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Location
Hybrid (Paris, France)
Seniority
Intern
Employment
Internship

Confirmed on the employer's own hiring board on Oct 24, 2026. First seen by Alion on Oct 19, 2026. Alice & Bob scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Alice & Bob is a deep-tech quantum computing hardware enterprise headquartered in Paris, France, with a major North American hub in Boston, Massachusetts. Founded in 2020 by Dr. Théau Peronnin and Dr. Raphaël Lescanne out of research at ENS Paris, Inria, and French public physics laboratories, the firm has raised over €180 million from prominent investors including Elaia, Bpifrance, Supernova Invest, and NVIDIA NVentures.

Purpose of the role

In a context where Alice & Bob's R&D increasingly relies on structured, end-to-end data to design, simulate and measure its quantum processors, ABDB is the platform that holds that data (chip designs, wafers, simulations, measurements, cooldowns) and serves it to research teams and to downstream tools. With the Frontier team taking product ownership of ABDB and the platform moving to a scalable cloud infrastructure, the Full-Stack Software Engineer Intern strengthens the team's capacity to deliver the features its users need and to open the platform to AI agents as active participants in the R&D loop.

Reporting to the Frontier Team Manager and tutored by ABDB's lead developer, they will work closely with the Frontier team and with ABDB's user teams (Chip Design, Quantum Hardware Infrastructure, Platform) to ship features end-to-end, from user need to production.

Responsibilities:

    • Deliver features on the ABDB platform end-to-end
    • Implement prioritized backlog items across the stack: web application (UI/UX), REST API and business logic, Python client
    • Translate user requests from research teams into specified, tested, documented features
    • Participate in release preparation and user communication
    • Extend ABDB's programmatic and agentic access
    • Design and implement write-capable MCP tools (upload of simulation/measurement artefacts, annotations, cross-checks between designs and experiments)
    • Implement the validation, permission and audit mechanisms required for safe agent participation
    • Evolve the Python client in line with researcher and agent needs
    • Modernize data ingestion and integration paths
    • Replace fileserver-based ingestion flows with API-based uploads
    • Maintain and extend integrations with upstream and downstream tools (Starboard, catographer, anb-exp, simulation pipelines)
    • Contribute to platform performance and reliability
    • Optimize queries and data access for high-load usage patterns on the cloud-hosted platform
    • Improve observability, automated testing and CI
    • Use AI coding agents as part of the team's standard development workflow
    • Support other Frontier interfaces as needs arise
    • Contribute to Starboard and GENCI-related deliverables
    • Participate in code reviews, technical discussions and documentation

Requirements:

    You are comfortable moving between frontend, backend and data layers, and curious about how AI agents can be integrated into engineering and research workflows.

  • Education: Final-year Master's degree or engineering school (Bac+5) in Computer Science, Software Engineering or a related field
  • Languages: Proficient in English
  • Experience: Previous internship or significant personal/academic projects in full-stack or backend development
  • Solid programming skills in Python
  • Familiarity with a backend web framework and/or a frontend framework
  • Good understanding of relational databases, SQL and data modeling
  • Working knowledge of Git, code review practices and automated testing
  • Interest in LLM tooling (MCP, agents, evaluation harnesses) and in AI-assisted development
  • Interest in scientific or R&D data and in understanding users' needs
  • Ability to work autonomously, communicate clearly and ask for help early
  • Rigor and attention to reliability when working on a platform used daily by many teams

Nice to have:

  • Experience with FastAPI and React (ABDB's stack) is a strong plus
  • French is a plus
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