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2 дня назад

Staff and Principal Software Engineers (AI)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global builds open-source and enterprise data transformation infrastructure that converts documents and other hirify.global 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 hirify.global 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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