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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineers - **Company:** Booking.com - **Location:** Amsterdam, Netherlands (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Computer Vision, Data Security, Software Design Patterns, Distributed Systems, Python (Programming Language), PostgreSQL, Machine Learning, Memcached, Microsoft SQL Server, MySQL, Oracle (Applications), Performance Tuning, Recommender Systems, Redis, Cadence Virtuoso, Prometheus, Scala (Programming Language), Search Technologies, Software Deployment, Software Engineering, Systems Integration, Workflow Management Systems, AI Infrastructure, Reinforcement Learning, Data Storage Technologies, Cloud Platform System, Feature Engineering, Amazon ElastiCache, Large Language Models, Grafana, Multi-Agent Systems, Prompt Engineering, Caching, Reliability of Systems, Generative AI, Backend, Build Management, Amazon Relational Database Service, Containerization, Information Technology, Nintex, Machine Learning Operations, Virtual Agents, GPT, Natural Language Understanding, Data Pipelines, Docker - **Published:** August 7, 2026 - **Apply:** https://www.careerjet.nl/job/nle10e15e08eb50ead51e0370ea41e32ad/eaa ## About the Role We are looking for driven Software Engineers who enjoy solving problems, who initiate solutions and discussions and who believe that any challenge can be scaled with the right approach and tools. We have found that people who match the following requirements are the ones who fit us best: * 3+ years of professional experience in software engineering, with a focus on backend or platform development. * Experience building distributed systems at scale, with a focus on performance tuning, observability, and reliability best practices. * Experience with scalable data storage systems (e.g. MySQL, Redis) and optimizing data access and caching for high-throughput applications. * Proficiency in one or more server-side programming languages such as Java, Scala, or Python. * Experience in feature engineering, integrating AI/ML models into production systems, and understanding model behavior, performance and constraints. * Experience building AI agents and components such as memory, context engineering, retrieval, and orchestration. * Experience working in cross-functional teams alongside ML engineers, data scientists, and product stakeholders to bring AI/ML products to production. * Experience with containerization tools like Docker and Kubernetes, and deploying applications in cloud environments such as AWS or GCP. * Ability to navigate ambiguity, take ownership of complex problems, and drive them to resolution. * Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent industry experience., Docker, Kubernetes, AWS, GCP, Cost optimization, Flink, Stream processing, Spark, Batch processing, Weaviate, Pinecone, Milvus, Qdrant, Chroma,Vector search, Semantic search, Embeddings, MySQL, PostgreSQL, AWS RDS, Amazon Aurora, Oracle, MS SQL Server, Redis, AWS Elasticache, Memcached, Feature Engineering, Feature Store, Grafana, Prometheus, Arize, Dashboards and alerts, Python, Java, Scala, N8n, , Cadence, Workflow orchestration, Agent Orchestration, MCP, A2A,ACP, TAP, OAP, FCP, GPT, Claude, Grok, Llama, Gemini, Qwen, R1, Prompt Engineering, LLM Evals, RAG, Guardrails, Memory, Multimodal, Agentic system design, Agentic AI, system design, AI Agents design, Agentic design pattern, Context engineering, Scaling LLM inference, Search and Ranking, Recommendation Systems, Optimization and Causal Inference, LLMs and Natural Language Understanding, Computer Vision, Speech and Multimodal AI, Reinforcement Learning, Generative AI ## Description As a Software Engineer working on the AI Application Platform, you will work at the intersection of scalable backend systems and cutting-edge AI. You will have the opportunity to design and build the core platform that enables product teams to rapidly develop and deploy AI-powered experiences for millions of people. You will tackle complex performance and scaling challenges, shape the foundation of our AI infrastructure, and collaborate closely with ML engineers, data engineers, and data scientists to bring intelligent systems into production at scale. For more insights about the different business units and the scope of their projects and goals, please visit ., Important aspects of the job can include: * Design and evaluate architecture solutions for AI infrastructure, rapidly prototyping to validate key assumptions and guide decision-making. * Explore, benchmark, and integrate new AI/ML tools and technologies to drive innovative engineering solutions that meet evolving business needs. * Build and maintain scalable, reusable backend services that support real-time AI/ML inference, model deployment, and data pipelines. * Collaborate closely with ML engineers, data engineers, and data scientists to bring AI/ML models into production and optimize system performance. * Take end-to-end ownership of system reliability and operational excellence, including performance tuning, observability and incident management. * Continuously grow technical and interpersonal skills through hands-on experience, knowledge sharing sessions, and industry events. ## Related Videos - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [MySQL Protocol Features You Should Be Aware Of](https://www.wearedevelopers.com/videos/100267-mysql-protocol-features-you-should-be-aware-of) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Streaming AI Responses in Real-Time with SSE in Next.js & NestJS](https://www.wearedevelopers.com/videos/1630-streaming-ai-responses-in-real-time-with-sse-in-next-js-nestjs) - [Coding for Good: Achieving social change with an app](https://www.wearedevelopers.com/videos/1645-coding-for-good-achieving-social-change-with-an-app) ## Related Articles - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Where To Find Software Engineering Jobs](https://www.wearedevelopers.com/magazine/396-where-to-find-software-engineering-jobs)