Top Tech Jobs & Startup Jobs

Build scalable, resilient, and secure backend microservices and APIs for production AI applications across AWS and Azure. Integrate databases, third-party services, legacy platforms, and AI systems; optimize performance for real-time workloads; implement authentication, authorization, RBAC, and rate limiting; and apply testing, CI/CD, Git, code review, and containerization best practices.

Designs end-to-end enterprise AI architectures on AWS, including LLM orchestration, integrations, cloud infrastructure, security, scalability, and governance. Leads technical discovery workshops, creates architecture documentation and standards, guides engineering squads, reviews designs, presents decisions to senior stakeholders, and evaluates third-party AI platforms for buy-versus-build decisions. Requires extensive senior architecture experience and fluent Dutch and English.

Design, build, and deploy production-grade autonomous agents, multi-agent systems, and LLM-powered enterprise applications. Develop reusable orchestration patterns, integrate models with APIs, databases, tools, and enterprise systems, and implement structured outputs, memory, monitoring, tracing, evaluation, and recovery workflows. Deploy secure, scalable AI solutions primarily on AWS while applying MLOps and AIOps practices. Collaborate with engineering, data, cloud, and business teams.

Senior Business Analyst translating insurance business needs into functional requirements for AI and automation initiatives. Responsibilities include defining use cases, mapping workflows, facilitating business and technical workshops, writing user stories and acceptance criteria, conducting gap analyses, and supporting UAT. The role bridges insurance stakeholders, data and AI teams, and engineering squads while ensuring solutions meet operational, regulatory, and customer requirements.

Build scalable pipelines to ingest and process high-volume unstructured insurance documents, including PDFs, scans, emails, Word, Excel, and PowerPoint files. Responsibilities include OCR integration, document parsing, text normalization, semantic chunking, metadata extraction, enterprise connectors, retrieval-ready data preparation for RAG systems, validation, monitoring, logging, testing, and secure cloud deployment using software engineering best practices.

Build and secure cloud infrastructure for production AI solutions across AWS and Azure. Responsibilities include designing CI/CD pipelines, implementing Infrastructure as Code, integrating security scanning and compliance controls, managing Docker and Kubernetes environments, configuring IAM and network security, monitoring and logging systems, improving reliability, and supporting penetration testing remediation.

Lead semiconductor and embedded systems product development from concept to production. Define scope, schedules, budgets, and risks; coordinate multidisciplinary and international hardware, software, validation, and operations teams; manage suppliers and stakeholder reporting to ensure timely delivery and production readiness.

Lead technical B2B sales for advanced electronic components and embedded solutions. Build pipelines, secure design wins, manage complex long sales cycles, coordinate channel partners, translate requirements into technical-commercial proposals, negotiate contracts and pricing, and support customers through production readiness while providing market insights to product and engineering teams.