Senior AI Engineer - Applied AI & Agentic Systems

Full-timeSenior

AI Tools

AutoGenHuggingFaceLangChainLangGraphSemantic Kernel

Tech Stack

PythonTypeScriptJavaScriptPyTorchTensorFlowAzureAWSGCPDockerKubernetes

Agent Workflow

Build agent-based systems using LangGraph, LangChain, AutoGen, or Semantic Kernel. Develop applications using LLMs, RAG pipelines, embeddings, and vector databases. Apply MLOps/LLMOps practices for production deployment.

About the Role

Tietoevry is a leading Nordic digital services and software company. This role is within Tietoevry Tech Services (Vivicta Oy), focusing on designing and deploying production-ready AI applications combining data engineering, applied machine learning, and full-stack development.

Key Responsibilities:

  • Develop and deploy applications using LLMs, RAG pipelines, embeddings, and vector databases
  • Build agent-based systems with frameworks like LangGraph, LangChain, or AutoGen
  • Design and optimize data pipelines for structured and unstructured data with governance focus
  • Apply MLOps/LLMOps practices including containerization, CI/CD, and monitoring
  • Build APIs and integrate AI models with business applications
  • Deploy solutions across Azure AI Foundry, AWS SageMaker, and GCP Vertex

Mandatory Requirements:

  • Strong communication skills in both Finnish and English (mandatory)
  • 3+ years in AI/ML engineering, data engineering, or software development with production experience
  • Strong Python skills
  • Working knowledge of JavaScript/TypeScript
  • Experience with ML/AI frameworks (PyTorch, TensorFlow, HuggingFace)
  • Familiarity with LLMs, retrieval pipelines, embeddings, vector databases
  • Cloud ML platform experience (Azure AI Foundry, AWS SageMaker, GCP Vertex)
  • Docker/Kubernetes containerization knowledge

Preferred:

  • Agent frameworks or multi-agent systems experience
  • Multimodal AI expertise (text, vision, speech)
  • AI evaluation frameworks (RAGAS, PyRIT, promptfoo)
  • EU AI Act and Responsible AI knowledge
  • Open-source contributions

Tech Stack: Python, JavaScript/TypeScript, PyTorch, TensorFlow, HuggingFace, LangGraph, LangChain, AutoGen, Semantic Kernel, Azure AI Foundry, AWS SageMaker, GCP Vertex, Docker, Kubernetes, SQL/NoSQL

Benefits:

  • Professional growth and meaningful projects
  • Flexible hybrid work model (telecommute available)
  • Open culture emphasizing continuous learning

Posted: March 31, 2026. Closes: May 1, 2026.
EU citizenship or residency required due to GDPR and regulatory requirements.
Interviews held on a continuous basis.

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