Mid-Level AI Data Engineer – Generative AI Data Integration
⚲ Krakow
27 720 - 33 600 PLN netto (B2B)
Wymagania
- Microservices architecture
- Data Engineering
- Azure Cloud
- fastapi
- vector databases
- RAG systems
- Python
- PostgreSQL
- MongoDB
- Google Cloud Platform
Opis stanowiska
Ignite Innovation in Generative AI — shape the future of data-driven experiences!
Krakow-based opportunity with hybrid work model.As a Mid-Level AI Data Engineer – Generative AI Data Integration, you will be working for our client, a leading tech organization dedicated to delivering cutting-edge Generative AI solutions. Your role will focus on enhancing data utilization, unlocking new insights, and powering innovative AI-driven decisions that transform business processes. Join us and be part of a pioneering team shaping the next era of AI technology.
Your main responsibilities:
• Develop data sources for agents sourcing data from various systems used by GenAI models.
• Create robust data transfer pipelines to ensure seamless data flow.
• Design and implement microservices synchronized with overall GenAI solutions.
• Collaborate with cross-functional teams to optimize data integration and model performance.
• Maintain and enhance databases including MongoDB, Vector stores, Hadoop, and others.
• Enable data virtualisation and manage cloud platform integrations on Google Cloud Platform and Azure Cloud.
You're ideal for this role if you have:
• Minimum of 3 years of experience in data engineering or related fields.
• Proficiency with Python (FastAPI) and microservices architecture.
• Experience with databases such as MongoDB, PostgreSQL, GCP BigQuery, and Vector stores.
• Familiarity with cloud platforms: Google Cloud Platform and Azure Cloud.
• Knowledge of Google ADK, Memory stores, RAGs, Context Engineering, and Evaluation systems.
It is a strong plus if you have: (optional)
• Certification in cloud engineering or data architecture.
• Experience with Hadoop or Starburst (Data Virtualization).
Language required for the role:
• Communicative English (fluent written and spoken).
Eligibility for the role:
• Only candidates with an existing legal right to work in the European Union will be considered for this role.
• 3 remote days per week are permitted.
#MAKEYourCareerBETTER
Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.
Krakow-based opportunity with hybrid work model.As a Mid-Level AI Data Engineer – Generative AI Data Integration, you will be working for our client, a leading tech organization dedicated to delivering cutting-edge Generative AI solutions. Your role will focus on enhancing data utilization, unlocking new insights, and powering innovative AI-driven decisions that transform business processes. Join us and be part of a pioneering team shaping the next era of AI technology.
Your main responsibilities:
• Develop data sources for agents sourcing data from various systems used by GenAI models.
• Create robust data transfer pipelines to ensure seamless data flow.
• Design and implement microservices synchronized with overall GenAI solutions.
• Collaborate with cross-functional teams to optimize data integration and model performance.
• Maintain and enhance databases including MongoDB, Vector stores, Hadoop, and others.
• Enable data virtualisation and manage cloud platform integrations on Google Cloud Platform and Azure Cloud.
You're ideal for this role if you have:
• Minimum of 3 years of experience in data engineering or related fields.
• Proficiency with Python (FastAPI) and microservices architecture.
• Experience with databases such as MongoDB, PostgreSQL, GCP BigQuery, and Vector stores.
• Familiarity with cloud platforms: Google Cloud Platform and Azure Cloud.
• Knowledge of Google ADK, Memory stores, RAGs, Context Engineering, and Evaluation systems.
It is a strong plus if you have: (optional)
• Certification in cloud engineering or data architecture.
• Experience with Hadoop or Starburst (Data Virtualization).
Language required for the role:
• Communicative English (fluent written and spoken).
Eligibility for the role:
• Only candidates with an existing legal right to work in the European Union will be considered for this role.
• 3 remote days per week are permitted.
#MAKEYourCareerBETTER
Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.
🔍 Dekoder Ogłoszenia
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Ignite Innovation in Generative AI — shape the future of data-driven experiences!
Bardzo ogólny i marketingowy wstęp, który nie precyzuje konkretnych zadań ani technologii.
🔴
leading tech organization dedicated to delivering cutting-edge Generative AI solutions
Może oznaczać zarówno firmę faktycznie będącą liderem, jak i po prostu aspirującą do tego miana.
🔴
enhancing data utilization, unlocking new insights, and powering innovative AI-driven decisions that transform business processes
Frazy te są bardzo ogólne i mogą oznaczać szeroki zakres działań, od prostego raportowania po zaawansowane modele.
🔴
Develop data sources for agents sourcing data from various systems used by GenAI models.
Nie jest jasne, czy chodzi o tworzenie od podstaw nowych źródeł danych, czy o integrację istniejących.
🔴
Maintain and enhance databases including MongoDB, Vector stores, Hadoop, and others.
Określenie 'and others' sugeruje, że lista nie jest wyczerpująca i może pojawić się konieczność pracy z innymi, nieokreślonymi technologiami.