Agentic AI Engineer for Multi-Agent Workflows

Danske Bank; København; On-site; DKK 900,000 - 1,200,000; Full time

Job summary

Danske Bank is seeking an experienced AI Engineer to design and implement multi-agent workflows that power self-service experiences for customers. You will craft AI agents, integrate tools, and connect to internal data sources on AWS to deliver intelligent conversations.

The role combines deep LLM expertise with solid software engineering, focusing on production-grade Python, CI/CD, and observability within a regulated banking environment. This is a hands-on position based in Copenhagen.

Qualifications

• 5+ years of software engineering experience, including 2+ years in LLM/AI systems.
• Proficiency in Python and deploying AI-powered applications.
• Hands-on with AWS Bedrock and orchestration frameworks (LangChain / LangGraph).
• Familiarity with RAG architectures, vector databases, embedding models, and tool-use patterns.
• Strong prompt engineering, API use, testing, logging, and version control (Git).

Responsibilities

• Design and implement AI agents with tool definitions, action groups, and knowledge base integrations.
• Build multi-agent sets using routing, delegation, parallelisation, and result aggregation for self-service workflows.
• Develop prompt strategies, system prompts, memory, and evaluation frameworks for reliability and cost efficiency.
• Write production-grade Python code with tests, logging, observability, and CI/CD integrations on AWS.
• Collaborate with domain experts to translate journeys into agent tasks and evaluate model/version performance.

Skills

Python

LLM systems

AWS Bedrock

LangChain

LangGraph

Multi-agent design

Docker

Kubernetes

Git

API integration

Vector databases

Tools

FAISS

Pinecone

OpenSearch

Databricks

MCP servers

Job description

Danske Bank is seeking an experienced AI Engineer to design and implement multi-agent workflows that power self-service experiences for customers. You will craft AI agents, integrate tools, and connect to internal data sources on AWS to deliver intelligent conversations.

The role combines deep LLM expertise with solid software engineering, focusing on production-grade Python, CI/CD, and observability within a regulated banking environment. This is a hands-on position based in Copenhagen.