Senior AI Engineer - Agentic AI
On behalf of a client in the financial sector, we are looking for a Senior AI Engineer. The consultant will help develop and implement AI agents and agentic workflows aimed at improving productivity and automating analytical tasks. This is a hands-on role focused on applying modern AI technologies to solve real business challenges and create value for end users.
Main Responsibilities:
Design and implement AI agents to improve banker productivity
Build multi-agent workflows utilizing AWS Bedrock and Agent Core
Engineer memory systems and RAG pipelines connecting to internal and external data sources
Create multi-agent orchestration patterns for efficient task management
Develop prompt engineering strategies and evaluation frameworks for consistent outputs
Write robust, production-grade Python/C# code with complete test coverage
Collaborate with Domain SMEs for task decomposition and evaluation rubrics
Maintain agent evaluation frameworks to monitor quality and performance
Key Requirements:
5+ years software engineering, 2+ years focused on LLM/AI systems
Hands-on AWS Bedrock and at least one orchestration framework (LangChain, LangGraph, or similar)
Production Python/C# experience building and shipping AI systems
Strong understanding of memory and RAG architectures, vector databases, and embedding models
Experience with tool-use / function-calling patterns in LLM applications IT Consultancy Request
Familiarity with LLM evaluation frameworks (relevance, faithfulness, hallucination detection)
Nice to Have:
Hands-on AWS Agent Core experience
Financial services background banking workflows, credit analysis, or capital markets
Fine-tuning or RLHF experience on domain-specific models
Familiarity with LSEG, Bloomberg, or financial data APIs as an integrator
Other Details:
Work Location: Copenhagen, Denmark (Hybrid)
Allocation: Full-time
Assignment Start Date/End Date: ASAP until 31.12.2026, with potential for extension