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Open nowPosted 208 days ago

HSBCJP00057036 Poland_Specialist Engineering GCB_5_AI

antalpl1,057 open roles

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Your applicationOpen nowHSBCJP00057036 Poland_Specialist Engineering GCB_5_AIantalpl

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on antalpl's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. antalpl postings stay open a median of 2 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 208 days ago

antalpl median: 2 days open

The posting

Senior AI / Data Integration Engineer (GenAI)

  • Model pracy: hybrydowy (2 dni w tygodniu z biura w Krakowie)
  • Forma współpracy: B2B
  • Stawka: 180–230 PLN/h

Dołącz do zespołu budującego nowoczesne rozwiązania oparte o Generative AI i miej realny wpływ na rozwój produktów wykorzystujących najnowsze technologie.

Szukamy osoby, która pomoże rozwijać warstwę integracji danych dla systemów AI – od pipeline’ów danych, przez mikroserwisy, aż po integrację z modelami LLM.

Twoja rola

  • Tworzenie i rozwój agentów AI pozyskujących dane z różnych systemów
  • Budowa i utrzymanie pipeline’ów do transferu i przetwarzania danych
  • Projektowanie i rozwój mikroserwisów wspierających rozwiązania GenAI
  • Integracja danych z modelami LLM (RAG, context engineering, evaluation)
  • Współpraca z zespołami AI, Data i Engineering przy budowie end-to-end rozwiązań
  • Optymalizacja przepływu danych i wydajności systemów

Stack technologiczny

  • Python (FastAPI), mikroserwisy
  • MongoDB, PostgreSQL, Vector DB
  • Hadoop, Starburst (data virtualization)
  • GCP (BigQuery), Azure
  • RAG, memory stores, evaluation systems

Wymagania

  • Doświadczenie w pracy z Pythonem (backend / data / AI)
  • Praktyczna znajomość budowy pipeline’ów danych (ETL / streaming)
  • Doświadczenie z mikroserwisami i architekturą rozproszoną
  • Znajomość rozwiązań GenAI (RAG, LLM, vector search)
  • Doświadczenie z chmurą (GCP i/lub Azure)
  • Znajomość baz danych (SQL + NoSQL)
  • Umiejętność pracy z API i integracji systemów
  • Dobre umiejętności komunikacyjne i pracy zespołowej

Mile widziane

  • Doświadczenie z BigQuery / Hadoop / Starburst
  • Znajomość narzędzi do orkiestracji danych (np. Airflow, Prefect)
  • Doświadczenie z systemami AI/ML w środowisku produkcyjnym
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