AI/Agentic Engineer
- Hybrid
- All ai & machine learning jobs
- CDI
- Firmware
About the role
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!
The Calibration team automates the calibration of our quantum processors so they remain performant and operate correctly. We're building a system to automate calibration end-to-end, with the ambition of moving toward an agentic approach able to detect and self-correct edge cases, rather than requiring human intervention at every anomaly. As Software Engineer, Calibration Automation, you'll design and build this system, taking it from proof of concept to a production-grade, deployable product over the coming months, working closely with the experimentalists and software engineers of the bring-up team.
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.
Requirements
- 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.
Recruitment process
- Screening call with Alex (30 min)
- Hiring Manager interview (45 min)
- Technical onsite Interview (90 min)
- Leadership Interview (30 min)
- Fit Interview (30 min)
