Senior Data Engineer (AI/GCP)
Offer summary

(Summary generated by AI based on the full job description)

The project focuses on GenAI and LLM in Google Cloud using models like Google Gemini and Anthropic. Key technologies include Vertex AI, Cloud Run, Cloud Functions. Responsibilities cover designing and implementing GenAI solutions, building AI agents, and integrating with backend systems. Tasks include prompt optimization, LLM monitoring, security enforcement against hallucinations, and applying LLMOps. Use of tools such as Langfuse and AgentCore is highlighted.

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Senior Data Engineer (AI/GCP)

Company: ALTEN Polska

from: 26 June 2026
to: 26 July 2026
salary not specifiedB2B contract (full-time)
salary not specifiedcontract of employment
Offer parameters
level:senior
working mode:remote
location:Katowice, Silesian
Katowice, Silesian

Requirements

Expected technologies

Google Gemini
Anthropic
Google Cloud Platform

Optional technologies

LangChain
Langfuse

Operating system

Windows

Our requirements

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
  • Your responsibilities

    • 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.

    About the project

    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.

    This is how we work on a project

    • documentation
    • issue tracking tools
    • testing environments
    NOTICE: We kindly inform you that we will contact the selected candidates.
    Company

    What we offer

    • 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

    Benefits

    • life insurance
    • retirement pension plan
    • baby layette
    • employee referral program
    • Medicover medical care
    • Medicover dental care
    • Medicover Benefits platform
    • Medicover Sport card

    ALTEN Polska

    WHO ARE WE?
    WE ARE A WORLD LEADER IN ENGINEERING AND IT SERVICES.
    At ALTEN, we see our specialists as architects – today’s designers of tomorrow’s world.
    As a leader in Engineering and IT Services, we support companies in their technological and sustainable transformation.
    OVER 57,400 EMPLOYEES IN 30+ COUNTRIES, TO SUPPORT MORE THAN 6,500 CLIENTS WORLDWIDE.
    We operate in all sectors: Aeronautics, Space, Defence, Security & Naval, Automotive, Rail & Mobility, Energy & Environment, Life Sciences & Health, Industrial Equipment & Electronics, Telecoms, Banking, Finance & Insurance, Retail, Services & Medias, Public Services & Government.
    We carry out complex and highly technical projects throughout the value chain of the most prestigious companies worldwide.
    Our motto: Building Tomorrow’s World Today!
    Senior Data Engineer (AI/GCP)
    I apply to:
    ALTEN Polska
    Katowice, Silesian
    Pracodawca zbiera zgłoszenia przez swój system.
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