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AI Engineer

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AI Engineer in Others new

  • Hamburg, Germany

Responsibilities

  • Design, develop, and deploy data-driven AI and predictive modeling solutions tailored to client challenges.
  • Consult with clients, define AI use cases, validate proofs of concept, and deploy scalable production-ready systems.
  • Build and maintain end-to-end AI systems with scalability, observability, monitoring, and continuous model-performance optimization.
  • Develop multi-agent and AI workflows that orchestrate data, tools, and context into production-grade solutions.
  • Architect modular backend services and integrate AI components into broader software ecosystems.
  • Design, document, and develop APIs connecting AI workflows with end-user applications.
  • Collaborate with backend engineers, frontend developers, DevOps, strategists, and clients to deliver solutions.
  • Present and explain complex technical solutions to technical and non-technical stakeholders.

Requirements

  • Hands-on experience building and deploying machine learning and AI solutions using technologies such as Scikit-learn, TensorFlow, PyTorch, LangChain, or LangGraph.
  • Experience across the full generative AI lifecycle, including observability, prompt optimization, evaluation, deployment, and production monitoring.
  • Experience with AWS, Azure, or GCP and their AI services, including SageMaker, Azure ML, or Vertex AI.
  • Strong Python proficiency and experience writing clean, testable, reusable code in professional software development environments.
  • Experience designing and implementing RAG solutions, including multi-source data ingestion, embedding strategies, and vector search database integration.
  • Direct availability to start working in Budapest, Hungary.
  • Preferred experience building and scaling APIs, with FastAPI preferred.
  • Preferred experience with Docker, CI/CD pipelines, and Git-based collaborative workflows.
  • Preferred understanding of cloud security, authentication, scalability, and guardrails for real-time AI applications.
  • Preferred theoretical foundation in deep neural network architectures such as transformers.
  • An MSc in a technical field focused on software, data, and AI is preferred.
  • Strong communication skills and ability to explain technical concepts to business stakeholders.

Benefits

  • Hybrid working policy; the role is available across listed European locations and requires direct availability to work in Budapest, Hungary.
  • Training, development, and certification opportunities.
  • Global annual DEPT Cares Month for employee charity-support activities.
  • Inclusive workplace with reasonable-adjustment support; benefits may vary by location.

DEPT®

DEPT® is a global technology and marketing services agency that designs and builds digital products, campaigns, and commerce for large brands. It delivers strategy and execution across brand/media, experience design, commerce, CRM, and technology/data as a fee-for-service agency. Headquartered in...

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