4 дня назад
Backend Engineer, AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Backend Engineer, AI (Python/Node.js/PyTorch): Building and operating production inference and orchestration systems that power AI interactions through fast, stable, observable APIs with an accent on reliability, latency, throughput, and cost. Focus on designing model-serving pipelines, optimizing caching, batching, and streaming, and debugging distributed systems under production load.
Location: Remote from Portugal
Company
is building proactive AI-native applications that help people manage conversations, errands, organisation, and workflows with minimal prompting.
What you will do
- Build and operate backend systems serving AI-powered features in production.
- Design inference pipelines, model orchestration layers, and service boundaries.
- Develop fast, stable, and observable APIs for mobile and desktop clients.
- Own monitoring, logging, alerting, and incident response for production systems.
- Optimize latency and throughput across inference, caching, batching, and streaming.
Requirements
- Strong backend engineering fundamentals in production environments.
- Experience running high-throughput, low-latency services.
- Familiarity with AI inference patterns, including LLMs, embeddings, and multimodal models.
- Ability to debug distributed systems under load.
- Experience with Python, Node.js, PyTorch, SQL, NoSQL, Kubernetes, and Docker.
Culture & Benefits
- Work with a small, high-talent-density, hands-on team.
- Make decisions collectively while moving quickly and maintaining high-quality standards.
- Exercise judgment, bring structure, and execute independently.
- Virtual meetings and/or onsite interviews are available.
- Prompt decisions are expected after the interview process.
Hiring process
- Complete three, and no more than four, interviews if selected for further consideration.
- Interviews are conducted by technical team members through virtual meetings and/or onsite sessions.
- Applications are evaluated by the technical team, followed by a prompt decision.
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