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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Native Staff Engineer - **Company:** Carv.com B.V. - **Location:** Amsterdam, Netherlands - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Software as a Service, Cloud Engineering, Encodings, Distributed Systems, Performance Tuning, Software Engineering, Systems Architecture, Enterprise Software Applications, Application Enhancement Tool, Large Language Models, Concurrency, Low Latency - **Published:** August 15, 2026 - **Apply:** https://www.adzuna.nl/details/5839605990 ## About the Role * 8+ years of professional software engineering experience * Proven track record in designing and shipping large-scale production systems * Experience owning architecture across services or product domains * Strong backend engineering fundamentals (APIs, distributed systems, data modeling, concurrency, reliability) * Experience operating systems in production (monitoring, incident handling, performance tuning) * Cloud-native experience (GCP, AWS, or Azure) Production AI Systems (Not Research) * Experience shipping LLM-powered features to real users in production * Designed and implemented RAG systems in production environments * Built or architected AI agents or tool-using multi-step reasoning systems * Designed evaluation frameworks for LLM output quality, safety, and regression detection * Experience optimizing AI systems for latency, cost efficiency, and reliability * Experience integrating vector databases and embedding pipelines into scalable systems AI-Native Engineering Approach * Actively use AI tools and agents to augment your engineering workflow * Demonstrated ability to design systems where AI components and deterministic systems work together * Experience turning fast AI prototypes into production-grade systems * Strong judgment around when to use AI vs deterministic logic Ownership & Impact * Experience leading complex technical initiatives end-to-end * Ability to translate ambiguous business problems into system architecture * Experience mentoring senior engineers or setting technical standards * Track record of shipping high-impact features with measurable outcomes ## Description * Architect systems where LLMs, agents, and traditional software work together * Implement RAG pipelines, structured reasoning flows, and tool-using agents * Continuously improve reliability, latency, and cost efficiency Engineer With AI at Full Leverage * Use AI agents to accelerate development, testing, and architecture decisions * Prototype rapidly and ship production-grade systems * Set up internal AI tooling that multiplies team output * Push the boundary of what s possible with current models Own Impact, Not Experiments * Translate product problems into scalable AI-powered solutions * Measure real-world performance (accuracy, business impact, UX) * Optimize for production robustness > not just demo quality Shape Our AI-Native Engineering Culture * Raise the bar for how we use AI internally * Establish pragmatic standards for evaluation and iteration * Mentor engineers on AI-native workflows * Contribute to long-term technical direction What We re Looking For You: * Actively use LLMs in your daily workflow * Have built agents, RAG systems, or AI-powered tools * Care about practical reliability over theoretical elegance * Think in orchestration, not just prompts * Experiment constantly with new models and tools We care less about: * Academic ML background * Publishing papers * Training models from scratch We care more about: * What you ve shipped * How you use AI to move faster * How you think about systems that include AI components Why Join Us We re redefining recruitment with AI at the core of the product not bolted on. You ll: * Work directly with experienced SaaS leadership (15+ years building in this space) * Have real ownership over architecture and AI direction * Built in a high-velocity, high-impact environment * Help define what AI-native enterprise software looks like ## Related Videos - [The AI-Native Engineering Org: What’s Real, What’s Hype, What’s Next](https://www.wearedevelopers.com/videos/100004-the-ai-native-engineering-org-what-s-real-what-s-hype-what-s-next) - [A Brief History of Data Storage](https://www.wearedevelopers.com/videos/974-a-brief-history-of-data-storage) - [Concurrency with Go](https://www.wearedevelopers.com/videos/191-concurrency-with-go) - [Swapping Low Latency Data Storage Under High Load](https://www.wearedevelopers.com/videos/746-swapping-low-latency-data-storage-under-high-load) - [AI Driven Development](https://www.wearedevelopers.com/videos/100340-ai-driven-development) - [JSON and Beyond](https://www.wearedevelopers.com/videos/968-json-and-beyond) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)