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AI Native Staff Engineer

  • On-site, Hybrid
    • Amsterdam, Noord-Holland, Netherlands
  • Engineering

Build and ship production systems where AI is core, not a feature. Use agents and LLMs to 10x your output and drive real product impact.

Job description

About the Role

We’re looking for an exceptional software engineer who uses AI as a force multiplier, not someone who trains models all day.

Someone who builds better software because they deeply understand how to leverage LLMs, agents, and automation in their workflow and products.

You think in systems.

You ship fast.

You use AI to 10x your output —> and you’re excited to architect products where AI is core, not a feature.

If you’re already building with agents, orchestrating AI tools, automating your own engineering process, and experimenting with new models weekly, you’ll thrive here.

What You’ll Do

Build AI-Native Product Systems

  • Design and ship AI-powered product features end-to-end

  • 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


What’s in It for You

  • Very competitive compensation package

  • Meaningful stock options

  • Top-tier tools (MacBook Pro + AI tooling budget)

  • Hybrid setup + occasional travel

  • Really make an impact

Job requirements

Staff-Level Engineering Depth

  • 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

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Our Process.

Introductory chat In the first call, we want to learn about you, your story, and of course, to check a potential fit to Carv. This is also a chance for you to ask questions about the role and company.

Show us your skills For all technical roles, we will ask you to finish a technical challenge to check your knowledge and expertise. Don't worry, nothing crazy, just a fun challenge.

Technical chat In this meeting, the Carv team will dive deeper into your experience and what you could bring to the team. You can expect questions to check how knowledgeable you are in your field of expertise.

Final chat You made it to the very last stage, the final chat! Here we want to introduce more team members, share our mission & vision, and also give you the opportunity to ask your final questions.

Perks & Benefits.

Work on something unique

Competitive salary

Personal development budget

Company stock options

Latest MacBook Pro

Unlimited PTO

Hybrid way of working

Carv.com provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics.