4 дня назад
Software Engineer, Platform (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer, Platform (AI): Building foundational data platforms, cloud infrastructure, orchestration systems, and developer tooling for AI products with an accent on distributed systems, scalable data platforms, and agentic experiences. Focus on designing reliable platform architecture, building RAG and long-running agent orchestration systems, and improving software development, testing, and deployment workflows.
Location: Not specified
Company
Scale AI develops reliable AI systems, high-quality data, and full-stack technologies for enterprises, governments, and leading AI models.
What you will do
- Design and implement foundational platforms and systems used across Scale.
- Build data platforms, lifecycle systems, cloud infrastructure, and orchestration capabilities.
- Collaborate with cross-functional teams to define requirements and deliver features iteratively.
- Experiment with AI techniques and technologies, including agentic experiences.
- Improve programming practices, development processes, and engineering tools.
- Present technical concepts and provide guidance on development processes and technologies.
Requirements
- 5+ years of post-graduation, full-time engineering experience with a focus on back-end systems.
- Experience designing highly scalable and reliable distributed systems on public cloud platforms.
- Experience building document retrieval and understanding systems such as RAG.
- Fluency with Kubernetes, Terraform, Docker, and other containerization and deployment technologies.
- Experience with long-running agent and code orchestration platforms such as Temporal, structured databases including Postgres, and CI/CD tooling such as CircleCI or GitHub Actions.
- Strong ownership, communication, collaboration, and ability to explain complex technical concepts to non-technical stakeholders.
Nice to have
- Experience with multiple cloud platforms, including GCP, AWS, Azure, Oracle, or on-premise environments.
- Experience with knowledge graphs, hierarchical indexes, Databricks, Snowflake, or authentication and authorization systems.
- Experience scaling technical products at hyper-growth startups.
Culture & Benefits
- Work on AI systems supporting important decisions and advanced generative AI applications.
- Collaborate with enterprises, governments, startups, and leading technology companies.
- Inclusive and equal opportunity workplace with reasonable accommodations available during the application process.
Hiring process
- A 90-day waiting period applies before reconsideration for the same role.
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