Generative AI Engineers
Copenhagen K, Denmark
Danske Bank
We are a Nordic bank with strong local roots and bridges to the rest of the world.Are you ready to shape the future of banking? Then join us at the forefront of technological innovation, harnessing the power of Generative AI to revolutionize internal processes within the Risk and Compliance organization. Your journey into the future of banking starts here!
Danske Bank is seeking a Generative AI Engineer (Full-Stack Developer) with a keen interest in Generative AI to join our dynamic and innovative Generative AI Integration squad within the Risk and Compliance Tribe.
The Risk and Compliance Tribe has a unique blend of business experts and IT specialists working together in agile teams. In our organization, teams are self-managed, entrusted to make key decisions, and crucial in driving end-to-end product and service delivery. Step into a world of collaboration, empowerment, and innovation, where you are not just part of the process, you are shaping it.
Shape the culture and ways of working
Our squad operates across borders, and you will be working alongside other Generative AI engineers and Business Analysts. As it has not been established for long, you will have a unique opportunity to shape our culture and ways of working within the squad, leaving your mark on our innovative endeavors.
In the words of Thomas Vicenci Witt, the Product Owner of the squad, “As a Generative AI Engineer (Full-Stack Developer), in our squad, you will have the opportunity to work with rapidly moving technology. Your contribution will be key in the implementation of a wide range of solutions that aim to improve our internal processes and assist colleagues across the Risk and Compliance organization."
In this role, you will research the Risk and Compliance domain we operate in, while you collaborate with product teams to identify AI integration points. Furthermore, you will:
- Design, develop, integrate, and operate AI solutions used by our business users.
- Architect optimal ways to integrate GenAI into various existing and new products.
- Choose appropriate RAG optimization and technical frameworks for the job.
- Work with prompt engineering, pre & post model invocation processing.
You will also optimize model usage cost, while you interpret and visualize model outputs for internal stakeholders, explaining complex AI concepts in simple terms. You will stay abreast of emerging AI trends and technologies, advocating for the adoption of relevant innovations – while you also maintain high code quality and contribute to best practices in our AI development process.
What we are looking for:
We are looking for you with experience with working with AI in Python: traditional frameworks like TensorFlow, PyTorch & frameworks for LLM use: Langchain, Haystack 2.0, Hugging face. You have extensive understanding of business application frameworks you would have to help integrate with. Primarily Python – and then you also bring:
- A degree in Computer Science, AI, Machine Learning, or a related field.
- Prior AI/ML work experience.
- Good understanding of NLP, LLMs, principles of generative pre-trained transformers, and RAG strategies.
- Experience with Infrastructure as Code, preferably using Terraform
- Exceptional communication capabilities to collaborate with various stakeholders. English is necessary.
You have a solid understanding of key concepts of building applications around LLM models: prompt engineering, tokenization, semantic pre-search etc., as well as an understanding of vector databases and their application for LLM use cases.
You are familiar with deployment infrastructures (e.g., Docker, Kubernetes) and cloud services (e.g., AWS, Azure) – and if you also have a good understanding of application design patterns and communication protocols, with a willingness to operate products you build, then please; APPLY!
What is the next step?
If you have any questions, please reach out to Henrik Skydtsgaard Nielsen, Chapter Lead skyd@danskebank.dk.
We are reviewing applications on a rolling basis and encourage you to apply early to ensure your candidacy is considered.
We look forward to receiving your application.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile AWS Azure Banking Computer Science Docker Engineering Generative AI Haystack Kubernetes LangChain LLMs Machine Learning NLP Prompt engineering Python PyTorch RAG Research TensorFlow Terraform Transformers
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