2 дня назад
Staff and Principal Software Engineers (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff and Principal Software Engineers (AI) (Python/Kubernetes/Postgres): Define and evolve the architecture of a data transformation and retrieval platform for LLM applications, with an accent on distributed systems, infrastructure reliability, and high-performance data pipelines. Focus on designing scalable Kubernetes platforms, optimizing Python services and Postgres workloads, and building production-grade retrieval, embeddings, and RAG systems.
Location: Remote. Preferred locations include San Francisco, the Bay Area, San Jose, Seattle, and Sacramento.
Company
builds open-source and enterprise data transformation infrastructure that converts documents and other content into AI-ready data pipelines for LLM and generative AI applications.
What you will do
- Define and evolve the end-to-end architecture for the data transformation and retrieval platform.
- Build and scale distributed systems processing large volumes of data across multiple formats and sources.
- Own Kubernetes orchestration, cluster design, performance tuning, and reliability practices across the company.
- Lead Python architecture and best practices for performant, modular, and maintainable services.
- Design and optimize Postgres schemas, queries, partitioning, and indexing strategies for metadata and retrieval pipelines.
- Mentor senior engineers, lead design reviews, and guide the transition of research prototypes into production systems.
Requirements
- 10+ years of software engineering experience focused on distributed systems, infrastructure, or data architecture.
- Expert-level Python experience, including building frameworks and performance-critical services.
- Deep Kubernetes expertise, including designing, deploying, debugging, and securely productionizing clusters at scale.
- Advanced Postgres knowledge, including query planning, partitioning, and high-throughput performance tuning.
- Experience with high-performance data or AI/ML systems, particularly retrieval pipelines, embeddings, or hybrid workloads.
- Ability to lead architecture and design decisions in fast-moving, ambiguous environments.
Nice to have
- Experience building or scaling production LLM-powered or RAG systems.
- Familiarity with open-source orchestration frameworks, vector databases, or hybrid cloud infrastructure.
- Open-source contributions in Python, Kubernetes, or distributed systems.
Culture & Benefits
- Collaborative environment with low-ego colleagues and a focus on technical excellence.
- Medical, dental, and vision coverage effective from the first month following the start date.
- Life and disability insurance, unlimited PTO, and flexible parental leave.
- 401(k) with company match, equity, a $500 work-from-home stipend, and $70 monthly internet reimbursement.
- Company and team offsites, technical equipment, and work-from-home support.
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