AI engineer
IQ Staffing · Amsterdam, North Holland, Netherlands
قدّم وتابع مع أبلاي إيدجAn opportunity for an experienced AI Engineer to join a leading financial institution in Amsterdam and help accelerate the adoption of AI across the business.You will build modern, production-grade AI systems using agents, retrieval, memory and evaluation loops. Working at the intersection of business and engineering, you will design and deliver hands-on AI applications that solve real business challenges. The environment runs fully on AWS, and the work is focused on application building rather than low-code solutions.Responsibilities:Design and implement agent workflows, including context engineering, tool use and orchestration.Build retrieval and memory systems, including vector search, session memory, long-term memory and compaction.Develop evaluation pipelines, including automated evaluation, human evaluation and evaluation suites.Integrate AI services on cloud platforms, particularly AWS Bedrock, Knowledge Bases and agent frameworks.Build AI use cases for the business, with around 20 use cases currently in the pipeline.Work closely with business stakeholders to design fit-for-purpose AI solutions.Deliver production-grade AI applications using modern software engineering practices.Requirements:Strong AI/ML background with hands-on experience building AI solutions.Experience setting up and delivering AI use cases for business stakeholders.Hands-on experience with LLMs through APIs or SDKs.Experience with agent-based systems, including memory, orchestration and multi-step workflows.Strong knowledge of retrieval systems, embeddings and vector search.Experience with evaluation frameworks and quality measurement for AI systems.Experience working with AI solutions on AWS.Experience with AWS Bedrock is required.Experience with AWS AgentCore is a strong advantage.Strong software engineering background, including Python and version control.Experience with TypeScript.A hands-on engineering mindset and the ability to build real applications rather than relying on low-code tooling.