18 дней назад
Software Engineer (AI/LLM)
5 400 - 8 000€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer (AI/LLM): Building scalable backend services and AI-powered real-time translation systems for customer support with an accent on production LLM integration, model evaluation, and cloud infrastructure. Focus on designing microservices, optimizing quality, latency, cost, and reliability, and operating systems handling high-volume production traffic.
Salary: €5,400–€8,000 per month
Company
builds delivery technology used across more than 500 cities and 30 countries and operates as part of DoorDash.
What you will do
- Design, build, and operate scalable backend services for real-time, customer-facing systems.
- Develop and evolve AI-powered translation capabilities using large language models in production.
- Build tooling and infrastructure to evaluate models by quality, latency, and cost.
- Collaborate with product, applied science, frontend, and platform teams to turn complex customer-support problems into robust user-facing systems.
- Shape technical decisions, system architecture, performance, reliability, and operational readiness.
- Improve development workflows by exploring modern AI-assisted tools.
Requirements
- Strong backend development skills in Python or Go.
- Experience with cloud platforms such as AWS, container orchestration with Kubernetes and Docker, observability tools such as Datadog, and SQL and NoSQL databases.
- Experience designing, building, and integrating quality microservices at scale within complex domains.
- Pragmatic problem-solving skills, a growth mindset, and comfort working with real-world data and its nuances.
- Active use of modern AI development tools such as GitHub Copilot, Claude, or ChatGPT.
Culture & Benefits
- Opportunity to work on AI and LLM use cases with real production impact.
- Work within a global engineering organization of more than 2,000 people.
- Culture centered on ownership, ambitious goals, humility, continuous learning, kindness, and fairness.
- Compensation is determined based on skills, experience, and qualifications.
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