AI engineer

IQ Staffing; Amsterdam; On-site; EUR 70,000 - 90,000; Full time

Job summary

IQ Staffing is seeking an experienced AI Engineer in Amsterdam to join a leading financial institution. In this role, you will build production-grade AI applications and integrate AI services across the business using modern software engineering practices.

The ideal candidate must possess a strong AI/ML background, hands-on experience with LLMs, and expertise in AWS, particularly AWS Bedrock. You will work closely with stakeholders to deliver impactful AI use cases.

Qualifications

• 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, memory, orchestration, and workflows.

Responsibilities

• Design and implement agent workflows, including context engineering.
• Build retrieval and memory systems, including vector search.
• Develop evaluation pipelines for AI systems.
• Integrate AI services on AWS, particularly AWS Bedrock.

Skills

AI/ML expertise

AWS experience

Software engineering (Python)

Experience with TypeScript

Tools

AWS Bedrock

LLMs (APIs/SDKs)

Agent-based systems

Job description

An 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.