{"id":2846000,"url":"https://alion.io/job/alice-bob-full-stack-software-engineer-intern-mf","title":"Full-Stack Software Engineer Intern M/F","company":{"id":1906,"name":"Alice & Bob","domain":"alice-bob.com","url":"https://alion.io/company/alice-bob","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":83,"open_postings":4,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":71,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Backend","role_family":"Backend","seniority":"intern","employment_type":"internship","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Paris, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Alice & Bob","optional":false},{"name":"Git","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"FastAPI","optional":true},{"name":"JavaScript","optional":true},{"name":"React.js","optional":true}],"status":"live","first_seen_at":"2026-10-19T08:27:31Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-24T18:33:10Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Purpose of the role\nIn 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.\nReporting 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.\n\nResponsibilities:\n Deliver features on the ABDB platform end-to-end\nImplement prioritized backlog items across the stack: web application (UI/UX), REST API and business logic, Python client\nTranslate user requests from research teams into specified, tested, documented features\nParticipate in release preparation and user communication\n Extend ABDB's programmatic and agentic access\nDesign and implement write-capable MCP tools (upload of simulation/measurement artefacts, annotations, cross-checks between designs and experiments)\nImplement the validation, permission and audit mechanisms required for safe agent participation\nEvolve the Python client in line with researcher and agent needs\n Modernize data ingestion and integration paths\nReplace fileserver-based ingestion flows with API-based uploads\nMaintain and extend integrations with upstream and downstream tools (Starboard, catographer, anb-exp, simulation pipelines)\nContribute to platform performance and reliability\nOptimize queries and data access for high-load usage patterns on the cloud-hosted platform\nImprove observability, automated testing and CI\nUse AI coding agents as part of the team's standard development workflow\nSupport other Frontier interfaces as needs arise\nContribute to Starboard and GENCI-related deliverables\nParticipate in code reviews, technical discussions and documentation\nRequirements:\nYou are comfortable moving between frontend, backend and data layers, and curious about how AI agents can be integrated into engineering and research workflows.\n Education: Final-year Master's degree or engineering school (Bac+5) in Computer Science, Software Engineering or a related field\nLanguages: Proficient in English\n Experience: Previous internship or significant personal/academic projects in full-stack or backend development\nSolid programming skills in Python\nFamiliarity with a backend web framework and/or a frontend framework\nGood understanding of relational databases, SQL and data modeling\nWorking knowledge of Git, code review practices and automated testing\nInterest in LLM tooling (MCP, agents, evaluation harnesses) and in AI-assisted development\nInterest in scientific or R&D data and in understanding users' needs\nAbility to work autonomously, communicate clearly and ask for help early\nRigor and attention to reliability when working on a platform used daily by many teams\nNice to 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