{"schemaVersion":"jobsearcher.job.v1","id":"44d453ce00a5a29d9a3b98d2","url":"https://jobsearcher.com/jobs/44d453ce00a5a29d9a3b98d2","canonicalUrl":"https://jobsearcher.com/jobs/44d453ce00a5a29d9a3b98d2","title":"Senior Full Stack AI Engineer","description":"Responsibilities • Design, develop, and enhance LLM-powered AI agents for automated issue triage and root cause analysis. • Build and deliver full-stack features using Python (FastAPI) and modern JavaScript frameworks. • Integrate manufacturing and operational data sources into AI workflows to improve diagnostics and recommendations. • Design prompts, tools, and evaluation methods to improve LLM accuracy and performance. • Collaborate with software engineers, AI/ML engineers, and cross-functional teams to deliver scalable solutions. • Develop REST APIs, asynchronous services, and data integration pipelines. • Write clean, maintainable, and production-quality code while contributing to an existing codebase. Required Qualifications • Strong experience with Python and FastAPI, including REST APIs, asynchronous programming, and backend services. • Full-stack development experience with modern JavaScript frameworks such as React, Vue.js, or similar. • Experience building LLM-powered applications or AI agents, including prompt engineering, tool integration, structured outputs, and evaluation. • Experience integrating multiple data sources through APIs and data pipelines. • Ability to quickly understand and contribute to an existing production codebase. • Strong software engineering fundamentals with experience delivering production-ready applications. Preferred Qualifications • Experience working with large monorepos or build systems such as Bazel. • Background supporting manufacturing, hardware, production testing, or industrial systems. • Experience with vector databases, embeddings, retrieval-augmented generation (RAG), log analysis, or ticket analysis. • Familiarity with Databricks, AWS, GCP, CI/CD pipelines, and observability tools.","company":"Intone Networks","rawCompany":"intone networks","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-03T19:34:48.638Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Full Stack AI Engineer","description":"Responsibilities • Design, develop, and enhance LLM-powered AI agents for automated issue triage and root cause analysis. • Build and deliver full-stack features using Python (FastAPI) and modern JavaScript frameworks. • Integrate manufacturing and operational data sources into AI workflows to improve diagnostics and recommendations. • Design prompts, tools, and evaluation methods to improve LLM accuracy and performance. • Collaborate with software engineers, AI/ML engineers, and cross-functional teams to deliver scalable solutions. • Develop REST APIs, asynchronous services, and data integration pipelines. • Write clean, maintainable, and production-quality code while contributing to an existing codebase. Required Qualifications • Strong experience with Python and FastAPI, including REST APIs, asynchronous programming, and backend services. • Full-stack development experience with modern JavaScript frameworks such as React, Vue.js, or similar. • Experience building LLM-powered applications or AI agents, including prompt engineering, tool integration, structured outputs, and evaluation. • Experience integrating multiple data sources through APIs and data pipelines. • Ability to quickly understand and contribute to an existing production codebase. • Strong software engineering fundamentals with experience delivering production-ready applications. Preferred Qualifications • Experience working with large monorepos or build systems such as Bazel. • Background supporting manufacturing, hardware, production testing, or industrial systems. • Experience with vector databases, embeddings, retrieval-augmented generation (RAG), log analysis, or ticket analysis. • Familiarity with Databricks, AWS, GCP, CI/CD pipelines, and observability tools.","datePosted":"2026-08-03T19:34:48.638Z","dateModified":"2026-08-03T19:34:48.638Z","hiringOrganization":{"@type":"Organization","name":"Intone Networks","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"44d453ce00a5a29d9a3b98d2"},"url":"https://jobsearcher.com/jobs/44d453ce00a5a29d9a3b98d2"}}