TL;DR
Backend Engineer (GraphQL, BigQuery, AI): Architecting and scaling the systems that fuel AI products, powering LLM agents and customer intelligence dashboards with an accent on GraphQL APIs, large datasets (BigQuery), and backend development in JavaScript/TypeScript (Node.js) and Python. Focus on building infrastructure for data ingestion, enrichment, and delivery across internal and customer-facing tools, optimizing performance and scalability of backend systems, and collaborating on architectural decisions.
Location: Remote from US, Brazil, United Kingdom, or United States; or Hybrid in San Francisco or London; open to exceptional candidates anywhere.
Company
hirify.global is redefining how companies access and act on intelligence, centralizing internal and external data, enriching it with insights, and powering AI agents for better business decisions.
What you will do
- Design, build, and optimize GraphQL APIs that power real-time, data-rich interfaces.
- Work across the data platform, ingesting, transforming, and querying massive datasets (primarily in BigQuery).
- Develop backend systems in JavaScript/TypeScript (Node.js) with Python components as needed.
- Partner closely with frontend, AI, and product teams to support weekly sprint cycles and deliver new features quickly.
- Build infrastructure for data ingestion, enrichment, and delivery across internal and customer-facing tools.
- Optimize performance and scalability of backend systems and collaborate on architectural decisions and shape engineering best practices.
Requirements
- 5+ years of backend development experience, ideally in fast-paced product environments.
- Proficiency in GraphQL, BigQuery, and JavaScript/TypeScript (Node.js).
- Comfortable working with structured and unstructured data, knowing how to make data useful and fast.
- Experience building APIs and services that are performant, secure, and scalable.
- Familiarity with Python, especially for data manipulation or integration tasks.
- Strong collaboration skills and a bias for shipping, coupled with a startup mindset.
Nice to have
- Experience integrating with LLM or agent-based systems.
- Built systems for sales intelligence, customer data platforms, or internal tools.
- Familiarity with cloud infra (GCP/AWS), observability tools, and CI/CD workflows.
- Comfort owning data pipelines end-to-end, from ingestion to query optimization.
- Open-source contributions or personal backend/data projects.
Culture & Benefits
- Run on weekly sprints, short feedback loops, and a tight-knit, collaborative culture.
- Ship quickly, iterate constantly, and work across the stack to unblock teams and deliver outcomes.
- Autonomy, speed, and clarity are core to how hirify.global operates.
- Help define the backend that powers one of the world’s most ambitious AI business platforms.
- Work with large, complex datasets, modern tooling, and a team focused on solving meaningful problems.
- Unlimited holiday.
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