Senior AI Engineer

Copenhagen - Carl Jacobsens Vej 30, Denmark

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At Genmab, we are dedicated to building extra[not]ordinary® futures, together, by developing antibody products and groundbreaking, knock-your-socks-off KYSO antibody medicines® that change lives and the future of cancer treatment and serious diseases. We strive to create, champion and maintain a global workplace where individuals’ unique contributions are valued and drive innovative solutions to meet the needs of our patients, care partners, families and employees.

Our people are compassionate, candid, and purposeful, and our business is innovative and rooted in science. We believe that being proudly authentic and determined to be our best is essential to fulfilling our purpose. Yes, our work is incredibly serious and impactful, but we have big ambitions, bring a ton of care to pursuing them, and have a lot of fun while doing so.

Does this inspire you and feel like a fit? Then we would love to have you join us!

Senior AI Engineer 

 

As a Senior AI Engineer in Genmab’s AI Lab, you’ll sit at the intersection of software engineering and applied AI. This role is about building robust, production-ready tools, using large language models (LLMs), agent-based frameworks, and modern cloud infrastructure to support drug discovery, clinical trials, and data-driven decision-making. 

You’ll join a small, hands-on team working directly with domain experts across the company. Your focus will be to turn high-potential AI prototypes into scalable, useful tools that make an impact across the business from the lab to the field. 

This is an engineering-focused role, not a traditional data science position. You’ll need to be comfortable designing systems, writing code, deploying to production, and supporting ongoing use all while staying aligned with Genmab’s mission to improve patients’ lives. 

Responsibilities 

  • Architect and build multi-agent systems using frameworks like A2A or MCP to enable autonomous and human-in-the-loop workflows (e.g. document drafting, data analysis). 
  • Develop backend services with Python and FastAPI, and create light frontends with Streamlit or React when needed. 
  • Integrate systems with graph and vector databases (e.g. Neo4j, Pinecone) and Genmab’s data infrastructure on AWS. 
  • Embed AI tools (e.g. GitHub Copilot, Replit) into internal developer workflows to increase efficiency and adoption. 
  • Own the path from prototype to production, ensuring tools are reliable, secure, and scalable—avoiding throwaway solutions. Collaborate across teams, understanding business needs and translating them into technical solutions with real-world value. 
  • Explore and apply emerging AI technologies, sharing insights internally and supporting a culture of learning and experimentation. 

Requirements 

  • 8+ years of experience in software or ML engineering, including 1+ year working with applied LLMs (e.g. RAG, agents, context engineering). 
  • Strong software engineering skills with Python (FastAPI, backend development) and some experience with JavaScript/TypeScript (React/Next.js) preferred. 
  • Familiarity with one or more agent frameworks (e.g. LangGraph, LangChain, AutoGen, AgentSDK) and orchestration libraries.
  • Understanding of ML fundamentals: transformers, embeddings, vector search, and evaluation methodologies. 
  • Experience working with cloud infrastructure and dev ops tools for production deployment (preferably AWS). 
  • Strong communication skills able to collaborate with scientists, engineers, and business teams. 
  • A self-starter with a strong sense of ownership, eager to explore new technologies and solve meaningful problems. 
  • Interest in life sciences or the biotech/pharma space is a big plus—but domain expertise is not required on day one. 

 

About You

  • You are genuinely passionate about our purpose

  • You bring precision and excellence to all that you do

  • You believe in our rooted-in-science approach to problem-solving

  • You are a generous collaborator who can work in teams with a broad spectrum of backgrounds

  • You take pride in enabling the best work of others on the team

  • You can grapple with the unknown and be innovative

  • You have experience working in a fast-growing, dynamic company (or a strong desire to)

  • You work hard and are not afraid to have a little fun while you do so!

Locations

Genmab maximizes the efficiency of an agile working environment, when possible, for the betterment of employee work-life balance. Our offices are crafted as open, community-based spaces that work to connect employees while being immersed in our powerful laboratories. Whether you’re in one of our office spaces or working remotely, we thrive on connecting with each other to innovate.

About Genmab

Genmab is an international biotechnology company with a core purpose to improve the lives of patients through innovative and differentiated antibody therapeutics. For 25 years, its hard-working, innovative and collaborative team has invented next-generation antibody technology platforms and harnessed translational, quantitative and data sciences, resulting in a proprietary pipeline including bispecific T-cell engagers, antibody-drug conjugates, next-generation immune checkpoint modulators and effector function-enhanced antibodies. By 2030, Genmab’s vision is to transform the lives of people with cancer and other serious diseases with Knock-Your-Socks-Off (KYSO®) antibody medicines.

Established in 1999, Genmab is headquartered in Copenhagen, Denmark with international presence across North America, Europe and Asia Pacific. For more information, please visit Genmab.com and follow us on LinkedIn and X.

Genmab is committed to protecting your personal data and privacy. Please see our privacy policy for handling your data in connection with your application on our website Job Applicant Privacy Notice (genmab.com).

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile AWS Copilot Data analysis Drug discovery Engineering FastAPI GitHub JavaScript LangChain LLMs Machine Learning Neo4j Pharma Pinecone Privacy Python RAG React Streamlit Transformers TypeScript

Regions: Remote/Anywhere Europe
Country: Denmark

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