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Чётко описанная senior-роль сочетает развитие production SaaS-платформы с практической работой в сфере AI-безопасности, давая сильную предметную и техническую глубину.
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На переднем крае AIАктуальный стекШирокая ответственностьРабота в офисе
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Full-Stack Engineer (AI): Building and owning AgenticVerse, a production-grade SaaS platform for authoring, running, and reviewing reinforcement-learning environments, alongside digital twins of real products with an accent on TypeScript, React, Python, APIs, data models, and cloud infrastructure. Focus on designing agent-verifiable application events, production reliability, access control, observability, and complex researcher workflows.
Builds trust, safety, and security solutions for AI systems, including model evaluations, red-teaming, runtime guardrails, and drift detection.
What you will do
Own the AgenticVerse SaaS application across frontend, backend, data models, and APIs.
Build researcher workflows for authoring tasks, launching runs, managing gyms, and reviewing results.
Present traces, verifier results, and agent failures clearly while maintaining performance, reliability, access control, and observability.
Take features from design through production and collaborate directly with researchers.
Build digital twins of real products, including their UIs, API backends, and persistent state.
Expose agent actions as events that verifiers can grade.
Requirements
6+ years of full-stack engineering experience building production SaaS applications.
BSc in Computer Science or a related field, preferably from a leading university.
Strong TypeScript and React skills, plus experience with a backend language; Python is preferred.
Experience designing APIs and data models for multi-user applications.
Production experience with Docker and cloud infrastructure; AWS is preferred.
High autonomy in undefined spaces, with the ability to turn loose problems into working code.
Fluent written and spoken English.
Nice to have
Hands-on AI engineering with LLMs, agents, or evaluations.
Experience building developer tools or internal platforms.
Experience with Kubernetes.
Background in security, red teaming, or trust and safety.
Culture & Benefits
Work on AI trust, safety, and security products used by frontier model labs, enterprises, and user-generated-content platforms.
Develop AgenticVerse, a production-grade platform used by a growing community of researchers.
Build adversarial environments that test and train capable AI agents.
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