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.
- 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
Skills Required
- 5+ years of professional software engineering experience, including at least 2 years focused on AI/ML systems in production environments
- Strong software engineering skills with experience shipping reliable, maintainable code in team settings (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 researchers, engineers, and product managers and translate needs into technical work
- Professional-level English proficiency, both written and spoken
- 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)
What We Do
Founded in 2020, Alice & Bob secured $30 M funding in Series A. Today, we're recognized as one of the leaders in Quantum Computing. Our cat qubits are error corrected by design, reducing hardware requirements by up to 200 times compared to other platforms enabling fault-tolerant quantum computing at scale. Our headquarters is located in Paris, with offices in Boston, MA. We are 80+ smart and dedicated innovators, coming from 17+ countries and growing by the day. We are committed to one mission: build a useful quantum computer. Check open positions: bit.ly/joinusatAB
