5 дней назад
Backend Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Backend Engineer (AI): Building foundational infrastructure and production systems that scale enterprise AI workloads and accelerate product teams with an accent on distributed systems, database scaling, and reliable LLM infrastructure. Focus on designing APIs and data flows, tuning systems under real load, and building authentication, observability, and durable job orchestration.
Location: NYC, US; on-site
Company
is building an AI operating system that absorbs enterprise IT complexity and enables large companies to increase software delivery speed and output.
What you will do
- Build foundational platform infrastructure, shared abstractions, internal tooling, and sensible defaults that accelerate product teams.
- Design and maintain scalable production systems for enterprise reliability requirements.
- Develop infrastructure for high-throughput LLM workloads, real-time usage, and unreliable providers.
- Own architecture, developer experience, APIs, infrastructure, and data flows end to end.
- Build authentication, observability, and durable job orchestration systems that remain reliable as the company grows.
Requirements
- 3+ years of backend engineering experience with exposure to platform or infrastructure work.
- Strong system design skills and experience taking systems from MVP to production scale.
- Experience with distributed systems, PostgreSQL database scaling, queueing, and large-scale batch processing.
- Ability to benchmark and tune systems under real load and make pragmatic technical trade-offs.
- Experience or familiarity with LLM infrastructure at scale.
- Ability to take ownership, mentor others, and solve problems proactively.
Nice to have
- Experience with Kotlin and the Java ecosystem.
- Experience with Temporal, PortKey, or specialized LLM harnesses.
Culture & Benefits
- Small, talent-dense team with high ownership and low-ego collaboration.
- Broad ownership across architecture, developer experience, and production systems.
- Focus on shipping quickly without compromising engineering quality.
- Opportunity to define systems and practices at an early-stage company backed by a $60M Series A.
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