Artos AI

United States
21 Total Employees
Year Founded: 2023

Jobs at Artos AI

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Recently posted jobs

23 Days AgoSaved
Hybrid
San Francisco, CA, USA
Artificial Intelligence • Software • Biotech • Generative AI
Own technical relationships with major enterprise customers, leading architecture discovery, integration and deployment planning, technical initiatives, and solution expansion. Advise customers on APIs, authentication, networking, data flows, and distributed systems while coordinating Engineering, Product, Customer Success, IT, Security, and Infrastructure teams. Establish repeatable enterprise deployment practices and help scale the Solutions Architecture function.
One Month AgoSaved
Hybrid
San Francisco, CA, USA
Artificial Intelligence • Software • Biotech • Generative AI
Build and own full-stack product features for an AI-powered biopharma documentation platform. Develop React and TypeScript interfaces, backend services, APIs, data models, and production deployments. Design scalable systems for complex enterprise workflows, create AI-native scientific and regulatory content experiences, collaborate cross-functionally, and make pragmatic architectural decisions in a fast-paced startup environment.
One Month AgoSaved
Hybrid
San Francisco, CA, USA
Artificial Intelligence • Software • Biotech • Generative AI
Own the strategy, roadmap, discovery, requirements, delivery, quality testing, and adoption of AI-native products for life sciences documentation workflows. Partner with customers, engineering, AI, design, implementation, and customer success teams to build reliable, traceable, explainable products using LLMs, RAG, agents, evaluation, citations, and human review. Translate complex regulatory and scientific workflows into prioritized product plans and establish product management practices in a fast-paced startup.
2 Months AgoSaved
Hybrid
San Francisco, CA, USA
Artificial Intelligence • Software • Biotech • Generative AI
Serve as the primary technical contact for enterprise customers deploying Artos (cloud or BYOC). Install, configure, troubleshoot, and scale deployments; diagnose issues through logs, infrastructure, and code; escalate to engineering. Own customer-facing and security/compliance documentation. Collaborate with engineering, implementation, and customer success to improve product reliability and deployment experience.