Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Software Engineer (AI/Fullstack): Building an endpoint AI observability platform for AI-adopting organizations with an accent on high-performance data ingestion and inference pipelines. Focus on designing distributed systems, automating engineering workflows with internal agents, and delivering scalable API and customer-facing surfaces.
Location: Remote (Must be based in the United States or Canada)
Salary: $200,000 – $360,000
Company
is building an endpoint AI observability platform designed to maximize the productivity and safety of AI adoption within organizations.
What you will do
- Ship across the entire stack, including agent development, backend services, infrastructure, and frontend interfaces.
- Build and distribute internal AI agents to automate repeatable engineering tasks.
- Design and operate distributed systems using AWS, EKS, Clickhouse, and Kafka against production SLAs.
- Define the context, permissions, and tooling required for AI-native engineering workflows.
- Drive technical decisions on storage schemas, API contracts, and multi-tenant scalability patterns.
- Collaborate with research and systems-internals engineers to productionize new software.
Requirements
- Location: Must be based in the US or Canada.
- Prolific experience with agentic coding tools such as Claude Code, Codex, and OpenCode.
- Proven track record of building data-intensive distributed systems at scale.
- Deep understanding of streaming, batching, backpressure, and consistency models.
- Strong proficiency in Rust (preferred) and Python.
- Production experience with AWS, Kubernetes (EKS), and event streaming (Kafka).
Nice to have
- Background in real-time monitoring or observability infrastructure (e.g., Datadog, Honeycomb).
- Experience with high-throughput systems like high-frequency trading or real-time telemetry.
- Knowledge of AI infrastructure, inference pipelines, or agent orchestration.
- Prior experience as a founding engineer or in early-stage startups.
- Deep OS internals knowledge (eBPF, Windows ETW, Apple ESF) or cross-platform expertise.
Culture & Benefits
- Fully remote work environment built on trust, autonomy, and excellence.
- Generous healthcare coverage.
- Flexible PTO.
- Home-office support to ensure a productive work environment.
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