1 день назад
Backend Developer (AI Data Collection and Infrastructure)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Backend Developer (AI Data Collection and Infrastructure): Building and operating the data collection and ingestion infrastructure behind SEO, AI visibility, and search data products with an accent on large-scale web data pipelines, time-series storage, and production reliability. Focus on adding new search surfaces, tuning analytical queries, debugging network and service performance, and growing from scoped changes into end-to-end service ownership.
Location: On-site in central Aarhus, Denmark; hybrid options are planned for later this year.
Company
builds SEO analytics, AI visibility tracking, and search data API products powered by large-scale data collection infrastructure.
What you will do
- Build and operate the collection and ingestion pipeline processing billions of rows, web requests, background jobs, and analytical queries.
- Add coverage for new search surfaces and maintain existing collectors as external platforms change.
- Write and optimize queries across columnar and relational data stores.
- Make scoped changes to existing services and gradually own services from design through deployment and production operation.
- Work on AI agents, tool design, and data collection challenges across , AccuLLM, and AccuSERP.
Requirements
- Strong programming fundamentals and the ability to reason about runtime costs.
- Experience with code running in a real production system, hosted service, or user-facing side project.
- Comfort working in Linux, reading logs, tracing requests, and investigating performance issues.
- Ownership of problems from investigation through implementation and follow-up.
- Ability to work on-site in Aarhus.
Nice to have
- Distributed systems fundamentals, including queues, workers, and backpressure.
- Python and frameworks or tools such as Django, Celery, pandas, or polars.
- ClickHouse or another columnar database.
- Networking, web scraping, browser automation, AI agents, or Kafka experience.
Culture & Benefits
- End-to-end ownership of services rather than ticket-based work.
- Frequent releases, with changes sometimes moving from idea to production the same day.
- Collaborative design discussions focused on correctness, cost, latency, and maintainability.
- Flexible working hours, pension, health insurance, and paid parental leave.
- Choice of hardware, catered lunch, fruit, refreshments, and a central office.
Hiring process
- Apply with a CV and short note in Danish or English.
- Applications are reviewed as they arrive, with hiring taking place once a suitable candidate is found.
- A link to something built by the candidate is highly valued.
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