AI/Agentic Engineer

Alice & Bob is developing the first universal, fault-tolerant quantum computer to solve the world’s hardest problems.
The quantum computer we envision building is based on a new kind of superconducting qubit: the Schrödinger cat qubit 🐈‍⬛. In comparison to other superconducting platforms, cat qubits have the astonishing ability to implement quantum error correction autonomously!
 
We're a diverse team of 250+ brilliant minds from over 35 countries united by a single goal: to revolutionise computing with a practical fault-tolerant quantum machine. Are you ready to take on unprecedented challenges and contribute to revolutionising technology? Join us, and let's shape the future of quantum computing together!

Responsabilities

• Design and build LLM-based agentic systems that run calibration on the chip, or supervise/monitor the execution of existing automations, depending on the deployment mode.


• Design and build AI-based tools to ease the development and improvement of automation routines.


• Work toward a system able to detect, handle, and eventually self-correct edge cases - situations where calibration doesn't go as expected - leveraging LLM-driven reasoning over experimental data to reduce the need for human intervention.


• Take the project from proof of concept to a robust, deployable product once the architecture is stabilized.


• Ensure calibration automations are reproducible, observable and maintainable — build the pipelines, monitoring and logging needed to trust the system in production.


• Build the engineering fundamentals a production agentic system needs: tool integration, state management, error handling, rollback, and guardrails.


• Integrate the system with the team's existing Python codebase, CI/CD and automation framework, working closely with the wider engineering team on infrastructure choices.

• 5-6 years of experience in a senior software engineering role.


• Strong, hands-on experience building with LLMs and agentic architectures (e.g. LangGraph, AutoGen, CrewAI) - designing agent loops, tool calling, memory/state management, and evaluation.


• Confirmed, production-level Python software experience, including running systems reliably in production (not just experimentation).


• Proven ability to take a proof of concept to a stable, deployable product once the architecture is validated.


• Comfortable working with numerical/scientific data to inform decision-making in an automated system.


• Strong analytical and communication skills, with the ability to work with both technical and experimental/research teams.


• Fluent English; French is a plus.

• Screening call with Alex (30 min)


• Hiring Manager interview (45 min)


• Technical onsite Interview (90 min)


• Leadership Interview (30 min)


• Fit Interview (30 min)

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