Senior AI Software Engineer

🕒 il y a 2 mois

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

🗣️🇺🇸🇬🇧 Anglais requis

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Repérée par Remote Rocketship il y a 2 mois

Toujours ouverte sur le site de Zapata Quantum. Vérifiée il y a 5 heures.

Logo of Zapata Quantum

Zapata Quantum

11 - 50 employés

Fondée en 2017

🔬 Science

🏢 Entreprise

🤖 Intelligence artificielle

Science • Enterprise • Artificial Intelligence

Zapata Quantum est une entreprise spécialisée dans les logiciels et applications quantiques qui propose une plateforme (Quantum Application Intelligence) pour identifier les cas d'utilisation quantique à forte valeur ajoutée, évaluer la préparation du matériel, et accélérer le développement d'algorithmes et d'applications quantiques. L'entreprise se concentre sur la chimie et la pharmacie (découverte de médicaments), l'optimisation, la simulation (matériaux, CFD, simulations de défense) et les cas d'utilisation de l'apprentissage automatique, et publie des recherches sur les algorithmes quantiques et l'estimation des ressources. Zapata collabore avec des leaders de l'industrie et de la recherche (par exemple, NVIDIA, DARPA, Dana-Farber) et dessert des entreprises du Fortune 500 ainsi que des agences gouvernementales pour faire évoluer les flux de travail quantiques depuis l'identification des cas d'utilisation jusqu'à la conception de circuits logiques et l'exécution matérielle.

Description

• Design and build systems involving knowledge graphs, ontologies, graph and vector databases, RAG, and related AI-enabled application functionality • Design and implement scalable agentic pipelines involving custom agent tools, loops, and evaluation techniques • Design, architect, build, and continuously improve a modern, interactive web application • Select appropriate application frameworks and design intuitive user interfaces • Make architectural and product-related technical decisions using independent judgment • Design and implement backend systems, data models, APIs, data pipelines, and integrations • Integrate AI-enabled features such as intelligent search, retrieval, recommendations, and contextual assistance • Collaborate with product, design, domain experts, and company leadership to translate business and user needs into technical solutions • Personally write, test, debug, and ship production code • Contribute to engineering standards and best practices for software design, code quality, testing, documentation, security, and maintainability • Evaluate and adopt emerging technologies, including AI-assisted development tools • Work across the stack on a small engineering team

🎯 Exigences

• 5+ years of professional software engineering experience, with substantial recent experience personally writing and shipping production code • Strong full-stack engineering fundamentals • Demonstrated experience with knowledge graphs, ontologies, RAG, retrieval systems, graph databases, vector databases, or related technologies • Demonstrated experience designing, building, and maintaining production-quality, user-facing web applications • Experience making architectural decisions and evaluating technical tradeoffs across frontend, backend, data, infrastructure, and application integrations • Experience using AI tools for engineering across development, testing, deployment and observability • Strong understanding of UI/UX principles and product usability • Ability to translate complex information into intuitive user experiences • Ability to rapidly prototype technical approaches and determine when to prioritize speed, simplicity, scalability, or long-term maintainability • Ability to work autonomously, manage competing priorities, and deliver results with minimal oversight • Strong communication and collaboration skills, including explaining technical decisions to technical and nontechnical stakeholders • Ability and enthusiasm to learn unfamiliar technical domains • Prior quantum computing experience is not required • Interest in scientific applications is nice to have • Comfortable and familiar with working in a startup environment • Familiarity with cloud platforms and system design • Desired programming and technical skills include knowledge graphs and ontologies, RAG/retrieval systems, graph databases/Cypher (Neo4j), vector databases (Pinecone, Weaviate, Milvus, FAISS), agentic design patterns, data pipeline design, React, Supabase/PostgreSQL, GCP/Firebase, TypeScript/JavaScript, Python, and AI-assisted development tools such as Claude Code, Codex, and Cursor

🏖️ Avantages

• Opportunity for meaningful ownership • High level of ownership in the role • Experimentation with emerging technologies and application of new approaches • Remote work in the United States

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