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.
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.
- 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.
Nice to Have
What We Offer
- 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!
- Locaties
- Amsterdam, North Holland, Nederland
- Tijdzones
- Nederland en België
- Ervaring
- 5+ jaar
