- 经验
- 任何
- 薪水
- —
- 职位空缺
- 1
- 发布
- 6小时前
- 工作模式
- 在家办公
- 恢复
- 需要申请
职位描述
Role Overview
This opportunity is offered by a partner company based in Germany, seeking a Backend Engineer specialized in AI platforms. The role involves creating foundational backend infrastructure for cutting-edge AI-powered productivity applications.
Key Responsibilities
- Architect, build, and sustain backend systems that power AI-enhanced product features and intelligent workflows.
- Develop scalable infrastructures facilitating AI interactions such as inference pipelines and orchestration layers capable of supporting extensive usage.
- Deliver reliable API endpoints and services leveraged across multiple platforms including web, desktop, and mobile.
- Enhance system performance focusing on reducing latency, increasing throughput, and improving caching, batching, and streaming processes.
- Implement robust monitoring, logging, alerting, and observability mechanisms to uphold reliability in production environments.
- Diagnose issues within distributed systems, resolve performance challenges, and improve overall system stability.
- Work collaboratively with product, infrastructure, and AI teams to deploy high-quality features and refine system architecture continuously.
- Participate in architectural and design decisions contributing to an AI-native platform built for future scalability.
Candidate Requirements
- Extensive experience in backend engineering supporting production-ready systems.
- Proven track record in developing distributed applications characterized by high throughput and low latency.
- Expertise in Python programming; knowledge of Node.js is advantageous.
- Hands-on experience with Kubernetes and Docker for service deployment and management.
- Proficiency in managing SQL and NoSQL databases in scalable environments.
- Understanding of AI infrastructure, including familiarity with concepts like large language model inference, embeddings, and multimodal models.
- Strong grasp of backend architecture principles, API design, system reliability, and tuning performance.
- A pragmatic approach focused on delivering reliable and maintainable software solutions.
- Experience with AI platforms, agent workflows, inference optimization, or large-scale AI services is highly preferred.
- Knowledge of tools and frameworks such as PyTorch, OpenAI or Anthropic models, or open-source LLM ecosystems is a plus.
Benefits and Work Culture
- Attractive remuneration including both cash salary and equity options.
- Complete remote work flexibility with autonomy over work arrangements.
- Chance to contribute to pioneering AI infrastructure and tackle challenging technical problems.
- Direct influence on an AI-native product impacting a growing community of users.
- Collaborative environment engaging with seasoned engineers across backend, infrastructure, and AI sectors.
- Opportunities for career advancement in a dynamic, innovation-driven environment.
- A flexible, ownership-oriented culture emphasizing technical quality and continuous learning.
Additional Information
The application process is managed by a partner company dedicated to original hiring decisions including interviews and assessments. The selection leverages AI-supported screening tools to ensure fairness and speed, although final decisions rest with human recruiters. Candidates' data are treated in compliance with GDPR and other applicable laws, with transparency maintained regarding AI usage in the recruitment workflow.