обновлено 12 дней назад
Full Stack Engineer - AI Systems
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Full Stack Engineer - AI Systems (AI/LLM): Building production-grade AI-native workflows across frontend, backend, and agent integrations with an accent on persistent context, real-world task completion, and reliable multi-step execution. Focus on designing agent planning and recovery, streaming interactions, LLM and tool integrations, and improving latency, observability, and fallback mechanisms.
Location: Remote in the United States
Company
is building proactive AI-native applications that help users manage conversations, errands, organization, and workflows with minimal prompting.
What you will do
- Build and ship end-to-end product features across frontend, backend, and AI integrations.
- Design agent workflows for planning, tool use, multi-step execution, failure handling, and recovery.
- Integrate LLMs, memory, and external tools into reliable production systems.
- Build real-time AI interactions with streaming, partial results, and low latency.
- Improve reliability, observability, fallback mechanisms, evaluation, and monitoring.
- Collaborate with ML, backend, and product teams to iterate based on real usage and failure modes.
Requirements
- Strong full stack engineering experience across frontend and backend.
- Solid understanding of system design and API architecture.
- Experience with LLMs, RAG systems, or AI-powered applications.
- Ability to make pragmatic engineering decisions in ambiguous, fast-moving environments.
- Strong ownership and ability to take features from idea through production.
- Technology experience with Next.js, Python, Node.js, PyTorch, SQL or NoSQL databases, Kubernetes, and Docker.
Culture & Benefits
- Work with a small, high-talent-density, hands-on team.
- Make decisions collectively while moving quickly and balancing quality with learning.
- Operate with structure, independent judgment, and ownership.
- Interviews are conducted through virtual meetings and/or onsite sessions.
- The hiring process includes three, and no more than four, interviews with technical team members.
- Prompt decisions are expected after the interview process.
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