer

Own the commercial layer that turns predictive output into something a commercial team actually uses. If you like building agentic AI systems and shipping them as real, production grade applications people touch every day, read on.

Your new role

You’ll join our newly established data, insights and AI team in GCX, turning predictive intelligence into GenAI powered tools the commercial frontline relies on. You’ll design and build agentic workflows and RAG pipelines, and take them from prototype through to secure, scalable production, working across the full stack from backend orchestration to the interfaces business users interact with.

You’ll operate within Lundbeck’s federated AI engineering model, where GCX leads commercial use cases, domain‑specific engineering and business outcomes. The role will work closely with the Enterprise AI Solutions & Engineering team, leveraging shared AI platforms, architecture patterns, engineering standards and reusable capabilities, while ensuring commercial solutions are production‑ready and aligned with enterprise requirements.

Your responsibilities will include:

Generative AI and agentic development

• Designing and building commercial GenAI applications on enterprise LLM platforms
• Building commercial agentic AI workflows
• Developing and optimizing RAG architectures for business and technical use cases
• Integrating vector databases and semantic search to improve knowledge retrieval accuracy
• Building AI copilots, assistants and workflow automation
• Applying prompt engineering, evaluation and tuning to improve response quality, and optimizing model usage cost

Integration and orchestration

• Implementing Model Context Protocol (MCP) integrations to connect LLM applications with tools, data sources and business systems
• Designing reusable orchestration patterns across APIs, databases, files and enterprise knowledge repositories
• Designing context management, memory and tool calling strategies for AI agents
• Collaborating with the Enterprise AI Solutions & Engineering team to align commercial AI solutions with enterprise architecture, platform standards, security requirements and production readiness practices
• Contributing domain‑specific patterns and learnings back into shared enterprise AI capabilities where relevant

Backend and frontend development for AI use cases

• Developing scalable backend services using Python (FastAPI, Flask or Django), RESTful APIs and microservices
• Designing and optimizing SQL databases for application and reporting needs
• Implementing authentication, authorization, logging and secure coding practices
• Building responsive web applications and dashboards using React/Next.js and TypeScript
• Integrating AI powered experiences into enterprise applications, working closely with product and business stakeholders

Operations (long‑term)

• Containerizing services and deploying via cloud platforms
• Managing environments and automating deployment through CI/CD
• Monitoring performance, reliability and security in production
• Interpreting and visualizing model outputs for internal stakeholders, explaining AI concepts in plain terms

Your future team

You’ll join GCX’s newly established data, insights and AI team, responsible for the commercial intelligence layer: building competitively differentiating predictive intelligence loops. We stay close to the business to make sure what we build actually gets used, in service of reaching millions of people living with serious chronic diseases. The team is young enough that you’ll help shape its culture and ways of working. This is a build from scratch opportunity, not a seat on an established team.

The position is based in Copenhagen, Denmark.

What you bring to the team

• Degree in computer science, AI, machine learning or a related quantitative field
• Several years of software development or/and ML Engineering experience with strong Python and SQL
• Hands on experience building GenAI, LLM or AI enabled applications, including RAG pipelines and LLM integration patterns using LangChain, LangGraph or similar frameworks
• Solid understanding of NLP, transformer architectures and software engineering fundamentals and design patterns
• Frontend experience with React and TypeScript, and the ability to build interfaces business users actually want to use
• Experience with Git, CI/CD, Docker and Kubernetes
• Ability to design secure, scalable, production ready enterprise applications
• Strong communication skills; comfortable explaining complex AI concepts to non technical stakeholders; fluency in English

Nice to have

• Experience with MCP based integrations connecting LLM applications to enterprise tools and data
• Experience with Azure AI Search, Elasticsearch, OpenSearch or similar vector/semantic search platforms
• Experience with infrastructure as code
• Experience with TensorFlow or PyTorch
• Experience with .NET/C#
• Experience in pharma, healthcare, life sciences or commercial analytics

Our promise to you

Lundbeck offers an inspiring workplace and innovative culture, where our curiosity, accountability and adaptability enable us to transform lives. We want to go faster and further on addressing the big unmet needs of people living with brain disorders. We offer rewarding careers with a mix of exciting tasks and development opportunities that are balanced with initiatives focused on your well‑being.

We need every brain in the game, and at Lundbeck, we are committed to building a workforce that is as diverse as the people we serve.

Read more about our commitment at lundbeck/global/about-us/our-commitment/diversity-and-inclusion.

Annual base salary range:786 000 - 1 081 300 DKK gross