AI Agent Engineer (Relocation Provided)

Wypoon Technologies
Amsterdam, Netherlands
1 day ago
Apply on www.adzuna.nl
Prepare application

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Languages
English
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Microsoft Azure Cloud Computing Programming Tools Python (Programming Language) Search Technologies Software Engineering Enterprise Software Applications Data Ingestion Large Language Models Multi-Agent Systems
+12 more
Prompt Engineering Generative AI Backend Fastapi Build Management AI Platforms Kubernetes Low Latency Machine Learning Operations Virtual Agents Docker Microservices

Job description

Are you passionate about building intelligent AI agents that solve real business challenges? At Wypoon Technologies, we’re expanding our team of AI engineers to support enterprise organizations in adopting the next generation of Agentic AI solutions. You’ll design and build production-grade AI agents, LLM-powered applications, and scalable AI platforms that integrate seamlessly into complex enterprise environments.

Whether your experience is in AI agent development, Retrieval-Augmented Generation (RAG), or cloud-native AI engineering, you’ll contribute to innovative projects that shape the future of enterprise AI.

Why Join Us? At Wypoon Technologies, you’ll work on dynamic projects for industry leaders such as Heineken, ING, ASML, Philips, and Shell, tackling exciting challenges and delivering tailored enterprise solutions. Here’s what makes us stand out: Impactful Work: Shape the future of our clients’ digital landscapes. Innovative Environment: Collaborate within a supportive team that values learning and growth. State-of-the-art technology: Access the latest tools and platforms. Global Opportunities: Dreaming of living and working in the Netherlands or Belgium? We provide full support with visa processes, making your transition smooth and hassle-free! Key Responsibilities

  • Design and build production-grade AI agents with planning, reasoning, and tool-use capabilities.
  • Architect stateful agent workflows using orchestration frameworks such as LangGraph or AutoGen.
  • Build and productionize Retrieval-Augmented Generation (RAG) pipelines, including data ingestion, embedding strategies, retrieval optimization, and re-ranking.
  • Integrate Large Language Models (LLMs) with enterprise systems through APIs, tools, and external data sources.
  • Optimize retrieval performance, ranking strategies, and overall RAG architecture.
  • Establish evaluation frameworks, observability, guardrails, and monitoring for LLM applications, focusing on accuracy, safety, latency, and cost.
  • Deploy, maintain, and scale AI applications using Docker, Kubernetes, and Azure cloud services.
  • Contribute to technical architecture, mentor fellow engineers, and help define engineering best practices for agentic AI development.

Requirements

  • 5+ years of professional software engineering experience, with strong Python development skills.
  • Strong English language skills
  • Proven experience building and operating production-grade AI agents or autonomous AI systems (beyond proof-of-concepts).
  • Hands-on experience with LLM APIs, including function calling, tool integration, and orchestration.
  • Experience with frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or similar agent frameworks.
  • Strong understanding of RAG architectures, vector databases (e.g. Pinecone, Weaviate, Azure AI Search), and retrieval optimization techniques.
  • Experience with prompt engineering, LLM evaluation, safety mechanisms, and AI quality assurance.
  • Experience with Docker, Kubernetes, and cloud platforms (Azure is preferred).
  • Familiarity with backend development using frameworks such as FastAPI and microservices architecture.

Nice to Have

  • Experience building reusable AI platforms or internal developer tooling.
  • Experience with enterprise-scale AI deployments and MLOps practices.
  • Knowledge of observability and monitoring for LLM-based applications.

Benefits & conditions

  • Competitive Compensation: Salary tailored to your skills and experience.
  • Generous Time Off: 25 paid vacation days (based on a 40-hour work week).
  • Relocation Support: A relocation and travel budget to ease your transition.
  • Tax Benefits: Eligibility for the 30% ruling.
  • Travel Reimbursement: We’ve got your daily commute covered.
  • Top-Notch Equipment: A high-quality device to ensure you work efficiently.
  • Professional Development: Financial support for certifications, technical training, and language courses-because we value your long-term career growth.
  • Family: Visa sponsorship for your partner and children under 18.
  • Temporary Accommodation: Stay in temporary housing while we help you find your permanent home.
  • Comprehensive Relocation Assistance: Extensive support to help you settle in smoothly.
  • Community & Fun: Enjoy team events and connect with developers from around the globe!

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.adzuna.nl
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · World Congress 2025

3:33 min

Connecting frontends via a FastAPI proxy backend layer

Saoussen Chaabnia Saoussen Chaabnia · Europe 2026 Virtual

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

2:15 min

Leveraging artificial intelligence to accelerate system migration

Annette Schelten Annette Schelten +1 · World Congress 2025

2:34 min

Docker sandbox architecture and microVM environment integration

Manuel de la Peña Manuel de la Peña · World Congress 2026 Europe

1:47 min

Expanding AI agents across workflows and team structures

Brian Scanlan Brian Scanlan · World Congress 2026 Europe

Videos

See all

Related articles

See all