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Open nowPosted 26 days ago

AI Engineer

QuTwo10 open roles

Where
Helsinki, Finland; Stockholm, Sweden
Work mode
Hybrid
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Your applicationOpen nowAI EngineerQuTwo · Helsinki, Finland; Stockholm, Sweden

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

9.8% of postings close within 7 days. Measured by our own scanner across the market. QuTwo postings stay open a median of 15 days.

Share of postings closed within
  1. 1.9%1 day
  2. 3.9%3 days
  3. 9.8%7 days
  4. 15.6%14 days
  5. 33.8%30 days
This job: posted 26 days ago

QuTwo median: 15 days open

The posting

Join Qutwo - Europe's private Quantum AI Lab, on our quest to bridge the gap between the classical and the quantum world. We partner with the most advanced and forward-thinking customers, solving fundamental real-world problems, side by side.

You will join our team in a full-time capacity, collaborating closely with our scientists, engineers, and customers. In this role, you will apply a blend of exploratory research and practical implementation to design production-grade LLM architectures and autonomous Agentic AI systems that solve complex, real-world problems and drive customer value.

We are seeking exceptional AI Engineers. If you are a humble learner, not afraid of the unknown, we encourage you to apply.

Role Description

As an AI Engineer, you will join our team in a full-time capacity, collaborating closely with our scientists, engineers, and customers. In this role, you will apply a blend of exploratory research and practical implementation to design production-grade LLM architectures and autonomous Agentic AI systems that solve complex, real-world problems and drive customer value.

Requirements

  • Proven track record of designing, deploying, and maintaining end-to-end ML systems and production-grade LLM applications at scale. You have owned the transition from prototype to production-hardened service.
  • Minimum of 5 years of professional experience in ML and AI Engineering. You prioritize robust system design, observability, safety/guardrails, and "infrastructure as code" over one-off experiments.
  • Hands-on experience architecting Agentic AI systems, including multi-agent coordination, stateful workflow orchestration, autonomous decision loops, and complex action execution.
  • Strong background in LLM integration, including function calling/tool-use, structured output parsing, and advanced reasoning strategies.
  • Exceptional ability to lead cross-functional initiatives, translate business objectives into technical roadmaps, and uphold high standards for code quality and system reliability.
  • Experience leveling up high-performing engineering teams, conducting deep-dive code/architecture reviews, and fostering a culture of technical excellence.

Experience in one or more of the following areas is a plus but not a requirement:

  • Deep experience in LLM infrastructure, including advanced RAG systems, model fine-tuning, agent memory architectures, and automated evaluation frameworks.
  • Proficiency with vector databases, distributed computing, and GPU optimization.
  • Familiarity with combinatorial optimization algorithms or the intersection of ML and Quantum Computing.
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