Назад
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4 дня назад

Senior Backend Engineer (AI)

174 000 - 260 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Senior Backend Engineer (Python/AI): Building and scaling the data layer, integrations, and analytics infrastructure for hirify.global’s AI products with an accent on ETL connectors and RAG-powering search indices. Focus on solving distributed systems problems, optimizing hybrid search at scale, and transforming raw support data into automation recommendations.

Location: Hybrid in San Francisco, Austin, or Madison. Must be based in the USA

Salary: $174,000–$260,000

Company

Customer experience software that powers billions of conversations for global brands to simplify business complexity.

What you will do

  • Design and maintain robust platform connectors (ETL) across third-party systems, handling auth, pagination, and schema drift.
  • Scale the Discover insights engine for topic clustering, knowledge gap detection, and automation recommendations.
  • Build resilient data pipelines using real-time webhooks, incremental sync, and worker queues.
  • Optimize search indices and aggregation pipelines for full-text, vector, and hybrid search at scale.
  • Solve distributed systems challenges including multi-tenant isolation and webhook security.
  • Collaborate with ML and product teams to deliver explainable customer-facing metrics and ROI.

Requirements

  • 3+ years of professional backend engineering experience, preferably in B2B SaaS.
  • Proficiency in Python and FastAPI.
  • Production experience with MongoDB, Elasticsearch/OpenSearch, and Redis.
  • Experience designing distributed job processing systems such as Celery or RQ.
  • Location: Must be based in San Francisco, Austin, or Madison (Hybrid)

Nice to have

  • Experience with ETL orchestration tools like Dagster or Airflow and S3 storage patterns.
  • Familiarity with NLP pipelines, embeddings, or production RAG systems.
  • Expertise in multi-tenant SaaS system design and webhook security (HMAC/OAuth).
  • Prior work on analytics engines that translate metrics into product recommendations.

Culture & Benefits

  • Hybrid work model combining in-person collaboration and remote flexibility.
  • Inclusive environment focused on global diversity, equity, and inclusion.
  • Access to annual bonuses and comprehensive corporate benefits.
  • Collaboration-focused office spaces designed for connection and learning.

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