Senior Full Stack Engineer
# Senior Full Stack Engineer **Recruitment ROAD HR** · United States · `Remote` · `Full Time` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Full-Stack-Engineer]` `[Senior-Fullstack-Developer]` `[Software-Engineer]` `[Backend-Engineer]` `[AI-Engineer]` `[Senior-Full-Stack-Engineering]` `[Senior-Full-Stack-Development]` `[¿Senior-Fullstack-Engineering]` `[Senior-Full-Stack-Engineer-(React-Node.Js)]` `[Senior-Fullstack-+-DevOps-Engineer]` `[Senior-Frontend-Full-Stack-Engineer]` --- ### About the Role We are a consumer AI studio, which has shipped and grown multiple products in the past to millions of users. We are currently looking for a Senior Engineering lead to join our team for our next platform around AI Agents. Requirements: - You have experience in end to end application development - full stack development, front end, backend, infrastructure and ops across multiple stacks (Typescript, Javascript, MERN) - You have shipped products and worked with product teams towards design, UX - You are hands on and write robust code - You have some understanding of AI agent systems - You have good working proficiency in English, especially written - You have extraordinary problem solving skills, particularly in debugging complex multi-agent interactions and emergent behaviors Bonus: - You are a graduate of a top tier university - You have worked on a well known product - Strong proficiency in programming languages such as JavaScript, Go, and Rust. - Demonstrable skills in both Backend and Frontend development at large scale, such as React, Tailwind, Node, Redis, MongoDB, and Docker - Strong proficiency in AWS cloud infrastructure at scale, with Demonstrable skills in cost management. - Strong proficiency in AI LLM Inference, and AI Model fine-tuning. - You have deep experience building and scaling AI agent infrastructure, including: - Multi-agent orchestration systems and workflow management - Agent reasoning frameworks, decision trees, and planning algorithms - Tool integration architectures and function calling systems - Agent memory management, context persistence, and state handling - Real-time agent coordination and communication protocols - You have experience in AI training, fine-tuning inference and deployment - personal projects count - You have built or contributed to open-source agent frameworks, LLM orchestration tools, or autonomous system libraries - You have experience with reinforcement learning, particularly in multi-agent environments - You understand the theoretical foundations of agent architectures (ReAct, Chain-of-Thought, Tree of Thoughts, etc.) - You have a network of highly talented engineers and can grow into a leadership role - You are strongly opinionated about the future of technology. You are not just an executor but have an independent vision Benefits: - Paid Time Off (Vacation, Sick & Public Holidays) - Family Leave (Maternity, Paternity) - Work From Home - Stock Option Plan No visa sponsorship. Originally posted on Himalayas
- Full-Stack-Engineer
- Senior-Fullstack-Developer
- Software-Engineer
- Backend-Engineer
- AI-Engineer
- Senior-Full-Stack-Engineering
- Senior-Full-Stack-Development
- ¿Senior-Fullstack-Engineering
- Senior-Full-Stack-Engineer-(React-Node.Js)
- Senior-Fullstack-+-DevOps-Engineer
- Senior-Frontend-Full-Stack-Engineer
Наблюдалась 2026-10-16, впервые 2026-10-16, источник — Himalayas (JSON API).