Senior Applied AI 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!

About the role

The Workflow team leverages software, AI and automation to improve the efficiency of the R&D processes of Alice & Bob.

As a Senior Applied AI Engineer in this team, you will design, deliver, and maintain high-quality, scalable and robust AI-based solutions to solve complex problems encountered by R&D teams and improve their efficiency. You’ll act as an individual contributor and technical leader to key projects dealing with both simulation and real-life execution of quantum experiments. You’ll work with elite researchers and engineers across Alice & Bob.

You don’t need to be a physics expert to succeed in this position. If you’re curious, motivated, and a fast learner, we’ll teach you everything you need to communicate efficiently with our scientists, and make a positive impact through your work.

Responsibilities

• Lead projects from conception to delivery autonomously, navigating ambiguity while meeting timelines.
• Own the design, development, maintenance, and delivery of AI-powered features, tools, or workflows, in partnership with Software Engineers.
• Evaluate, benchmark, and deploy LLMs and agentic AI systems for R&D use cases, selecting appropriate models, architectures, and evaluation methodologies.
• Implement and promote best practices in LLMOps and DevOps (e.g., model versioning, evaluation pipelines, CI/CD, observability, infrastructure as code).
• Lead design and code reviews for AI-related projects, and provide actionable feedback to peers.
• Collaborate efficiently with colleagues of various backgrounds (researchers, engineers, product managers…) to deeply understand their needs and proactively suggest AI-based workflows to make them more efficient.
• Mentor and support more junior engineers in their technical growth and onboarding.
• Participate in the continuous improvement of the team's processes.

Requirements

• 5+ years of professional software engineering experience, including at least 2 years focused on AI/ML systems in production environments (LLMs, agentic pipelines, RAG, or similar).
• Strong software engineering skills, with a track record of shipping reliable, maintainable code in a team setting (code reviews, CI/CD, testing, observability).
• Hands-on experience evaluating, fine-tuning, and deploying LLMs (prompt engineering, evaluation frameworks, and model selection).
• Familiarity with LLMOps practices: model versioning, evaluation pipelines, monitoring/tracing in production.
• Ability to communicate and work efficiently with colleagues from various backgrounds (researchers, engineers, product managers), and to translate their needs into actionable technical items.
• Professional-level English proficiency, both written and spoken.

Nice to have

• Experience working in a scientific or R&D-heavy organization.
• Experience with agentic AI frameworks (e.g., LangChain).
• Exposure to workflow automation tools or data pipelines (e.g., Airflow, Prefect).
• Experience with infrastructure-as-code and a cloud platform (e.g., AWS, GCP, Azure).

Recruitment Process

• Screening call with Doriane (30 min)
• Hiring Manager Interview (45 min)
• Technical Interview with the Team (60 min)
• Leadership Interview (30 min)
• Fit Interview (30 min)
• Reference check