AI/Agentic Engineer

Quantum Software; Paris; Hybride; EUR 90 000 - 140 000; Plein temps

Avantages offerts par ce poste

BSPCE

Remote policy up to 40%

Parental plan with crèche support

Urban Sports Club

Mental health support

25 days vacation + RTT

Transportation cost support

Meal vouchers

French language courses

Résumé du poste

Quantum Software seeks a Software Engineer, Calibration Automation, to design and build LLM-based agentic systems for chip calibration. You will supervise automated routines and contribute to a production-grade product, collaborating with experimentalists and software engineers.

You’ll deliver tools to optimize automation, manage state and observability, and help reduce the need for human intervention by leveraging advanced AI workflows. Fluency in English is required; French is a plus.

Qualifications

• 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).
• Production-level Python software experience, including running systems reliably in production.
• 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.

Responsabilités

• Design and build LLM-based agentic systems that run calibration on the chip, or supervise/monitor the execution of existing automations.
• 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 leveraging LLM-driven reasoning over experimental data.
• 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 pipelines, monitoring and logging.
• 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.

Connaissances

LLMs

Agentic architectures

Python production

AI tooling design

Observability

Outils

LangGraph

AutoGen

CrewAI

Python

Description du poste

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)

Benefits

• Our success is your success: own it with our BSPCE plan


• Direct IP Compensation: Earn substantial bonuses for driving the core patents that define our quantum architecture.


• Flexible remote policy, up to 40 % a month


• A Parental plan including additional benefits such as crèche support or additional days-off to take care of under 12 years old children


• Subsidized membership with Urban Sports Club


• Mental health support with moka.care


• 25-day vacation policy (as per French law) + RTT


• Half of transportation cost coverage (as per French law), or yearly allowance for the die-hard bicycle users


• Competitive health coverage, with Alan.


• Meal vouchers with Swile, as well as access to a fully equipped and regularly stocked kitchen


• French language courses covered by the company for those interested

Research shows that women might feel hesitant to apply for this job if they don't match 100% of the job requirements listed. This list is a guide, and we'd love to receive your application even if you think you're only a partial match. We are looking to build teams that innovate, not just tick boxes on a job spec.

You will join of one of the most innovative startups in France at an early stage, to be part of a passionate and friendly team on its mission to build the first universal quantum computer!

We love to share and learn from one another, so you will be certain to innovate, develop new ideas, and have the space to grow.

QUANTUM ROLE CONTEXT | Appended by Quantum.Jobs v2

Role context

This role exists to introduce autonomous intelligence into complex technical workflows, replacing manual monitoring with automated decision-making. Positioned between hardware bring-up teams, experimental physicists, and core software engineering, the position bridges software development with experimental physical operations. It focuses on taking early-stage algorithmic concepts and turning them into stable software pipelines. Professionals in this engineering function ensure system operations remain reliable, observable, and resilient against unexpected operational anomalies, supporting broader multi-disciplinary research and development activities within technological organizations.

Quantum ecosystem relevance

The role contributes to enabling infrastructure within quantum hardware operations by supporting automated chip initialization and performance optimization workflows. As quantum computing systems scale in physical size and operational complexity, manual setup of physical hardware becomes a critical bottleneck. Implementing automated software routines and intelligent monitoring mechanisms allows quantum hardware to maintain optimal operational states over extended periods. This engineering layer facilitates efficient hardware testing, accelerating the iterative physical research cycles required to advance quantum hardware architectures.

Capability signals

• System design experience integrating intelligent decision loops into complex operational execution workflows


• Production software engineering background scaling experimental prototypes into maintainable automated products


• Technical background processing scientific and numerical dataset streams for automated operational evaluation


• Experience establishing software observability, monitoring pipelines, and robust error handling mechanism architectures


• Cross-disciplinary technical alignment with hardware engineering teams and applied experimental physical researchers