3 дня назад
Senior Java/Spring Backend Engineer (Synthetic Data/AI Team)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Java/Spring Backend Engineer (Synthetic Data/AI): Building integrations, APIs, and ingestion pipelines that connect the Synthetic Data Platform with Cint Exchange and third-party survey platforms with an accent on data normalization, consent, privacy, and production reliability. Focus on designing scalable services, operating high-throughput integration surfaces, and collaborating with AI/ML engineers to deliver synthetic data products.
Location: Prague, Czechia preferred; remote work is possible from Spain or the UK.
Company
is a research technology company operating a large programmatic marketplace that connects survey data with business and advertising research.
What you will do
- Design and build services and APIs connecting the Synthetic Data Platform to the Exchange.
- Develop production integrations with third-party survey hosting platforms, from initial API calls through reliable customer-facing connectors.
- Build ingestion pipelines that normalize questionnaires and response data for AI/ML models.
- Maintain data quality, consent, privacy, throughput, latency, cost, monitoring, and reliability across integration surfaces.
- Collaborate with AI/ML engineers, data scientists, and the product manager on the Synthetic Data roadmap and customer pilots.
- Use Claude Code and other agentic programming tools where appropriate.
Requirements
- 3+ years of professional backend software development experience, preferably with Java.
- Strong knowledge of data structures and algorithms, with excellent problem-solving and analytical skills.
- Experience building and operating production services, APIs, and data pipelines at scale.
- Familiarity with SQL and proven experience as a software developer.
- Ability to take ownership of technical conclusions, present them, and shape outcomes.
- Prague is the preferred base; remote work is available from Spain or the UK.
Nice to have
- AWS, Kubernetes, Spring, Kafka, or Kinesis experience.
- Knowledge of Databricks.
- Exposure to AI/ML development, model libraries such as XGBoost, LightGBM, or CatBoost, or LLMs.
Culture & Benefits
- High autonomy and end-to-end ownership of engineering work.
- AI-native engineering with daily use of Claude Code and modern agentic tooling.
- Collaboration across AI/ML, data science, product, and international teams.
- Office access in Prague with a laptop, accessories, and a height-adjustable desk.
- 25 days of vacation, unlimited sick days, pension fund contributions, and Edenred meal vouchers.
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