Senior Data Engineer (AI/GCP)
⚲ Katowice
Do uzgodnienia
Wymagania
- Google Gemini
- Anthropic
- Google Cloud Platform
- LangChain
- Langfuse
Opis stanowiska
Nasze wymagania:
The ideal candidate brings a multidisciplinary technical background in:
• Generative AI / LLM: Practical knowledge of LLM models, particularly Google Gemini and Anthropic, including configuration and integration with backend systems.
• Agentic AI: Experience in designing and building AI agents, with familiarity in tools such as Google Agent Development Kit (ADK) or equivalent frameworks (e.g., LangChain).
• Google Cloud Platform (GCP): Hands-on experience with Vertex AI, Cloud Run, and Cloud Functions, and integrating cloud-native services into production solutions.
• Prompt Engineering: Proven experience in designing, optimizing, and testing prompts for business applications (minimum 2 years).
• Guardrails and AI Security: Implementing control mechanisms for AI systems, including input/output validation, hallucination mitigation, and ensuring solution security. Familiarity with quality control tools (e.g., Langfuse).
• Testing and Operations: Experience in testing the quality and stability of LLM-based solutions, basic knowledge of LLMOps/MLOps, and practical experience with monitoring tools (e.g., Langfuse, cloud solutions, AgentCore).
The ideal candidate will have:
• Experience in Generative AI, LLM, or related fields
• Fluency in English (minimum B2/communicative level) and Polish (min. B2)
• Solid understanding of LLM architecture, AI agent development, and cloud-native integrations
• Proficiency in prompt engineering, AI security, and operational monitoring
• Experience with Google Cloud Platform (GCP), Vertex AI, Cloud Run, and Cloud Functions
• Knowledge of LLMOps/MLOps, Langfuse, and AgentCore
O projekcie:
We seek a Senior Data Engineer (AI/GCP) with strong expertise in designing and implementing cutting-edge solutions based on Generative AI and LLM models in the Google Cloud environment.
Zakres obowiązków:
Designing and developing GenAI solutions using models like Google Gemini and Anthropic, tailored to specific business use cases.
Building and evolving AI agents to automate actions and support business processes.
Integrating AI models with backend systems, APIs, and enterprise applications.
Creating and optimizing prompts and usage scenarios to enhance model response quality.
Analyzing and improving the quality, relevance, and stability of LLM outputs.
Implementing security and control mechanisms, including input/output validation, hallucination reduction, and compliance with security regulations.
Working in the Google Cloud Platform environment, particularly with services like Vertex AI, Cloud Run, and Cloud Functions.
Developing LLMOps/MLOps approaches, including monitoring model performance in production.
Utilizing tools for AI monitoring and analysis (e.g., Langfuse).
Testing, debugging, and optimizing LLM-based solutions.
Oferujemy:
We offer a full-time employment contract
Location: Poland; work model: Remote/ occasional visits in Katowice
Stable and long-term cooperation
Well-defined career path at the European leader in engineering & IT consulting
Opportunity to relocate and work in different ALTEN Polska branches
After completion of the project, opportunity to engage in a subsequent one within the company
Introduction and cooperation with dedicated Competences Manager
We also offer cooperation based on a B2B or Contract of mandate (UZ).
We also guarantee:
Access to professional certifications with our technology partners (e.g. Google, ISTQB)
Access to relevant industry events
Access to the Knowledge Sharing Program
Access to Referral program
The ideal candidate brings a multidisciplinary technical background in:
• Generative AI / LLM: Practical knowledge of LLM models, particularly Google Gemini and Anthropic, including configuration and integration with backend systems.
• Agentic AI: Experience in designing and building AI agents, with familiarity in tools such as Google Agent Development Kit (ADK) or equivalent frameworks (e.g., LangChain).
• Google Cloud Platform (GCP): Hands-on experience with Vertex AI, Cloud Run, and Cloud Functions, and integrating cloud-native services into production solutions.
• Prompt Engineering: Proven experience in designing, optimizing, and testing prompts for business applications (minimum 2 years).
• Guardrails and AI Security: Implementing control mechanisms for AI systems, including input/output validation, hallucination mitigation, and ensuring solution security. Familiarity with quality control tools (e.g., Langfuse).
• Testing and Operations: Experience in testing the quality and stability of LLM-based solutions, basic knowledge of LLMOps/MLOps, and practical experience with monitoring tools (e.g., Langfuse, cloud solutions, AgentCore).
The ideal candidate will have:
• Experience in Generative AI, LLM, or related fields
• Fluency in English (minimum B2/communicative level) and Polish (min. B2)
• Solid understanding of LLM architecture, AI agent development, and cloud-native integrations
• Proficiency in prompt engineering, AI security, and operational monitoring
• Experience with Google Cloud Platform (GCP), Vertex AI, Cloud Run, and Cloud Functions
• Knowledge of LLMOps/MLOps, Langfuse, and AgentCore
O projekcie:
We seek a Senior Data Engineer (AI/GCP) with strong expertise in designing and implementing cutting-edge solutions based on Generative AI and LLM models in the Google Cloud environment.
Zakres obowiązków:
Designing and developing GenAI solutions using models like Google Gemini and Anthropic, tailored to specific business use cases.
Building and evolving AI agents to automate actions and support business processes.
Integrating AI models with backend systems, APIs, and enterprise applications.
Creating and optimizing prompts and usage scenarios to enhance model response quality.
Analyzing and improving the quality, relevance, and stability of LLM outputs.
Implementing security and control mechanisms, including input/output validation, hallucination reduction, and compliance with security regulations.
Working in the Google Cloud Platform environment, particularly with services like Vertex AI, Cloud Run, and Cloud Functions.
Developing LLMOps/MLOps approaches, including monitoring model performance in production.
Utilizing tools for AI monitoring and analysis (e.g., Langfuse).
Testing, debugging, and optimizing LLM-based solutions.
Oferujemy:
We offer a full-time employment contract
Location: Poland; work model: Remote/ occasional visits in Katowice
Stable and long-term cooperation
Well-defined career path at the European leader in engineering & IT consulting
Opportunity to relocate and work in different ALTEN Polska branches
After completion of the project, opportunity to engage in a subsequent one within the company
Introduction and cooperation with dedicated Competences Manager
We also offer cooperation based on a B2B or Contract of mandate (UZ).
We also guarantee:
Access to professional certifications with our technology partners (e.g. Google, ISTQB)
Access to relevant industry events
Access to the Knowledge Sharing Program
Access to Referral program
🔍 Dekoder Ogłoszenia
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Practical knowledge of LLM models, particularly Google Gemini and Anthropic, including configuration and integration with backend systems.
Może oznaczać zarówno głębokie zrozumienie, jak i jedynie powierzchowne zapoznanie się z narzędziami.
🔴
Experience in designing and building AI agents, with familiarity in tools such as Google Agent Development Kit (ADK) or equivalent frameworks (e.g., LangChain).
Familiarity może oznaczać użycie narzędzia raz lub dwa razy, a niekoniecznie samodzielne budowanie złożonych agentów.
🔴
Proven experience in designing, optimizing, and testing prompts for business applications (minimum 2 years).
Dwa lata doświadczenia w prompt engineeringu mogą być trudne do udowodnienia, jeśli nie były to dedykowane projekty.
🔴
Basic knowledge of LLMOps/MLOps
Może oznaczać bardzo podstawowe pojęcie o procesach, a nie faktyczne doświadczenie w ich wdrażaniu.
🔴
Fluency in English (minimum B2/communicative level) and Polish (min. B2)
Poziom B2 może być subiektywnie oceniany przez rekrutera, a 'komunikatywny' jest jeszcze bardziej nieprecyzyjny.